OccamPrism — Sample Proposal Evaluation Report · Enhanced Rationale Protocol Demonstration

Sample Proposal Evaluation Report

Enhanced Rationale Protocol Demonstration

A human-reviewable evaluation artifact showing claim support, evidence sufficiency, rationale depth, and unresolved evaluation risk.

Solicitation Number: FED-AIGOV-2026-TS-014 (illustrative)
Procurement Type: FAR Part 15 · Negotiated · Best-Value Tradeoff
Offeror: Ardent Technical Services, Inc. (illustrative)
Evaluation Posture: Pre-Award Technical Evaluation Support
Evaluation Date: 2026-05-04
Engine: OccamPrism · enhanced-rationale-protocol-v1.0

Sample Artifact — Synthetic Evaluation

This document is a synthetic demonstration prepared to illustrate the OccamPrism enhanced rationale protocol. The solicitation, offeror, citations, and findings shown here are illustrative and do not represent any actual procurement, source selection record, or government determination. Nothing in this document constitutes a final agency decision, certification, or legal opinion. All findings shown are subject to evaluator adoption, modification, or rejection by the responsible source selection team.

SECTION 1Evaluation Context Setup of the synthetic evaluation scenario, scoped to a narrow technical subfactor for demonstration purposes.

This sample report evaluates selected technical claims from an offeror's proposal under a fictional federal technical services solicitation. The purpose is to demonstrate OccamPrism's enhanced rationale protocol: isolating proposal claims, mapping them to solicitation requirements, assessing evidence sufficiency, and generating human-reviewable findings for evaluator consideration.

Procurement Type	FAR Part 15 negotiated procurement, best-value tradeoff, with discussions anticipated under FAR 15.306(d).
Evaluation Factor / Subfactor	Factor 1 — Technical Approach. Subfactor 1.2 — AI Governance and Cybersecurity Controls for Government-Use AI Systems.
Relevant Requirement Summary	The Contractor shall implement an AI governance program that (a) inventories AI use cases, (b) classifies risk consistent with OMB M-24-10 and NIST AI RMF 1.0, (c) implements continuous monitoring of model behavior, and (d) supports independent evaluator review of model evidence prior to operational use.
Proposal Section Reviewed	Volume I — Technical Approach, §4.2 "AI Governance and Assurance" (pp. 31–47), with cross-reference matrix in §1.5 (Compliance Crosswalk, pp. 6–9).
Evaluation Posture	Pre-award technical evaluation support. OccamPrism findings are advisory inputs to the human evaluation team; they do not constitute a source selection determination.
Human-Review Note	Every finding in this report requires evaluator adoption, modification, or rejection. The reasoning chain below is intended to be auditable and contestable, not authoritative on its own.

Scope Boundary

The findings in this artifact are scoped to a single subfactor (1.2) for demonstration purposes. A complete source selection evaluation would apply the same protocol across every evaluation factor and subfactor and would be assembled into the contemporaneous evaluation record by the responsible Source Selection Evaluation Board.

SECTION 2Enhanced Rationale Protocol The seven-step protocol applied to each finding in this artifact.

The enhanced rationale protocol is the procedure OccamPrism applies to each evaluable proposal claim before a finding is presented for evaluator review. Each finding in Section 4 is the output of all seven steps. The reasoning at each step is shown explicitly so that an evaluator, auditor, or protest reviewer can examine, accept, modify, or reject the chain at any link.

Claim Isolation

OccamPrism identifies the exact assertion being made by the proposal — the specific feature, capability, performance characteristic, control, or commitment the offeror has placed in the record. Inferred or paraphrased claims are flagged separately from quoted claims.
Requirement Mapping

The claim is mapped to the applicable solicitation requirement, evaluation factor, subfactor, or technical standard (Section L instruction, Section M factor, SOW/PWS clause, or referenced authority such as NIST, OMB, FAR, or DFARS). Where multiple requirements are implicated, each is mapped explicitly.
Evidence Identification

The system identifies what evidence the proposal actually provides — specific quoted text, cited appendices, named tools, named personnel, attached artifacts, or referenced documents — and the page or section where that evidence resides. Absence of evidence is recorded as such, not inferred away.
Evidence Sufficiency Review

The system evaluates whether the evidence is the right type, level, and quality for the claim being made. A claim that requires demonstrated capability cannot be supported by an aspirational statement; a claim that requires named tooling cannot be supported by a generic capability narrative. Sufficiency is assessed against the claim's evaluative weight, not against a uniform threshold.
Rationale Development

The finding explains why the evidence supports, partially supports, or fails to support the claim. The rationale is written in the evaluator's voice — source-bound, evidence-disciplined, and traceable. Where the rationale rests on assumptions, those assumptions are surfaced rather than concealed.
Risk and Consequence Assessment

The finding explains the evaluation significance — operational risk, acquisition risk, performance risk, schedule risk, compliance risk, or ambiguity created by the proposal record. The consequence is stated in terms a contracting officer, program manager, or source selection authority can act on.
Confidence and Review Status

The finding assigns a confidence posture (with the basis for that confidence) and identifies whether human evaluator review is required, whether a clarification under FAR 15.306(a) would resolve the issue, and whether discussions under FAR 15.306(d) may be warranted. No finding is presented as final; every finding is presented as a candidate for evaluator adjudication.

The seven steps are applied sequentially and are visible in every finding in Section 4. Where a step cannot be completed because the underlying record is silent or ambiguous, the finding records that condition explicitly rather than substituting inference for evidence.

SECTION 3Findings Summary Counts of findings produced by the enhanced rationale protocol within the scoped subfactor. Severity classifications align with FAR 15.305(a) usage.

Strengths

Weaknesses

Significant Weaknesses

Deficiency

Observation

Quantitative Indicators by Finding

Finding	Classification	Subfactor Element	Key Indicator	Protocol-Level Quantitative Score
`FIND-001`	Strength	1.2(a) Use-Case Inventory	100%	SOW §C.5.2 element coverage: 4 of 4 elements addressed (100%); schema mapping 14/14 attributes; reporting cadence 3× baseline.
`FIND-002`	Significant Weakness	1.2(c) Independent Evaluation	0%	SOW §C.5.4 element coverage: 0 of 4 elements addressed (0%); 0 named artifacts vs. ≥3 expected; response-time SLA undefined.
`FIND-003`	Deficiency	1.2(d) Pre-Operational Review	0%	SOW §C.5.5 temporal compliance: 0 of 1 (0%); binding-language indicators 0 of 3; gate-conformance 0 of 1.
`FIND-004`	Weakness	1.2(b) Continuous Monitoring	25%	SOW §C.5.3 element coverage: 1 of 4 partial (~25%); 0 numeric thresholds vs. ≥8 expected; response-time SLA undefined.
`FIND-005`	Strength	1.2(e) Governance Authority	100%	SOW §C.5.6 element coverage: 4 of 4 elements addressed (100%); 3 of 3 documentation layers; override-resistance 1 of 1.
`FIND-006`	Weakness	1.2(f) Cybersecurity Integration	0%	SOW §C.5.7 AI-scope coverage: 0 of 4 NIST 800-53 control families enumerated (0%); 0 of ~6 AI-specific controls mapped.
`FIND-007`	Observation	L.4 Proposal Clarity	64%	L.4 consistent-terminology adherence: 7 of 11 references (~64%) use canonical name; 1 of 3 distinct terms (33%) match Appendix F charter.

Protocol-Level Indicators — Not Evaluation Scores

These percentages are structured protocol indicators reflecting coverage, adherence, or compliance against the cited SOW element, Section L instruction, or referenced standard. They are not evaluation scores, assigned ratings, source-selection determinations, or substitute judgments for the evaluation team. Each indicator is fully expanded under the corresponding finding's "Quantitative Assessment" row in Section 4.

Evaluator Review Required

The classifications above are the protocol's recommended categorizations based on the available proposal record. Adoption, modification, or rejection of each classification is reserved to the human evaluation team. The agency's contemporaneous evaluation record — not this artifact — is the authoritative source selection document.

SECTION 4Detailed Findings (Enhanced Rationale Protocol) Each finding shows the proposal assertion, the applicable requirement, the evidence provided, any evidence gap or ambiguity, the evaluator rationale, the consequence, the confidence posture and basis, the human-review status, and any unresolved issues or required clarifications.

FIND-001 · Strength · Subfactor 1.2 — AI Use-Case Inventory and Risk Classification Strength

Proposal Assertion

The Offeror asserts that all in-scope AI use cases will be inventoried and classified per OMB M-24-10 risk categories prior to operational use, with classifications maintained in a versioned register reviewable by the Government.

"Each AI use case proposed for Government deployment will be entered into the Ardent AI Use-Case Register, classified against the OMB M-24-10 rights-impacting and safety-impacting criteria, and reviewed by the Ardent AI Governance Board prior to operational use. The Register is provided to the Contracting Officer's Representative on a monthly cadence." Vol I, §4.2.1, p. 33

Applicable Requirement

Section M Factor 1, Subfactor 1.2(a) — AI Use-Case Inventory and Risk Classification. SOW §C.5.2 incorporates OMB M-24-10 (Advancing Governance, Innovation, and Risk Management for Agency Use of AI) and NIST AI RMF 1.0 GOVERN-1.1 and MAP-1.1 by reference.

Evidence Provided

The proposal provides (i) a documented use-case register schema (Vol I, Appendix D-2) with named fields aligned to M-24-10 categories; (ii) a sample populated entry for a redacted predecessor contract (Vol I, Appendix D-3); (iii) the AI Governance Board charter naming the chair, members, and quorum rules (Vol II, §3.4, p. 18); and (iv) a monthly reporting template with the COR distribution path (Vol I, §4.2.1, p. 34).

Evidence Gap / Ambiguity

None material to this claim. The schema, sample, governance body, and reporting cadence are each present and traceable. The redaction of the predecessor sample is appropriate for a competition-sensitive submission and does not affect sufficiency for this evaluation.

Quantitative Assessment

SOW §C.5.2 element coverage: 4 of 4 required elements addressed (100%) — (i) inventory schema, (ii) M-24-10 risk classification, (iii) governance review body, (iv) Government reporting path.

Schema attribute mapping: 14 of 14 OMB M-24-10 required attributes for rights-impacting and safety-impacting AI use cases are present in the register schema (Vol I, App. D-2). Mapping completeness: 100%.

Reporting cadence vs. standard: Committed monthly cadence (≤30 days) compared against OMB M-24-10 §5(c) implementation guidance commonly interpreted as ≤90 days. Cadence exceeds typical baseline by a factor of 3×.

Corroborating artifact count: 4 independent artifacts (schema + populated sample + chartered governance body + reporting template) vs. an evidentiary-sufficiency floor of 2 corroborating artifacts for a strength classification under this protocol. Margin above floor: +2.

NIST AI RMF alignment: GOVERN-1.1 (policies and procedures) and MAP-1.1 (context establishment) — both fully addressed at the documented-artifact level. Alignment score: 2 of 2 mapped subcategories satisfied.

Evaluator Rationale

The record supports a finding that the Offeror has demonstrated, through documented schema, populated example, named governance structure, and committed reporting cadence, an inventory and classification approach that materially aligns to OMB M-24-10 and NIST AI RMF GOVERN-1.1. The combination of artifact (schema), instance (sample), authority (board charter), and operational commitment (monthly COR reporting) is appropriately layered for the evaluative weight of this subfactor element.

Consequence

Reduces the Government's post-award assurance burden under M-24-10. Provides a defensible audit trail for AI risk classifications and a predictable surface for COR oversight. Does not, on its own, satisfy continuous-monitoring obligations evaluated separately under FIND-004.

Confidence Posture

High

Basis: Multiple independent, named artifacts in the proposal record corroborate the same claim. Each artifact is locatable, citable, and internally consistent. Confidence is bounded to what the proposal record demonstrates; it does not extend to post-award execution.

Human-Review Status

Evaluator Review Required

The finding should be reviewed by the evaluation team for adoption as a strength under Subfactor 1.2(a). The protocol does not assign credit on its own; the evaluation team retains authority to adopt, modify, or reject this classification.

Unresolved Issues / Clarifications

None at the subfactor-element level for this claim. If discussions are opened on unrelated grounds, the evaluation team may wish to confirm that the Use-Case Register will be made available in a machine-readable format suitable for agency aggregation. This is not a deficiency and is offered as evaluator-discretion only.

FIND-002 · Significant Weakness · Subfactor 1.2 — Model Evaluation Evidence Significant Weakness

Proposal Assertion

The Offeror asserts that all production AI models will undergo "rigorous independent evaluation" prior to operational use and that evaluation evidence will be made available to Government reviewers on request.

"All production AI models are subject to rigorous independent evaluation prior to deployment. Evaluation evidence is retained and is available to Government reviewers upon request." Vol I, §4.2.3, p. 38

Applicable Requirement

Section M Factor 1, Subfactor 1.2(c) — Independent Model Evaluation Evidence. SOW §C.5.4 requires the Contractor to (i) define the evaluation methodology, (ii) identify the independence boundary between model developers and evaluators, (iii) define the evidence artifacts to be produced, and (iv) specify the conditions under which evaluation evidence is provided to the Government.

Evidence Provided

The proposal references "rigorous independent evaluation" but does not name the evaluation methodology, identify the independent evaluator (organization or role), specify the evidence artifacts (e.g., evaluation report, dataset cards, behavioral test results, red-team transcripts), define the independence boundary, or commit to a delivery schedule. No sample evaluation artifact is attached.

Evidence Gap / Ambiguity

Four of the four SOW §C.5.4 elements are not addressed in identifiable, evaluable form. The phrase "available upon request" creates an additional ambiguity because it does not establish whether the evidence is preexisting at the time of request or generated reactively, which materially affects the Government's ability to rely on it for risk acceptance.

Quantitative Assessment

SOW §C.5.4 element coverage: 0 of 4 required elements addressed in identifiable, evaluable form (0%) — (i) methodology not named, (ii) independence boundary not defined, (iii) evidence artifacts not enumerated, (iv) delivery cadence not committed.

Proposal text volume on this requirement: 27 words on the §C.5.4 topic in §4.2.3, vs. an internal benchmark of 600–1,000 words observed in proposals that have addressed all four §C.5.4 elements at an evaluable level. Volume-vs-benchmark ratio: ~3% of expected coverage band.

Named artifacts: 0 evaluation artifacts attached or named (e.g., evaluation report template, dataset cards, behavioral test results, red-team transcript). Standard practice for SOW §C.5.4 anticipates ≥3 artifact types. Artifact-coverage rate: 0 of ≥3 (0%).

Independence-boundary specification: 0 of 3 expected independence indicators provided (organizational separation, role separation, contractual independence). Independence-evidence rate: 0%.

Response-time commitment: Undefined ("available upon request"). NIST AI 600-1 alignment commonly anticipates ≤10 business days for evaluator-evidence delivery to authorized reviewers. Proposal commitment: not specified.

Severity-vs-FIND-004 calibration: FIND-002 has 0 of 4 elements addressed; FIND-004 has 1 of 4 partially addressed. The quantitative gap (4-element absence vs. 3-element absence + 1 partial) is the basis for FIND-002 being classified as Significant Weakness while FIND-004 is classified as Weakness.

Evaluator Rationale

The submitted evidence is insufficient to establish that the Offeror's independent model evaluation approach satisfies SOW §C.5.4. The proposal does not demonstrate methodology, independence, artifact set, or delivery commitment. The single quoted sentence is an aspirational statement, not an evaluable approach. This rationale is based on the available proposal record; if the Offeror maintains a more developed approach internally, that information is not presently in the record under evaluation.

Consequence

Appreciably increases the risk that the Government will be unable to verify, prior to operational use, that production models meet the required behavioral and safety thresholds. Creates a meaningful gap between the offeror's stated capability and the offeror's demonstrated capability. Limits the Government's ability to exercise informed risk acceptance under M-24-10 §5.b.

Confidence Posture

High

Basis: The gap is established by the absence of identifiable text in the proposal addressing the four SOW §C.5.4 elements. Confidence is in the existence of the gap, not in any inference about offeror intent. The finding is high-confidence because it rests on what the record does not contain, which is directly observable.

Human-Review Status

Evaluator Review Required · Discussion Candidate

Recommended for evaluator review as a significant weakness under Subfactor 1.2(c). If the Source Selection Authority elects to open discussions under FAR 15.306(d), this finding identifies a defensible basis for a discussion item. Human evaluator adoption, modification, or rejection required.

Unresolved Issues / Clarifications

Recommended clarification topics, should discussions be opened (each addressable in a Final Proposal Revision):

Identify the independent evaluation methodology (e.g., NIST AI 600-1 alignment, internal evaluation protocol, third-party laboratory).
Identify the independence boundary between model developers and evaluators (organizational, role-based, or contractual).
Enumerate the evidence artifacts produced per evaluation cycle and provide a representative example.
State whether evaluation evidence will be delivered on a fixed cadence or only on Government request, and the response time committed.

FIND-003 · Deficiency · Subfactor 1.2 — Pre-Operational Independent Review Deficiency

Proposal Assertion

The Offeror commits to performing independent review of model evidence "as resources allow during the operational period."

"Independent review of model evidence will be conducted by the Ardent Assurance Office as resources allow during the operational period of performance." Vol I, §4.2.4, p. 41

Applicable Requirement

Section M Factor 1, Subfactor 1.2(d) — Pre-Operational Independent Review. SOW §C.5.5 requires that "no AI model shall be placed into operational use prior to completion of an independent review of model evaluation evidence by an organizationally distinct reviewer." The requirement is stated as a condition precedent to operational use.

Evidence Provided

The single sentence quoted above is the only material text on this requirement. No timing diagram, no gate criterion, and no organizational chart establishing the independence of the Ardent Assurance Office from model development teams is provided.

Evidence Gap / Ambiguity

Two distinct gaps. First, the proposal places independent review "during the operational period," which is temporally inconsistent with the SOW §C.5.5 requirement that review precede operational use. Second, "as resources allow" is a non-committal qualifier that does not establish a binding condition precedent. The combination is not a phrasing ambiguity; it is a substantive divergence from the requirement.

Quantitative Assessment

SOW §C.5.5 requirement satisfaction: 0% on the timing dimension. The SOW requirement is a condition precedent (review must occur before operational use); the proposal places review during the operational period. Temporal compliance: 0 of 1 (the activity is scheduled in the wrong epoch relative to the gate).

Mandatory-language match: SOW §C.5.5 uses "shall" (1 binding verb). Proposal uses "as resources allow" (0 of 3 binding-language indicators present in the proposal commitment: "shall," "will," "must"). Binding-strength score: 0 of 3.

Gate-vs-best-effort posture: SOW expects a hard gate (binary 1 = gate enforced; 0 = gate absent). Proposal posture: 0 (best-efforts in-period activity, not a gate). Gate-conformance score: 0 of 1.

Independence boundary documentation: 0 of 3 expected independence indicators provided (organizational chart establishing reporting separation, role-based authority delineation, contractual independence clause). Independence-evidence rate: 0%.

Material-failure categorization: The proposal as written would permit a 100% rate of operational deployment without pre-operational independent review — the precise outcome §C.5.5 is structured to prevent. This is a categorical (not gradational) failure mode and is the quantitative basis for the deficiency classification rather than a weakness or significant weakness.

Evaluator Rationale

The proposal does not demonstrate a pre-operational independent review approach. As written, the proposal substitutes a best-efforts in-period activity for the required pre-operational gate. The record supports a conclusion that, on its face, the proposal materially fails to meet a stated SOW requirement. This rationale is based on the available proposal record and the literal terms of SOW §C.5.5.

Consequence

On its face, models could be placed into operational use without independent review, which is the specific outcome §C.5.5 is structured to prevent. This represents a material failure of a stated requirement, the consequence of which is that the proposal as submitted does not meet the requirement.

Confidence Posture

High

Basis: The finding rests on a literal comparison between the SOW text (pre-operational, mandatory) and the proposal text (in-period, best-efforts). The divergence is observable on the face of the record and does not depend on inference.

Human-Review Status

Evaluator Review Required · Deficiency Candidate

Recommended for evaluator review as a deficiency under Subfactor 1.2(d). The classification, the decision whether to open discussions, and any award decision are reserved to the responsible source selection officials. Human evaluator adoption, modification, or rejection required.

Unresolved Issues / Clarifications

If discussions are opened, the Offeror should be afforded the opportunity to revise the proposal to (i) commit to pre-operational independent review as a condition precedent to operational use, (ii) replace "as resources allow" with a binding commitment, and (iii) describe how organizational independence between the Ardent Assurance Office and model development teams is established and maintained.

FIND-004 · Weakness · Subfactor 1.2 — Continuous Monitoring of Model Behavior Weakness

Proposal Assertion

The Offeror asserts continuous monitoring of model behavior with anomaly detection and drift alerting.

"Production models are continuously monitored for behavioral drift, distributional shift, and adversarial input patterns. Alerts are routed to the AI Operations team for triage." Vol I, §4.2.5, p. 43

Applicable Requirement

Section M Factor 1, Subfactor 1.2(b) — Continuous Monitoring. SOW §C.5.3 requires continuous monitoring with (i) defined monitored metrics, (ii) defined alerting thresholds, (iii) a defined response time, and (iv) a defined escalation path to the Government when threshold breaches occur.

Evidence Provided

The proposal provides a list of monitored signal categories (drift, distributional shift, adversarial input patterns) and identifies the receiving team (AI Operations). Vol I §4.2.5 includes a high-level diagram of the monitoring pipeline. No specific thresholds, response-time commitments, or Government escalation triggers are stated.

Evidence Gap / Ambiguity

The proposal addresses element (i) of SOW §C.5.3 partially (categories named but specific metrics not enumerated) and does not address elements (ii), (iii), or (iv) in identifiable form. The gap is narrower than FIND-002 because the offeror has demonstrated that monitoring exists in concept; the gap is in the operational specificity required for evaluator confidence.

Quantitative Assessment

SOW §C.5.3 element coverage: 1 of 4 required elements partially addressed (~25% partial coverage). Element (i) monitored metrics: partial — 3 signal categories named (drift, distributional shift, adversarial input patterns) but no specific metrics enumerated. Elements (ii) thresholds, (iii) response time, (iv) Government escalation: 0% addressed.

Specific metrics enumerated: 0 named metrics vs. ≥8 typically expected for production-AI continuous monitoring (e.g., PSI for drift, KL-divergence for distributional shift, attack-success rate, false-positive rate, latency p50/p95/p99, throughput, model-confidence distribution, output-class balance). Metric specificity rate: 0 of ~8 (0%).

Threshold values stated: 0 numeric thresholds in proposal record. Standard practice (NIST SP 800-137 §3.2 and NIST AI RMF MEASURE-2.7) anticipates ≥1 threshold per monitored metric. Threshold-specification rate: 0 of ≥8 expected (0%).

Response-time SLA: Undefined. NIST AI RMF MEASURE-2.7 implementation guidance commonly anticipates ≤4-hour response for high-severity drift events and ≤24-hour response for medium-severity. Proposal commitment: not specified.

Government escalation triggers: 0 of ≥1 expected escalation paths defined. Government-visibility window: undefined.

Severity weighting rationale: Gap is one of specificity (1 of 4 elements partial; 3 of 4 absent), not absence — distinguishing this finding from FIND-002 (4 of 4 absent). Severity calibrated to Weakness rather than Significant Weakness on that quantitative basis.

Evaluator Rationale

The submitted evidence is insufficient to fully establish that the proposed monitoring approach satisfies SOW §C.5.3. The record demonstrates intent and category-level coverage but not the threshold, response, and escalation specificity the SOW requires. The proposal does not demonstrate, in the record presently before the evaluator, the operational-level commitments needed to assess whether monitoring will be effective in practice.

Consequence

Increases evaluator uncertainty as to whether monitoring will produce timely, actionable signals to the Government. The risk is meaningful but not, in itself, disqualifying; it is appropriately classified at the weakness severity level rather than significant weakness or deficiency, because the gap is one of specificity rather than absence.

Confidence Posture

Medium

Basis: The category-level evidence is present and verifiable; the operational-level evidence is absent. Confidence in the gap is high, but confidence in the appropriate severity classification is medium because reasonable evaluators may differ on whether the omission rises to a significant weakness depending on weighting under Subfactor 1.2(b). The classification is offered for evaluator review.

Human-Review Status

Evaluator Review Required

Recommended for evaluator review as a weakness under Subfactor 1.2(b). The finding should be reviewed by the evaluation team and may be elevated to significant weakness if the evaluation team weights operational specificity more heavily under the SOW.

Unresolved Issues / Clarifications

Candidate clarification under FAR 15.306(a) (if the proposal is otherwise within the competitive range): request that the Offeror identify the specific monitored metrics, thresholds, response-time commitments, and Government escalation triggers tied to threshold breaches under SOW §C.5.3.

FIND-005 · Strength · Subfactor 1.2 — AI Governance Board Authority Strength

Proposal Assertion

The Offeror asserts that the AI Governance Board has authority to halt model deployment, including authority to override development-team timelines.

"The AI Governance Board is empowered, by chartered authority countersigned by the Chief Executive Officer, to halt or rescind any model deployment regardless of program schedule. Halt decisions are non-overrideable by program management and are recorded in the AI Governance Decision Log." Vol I, §4.2.2, p. 36; Charter at Vol II, App. F

Applicable Requirement

Section M Factor 1, Subfactor 1.2(e) — Governance Authority. SOW §C.5.6 requires that the offeror's AI governance body have demonstrable authority to prevent operational use of AI models that fail evaluation, that this authority be documented, and that it be insulated from program-schedule pressure.

Evidence Provided

The Board charter is attached as Appendix F (Vol II) and is countersigned by the offeror's CEO. The charter explicitly states the halt authority, names the non-overrideable status, and references the Decision Log. The Decision Log structure is documented at Vol I §4.2.2, p. 37.

Evidence Gap / Ambiguity

None material. The authority is documented at the charter level (executive countersignature), at the operational level (Decision Log), and at the procedural level (non-overrideable status). The combination addresses each element of SOW §C.5.6.

Quantitative Assessment

SOW §C.5.6 element coverage: 4 of 4 required elements addressed (100%) — (i) demonstrable halt authority, (ii) documented authority, (iii) insulation from program-schedule pressure, (iv) auditable record.

Authority documentation layers: 3 corroborating layers present — chartered authority (Vol II App. F), CEO countersignature (1 of 1 expected executive endorsements), and Decision Log instrument (Vol I §4.2.2). Layer-completeness score: 3 of 3 (100%).

Override-resistance posture: Binary "non-overrideable" status declared in charter — value 1 on a 0/1 scale (where 0 = overrideable, 1 = non-overrideable). Compares favorably to FAR 15.305(a) reasonable-evaluation expectation that governance authority be insulated from schedule pressure.

NIST AI RMF GOVERN-2 alignment: GOVERN-2.1 (accountability roles) and GOVERN-2.3 (executive sponsorship) — both addressed at the documented-artifact level. Alignment score: 2 of 2 mapped subcategories satisfied.

Decision-log instrumentation: 1 of 1 expected accountability artifacts (the Decision Log) defined in the proposal record. Post-award observability surface: defined and traceable.

Evaluator Rationale

The record supports a finding that the Offeror has demonstrated governance authority sufficient to satisfy SOW §C.5.6. The layered evidence — chartered authority, executive countersignature, non-overrideable status, and a corresponding decision-record artifact — exceeds a minimum compliance posture and provides the Government with an auditable accountability surface.

Consequence

Provides the Government a defensible accountability surface for AI deployment decisions. Reduces the residual risk that a model failing evaluation would nevertheless be deployed under program-schedule pressure. Supports broader confidence in the offeror's AI governance posture under Subfactor 1.2.

Confidence Posture

High

Basis: Multi-layer documentation (charter, signature, log) is present and citable. Confidence is bounded to the documented authority; effectiveness in practice will be observable post-award through the Decision Log, which the offeror has committed to maintain.

Human-Review Status

Evaluator Review Required

Recommended for evaluator review as a strength under Subfactor 1.2(e). Human evaluator adoption, modification, or rejection required.

Unresolved Issues / Clarifications

None. Optional evaluator-discretion item: confirm at award-kickoff whether the Decision Log will be made available for COR inspection on a defined cadence; this is administrative and not a basis for any finding.

FIND-006 · Weakness · Subfactor 1.2 — Cross-Reference to Cybersecurity Controls Weakness

Proposal Assertion

The Offeror asserts that AI governance is "integrated with" the offeror's existing FedRAMP Moderate cybersecurity control posture.

"The AI Governance program is integrated with our existing FedRAMP Moderate control set, ensuring consistent security posture across AI and non-AI systems." Vol I, §4.2.6, p. 45

Applicable Requirement

Section M Factor 1, Subfactor 1.2(f) — Cybersecurity Integration. SOW §C.5.7 requires the offeror to identify the specific NIST SP 800-53 control families inherited or extended for AI-specific risk (notably AC, AU, RA, SI control families) and to address AI-specific extensions consistent with NIST AI RMF MANAGE-2.

Evidence Provided

The proposal asserts integration but does not enumerate the specific 800-53 control families addressed, identify which controls are inherited versus AI-specific extensions, or cross-reference NIST AI RMF MANAGE-2. No control inheritance matrix is provided for the AI scope.

Evidence Gap / Ambiguity

The claim of integration is not specifically supported by control-family-level evidence within the AI scope. The offeror's underlying FedRAMP Moderate posture is established elsewhere in the proposal record, but the AI-specific extension layer is not separately demonstrated.

Quantitative Assessment

SOW §C.5.7 element coverage: 0 of 4 expected NIST SP 800-53 Rev. 5 control families enumerated for AI scope (AC — Access Control, AU — Audit & Accountability, RA — Risk Assessment, SI — System & Information Integrity). Coverage rate: 0%.

AI-specific control mapping: 0 controls explicitly identified as AI-specific extensions vs. ≥6 typically expected at FedRAMP Moderate × AI-overlay scope (e.g., SI-7 Software Integrity, SI-10 Input Validation, AU-2 Audit Events, AC-3 Access Enforcement, RA-3 Risk Assessment, RA-5 Vulnerability Monitoring). Mapping coverage: 0 of ~6 (0%).

NIST AI RMF MANAGE-2 cross-reference: 0 explicit references in proposal record vs. 1 expected for SOW §C.5.7 compliance. Cross-reference rate: 0%.

Foundational baseline vs. AI-extension layer: Underlying FedRAMP Moderate baseline of ~325 controls is established elsewhere in the proposal record at the program level. AI-specific extension layer: 0 controls separately enumerated. Inheritance-vs-extension delta: undefined.

Control-inheritance matrix presence: 0 of 1 expected matrices provided. Evidence sufficiency for SOW §C.5.7: insufficient at the control-family level; sufficient at the program level only.

Evaluator Rationale

The submitted evidence is insufficient to establish AI-specific cybersecurity integration at the level SOW §C.5.7 contemplates. The proposal does not demonstrate which controls are inherited from the existing posture and which are extended for AI-specific risk. The general assertion of integration is credible at the program level but not at the control level the SOW requires.

Consequence

Limits evaluator confidence that AI-specific risks (e.g., training-data integrity under SI-7, adversarial input handling under SI-10, AI-specific audit logging under AU-2) are explicitly addressed. The risk is moderate; the offeror's existing FedRAMP posture provides a credible foundation, but the AI-specific layer is not separately evaluable.

Confidence Posture

Medium

Basis: The gap is in the AI-specific control mapping, not in the existence of an underlying control posture. Reasonable evaluators may classify this as a weakness or as a more limited evidentiary observation depending on weighting; the classification is offered for evaluator review.

Human-Review Status

Evaluator Review Required

Recommended for evaluator review as a weakness under Subfactor 1.2(f). Human evaluator adoption, modification, or rejection required.

Unresolved Issues / Clarifications

Candidate clarification under FAR 15.306(a): request an AI-scope control inheritance matrix identifying which 800-53 controls are inherited and which are AI-specific extensions, with a cross-reference to NIST AI RMF MANAGE-2.

FIND-007 · Observation · Subfactor 1.2 — Terminology Inconsistency Observation

Proposal Assertion

The proposal alternates between "AI Governance Board," "AI Governance Committee," and "Assurance Council" when referring to what appears to be the same body.

"...reviewed by the Ardent AI Governance Board prior to operational use." Vol I, §4.2.1, p. 33

"...escalated to the AI Governance Committee for adjudication." Vol I, §4.2.4, p. 41

"...the Assurance Council retains halt authority." Vol I, §4.2.5, p. 43

Applicable Requirement

Section L instruction L.4 (Proposal Clarity) instructs offerors to use consistent terminology throughout the proposal. This is a clarity instruction, not an evaluation factor.

Evidence Provided

Three different names appear in three different subsections, all in apparent reference to the same chartered body documented in Vol II Appendix F as the "AI Governance Board."

Evidence Gap / Ambiguity

It is not separately confirmable from the proposal record whether these three terms refer to a single body or to three coordinated bodies. The Vol II Appendix F charter names only the AI Governance Board, which suggests a single body, but this cannot be established from the Volume I narrative alone.

Quantitative Assessment

Distinct names for apparent same body: 3 terms in use ("AI Governance Board," "AI Governance Committee," "Assurance Council") versus 1 chartered name in Vol II App. F. Naming consistency: 1 of 3 terms (33%) match the canonical Appendix F designation.

Occurrence count across Vol I §4.2: 11 references total to a governance body. Of those, 7 of 11 (64%) use "AI Governance Board," 2 of 11 (18%) use "AI Governance Committee," and 2 of 11 (18%) use "Assurance Council." Adherence rate to L.4 (Proposal Clarity) consistent-terminology instruction: ~64%.

Cross-reference resolvability: 0 explicit cross-references in Vol I that confirm or deny equivalence among the three terms. Disambiguation evidence in record: 0 of 1 expected cross-reference statements present.

Auditability friction estimate: Low — categorically a clarity defect, not a substantive defect. Affects 0 evaluation factor scores directly but introduces a non-zero traceability cost during accountability review.

Evaluator Rationale

This observation is based on the available proposal record. It does not, on its own, support a weakness classification because it does not demonstrate a substantive deficiency; however, it creates auditability friction for evaluators tracing accountability and may merit a clarification if the proposal is otherwise within the competitive range.

Consequence

Low. Creates evaluator friction and a small but measurable risk that a reviewer or auditor will trace governance decisions to the wrong body. Does not, on its own, affect the substantive evaluation under Subfactor 1.2.

Confidence Posture

Medium

Basis: The terminology variance is observable on the face of the record. Whether it reflects a single body or three is not directly observable and would benefit from a clarification.

Human-Review Status

Evaluator Review Required

Recommended for evaluator review as an observation. The protocol does not recommend a severity classification for this item; it is offered as a clarification candidate for evaluator discretion.

Unresolved Issues / Clarifications

Candidate clarification under FAR 15.306(a): confirm whether the three named bodies are the same body, and if so, request a corrected naming in the Final Proposal Revision (if discussions are opened on other grounds) or in award-stage clarifications.

SECTION 5Human-Review Dashboard Cross-finding view summarizing what is recommended for evaluator review and what remains unresolved.

Finding	Subfactor Element	Recommended Classification	Confidence	Review Status	Unresolved Issue
`FIND-001`	1.2(a) Use-Case Inventory	Strength	High	Evaluator review	None material.
`FIND-002`	1.2(c) Independent Evaluation	Significant Weakness	High	Discussion candidate	Methodology, independence, artifact set, delivery cadence.
`FIND-003`	1.2(d) Pre-Operational Review	Deficiency	High	Discussion candidate	Pre-operational gate vs. in-period best efforts; "as resources allow" qualifier.
`FIND-004`	1.2(b) Continuous Monitoring	Weakness	Medium	Clarification candidate	Specific metrics, thresholds, response time, Government escalation.
`FIND-005`	1.2(e) Governance Authority	Strength	High	Evaluator review	None.
`FIND-006`	1.2(f) Cybersecurity Integration	Weakness	Medium	Clarification candidate	AI-specific 800-53 control mapping; AI RMF MANAGE-2 cross-reference.
`FIND-007`	L.4 Proposal Clarity	Observation	Medium	Clarification candidate	Whether AI Governance Board, AI Governance Committee, and Assurance Council are the same body.

Standing Posture

Each finding above is presented for evaluator adoption, modification, or rejection. None of these findings constitutes a final agency decision. The Source Selection Authority retains exclusive authority over award-related determinations. The protocol's role is to make the reasoning chain visible, not to substitute for evaluator judgment.

SECTION 6Assumptions, Limitations, and Boundary Conditions Disclosures that bound the reliability of this artifact and inform evaluator weighting.

Record-bound analysis. Every finding is based on the proposal record as submitted. The protocol does not consider information outside the record (e.g., unsubmitted offeror capability, prior performance not cited in the past performance volume, or oral representations). Where information may exist outside the record, the protocol records that condition and defers to evaluator review.
Citation-traceability requirement. No finding is supported solely by a paraphrase. Each finding cites a specific proposal location and a specific solicitation requirement. If a citation is absent, the finding is downgraded or withheld.
Severity is recommended, not assigned. Severity classifications (strength, weakness, significant weakness, deficiency, observation) are recommendations for evaluator review. Final classification authority rests with the responsible source selection officials.
Confidence posture is bounded. Confidence is in the existence and direction of each gap or strength as drawn from the record. It does not extend to predictions about post-award performance.
Discussion vs. clarification framing. Where the protocol identifies a finding as a "clarification candidate" or "discussion candidate," that designation reflects the protocol's view of the appropriate FAR 15.306 mechanism and is offered for the contracting officer's consideration; it is not a recommendation that discussions in fact be opened.
Non-decisional posture. Nothing in this artifact constitutes a final agency decision, certification, or legal opinion. The artifact is a structured input to evaluator deliberation, not a substitute for it.
Synthetic data. The solicitation, offeror, citations, and findings shown here are illustrative. They are designed to be plausible against a federal evaluation context but do not reflect any actual procurement.

SECTION 7Authorities Referenced Authorities cited or relied upon in this synthetic evaluation. The cited authorities are real; their application here is illustrative.

FAR 15.305 — Proposal evaluation
FAR 15.306(a) — Clarifications and award without discussions
FAR 15.306(d) — Exchanges with offerors after establishment of the competitive range
FAR 15.308 — Source selection decision
FAR 15.404-1 — Proposal analysis techniques
OMB M-24-10 — Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence
NIST AI RMF 1.0 — Artificial Intelligence Risk Management Framework
NIST AI 600-1 — Generative AI Profile (referenced for evaluation methodology context)
NIST SP 800-53 Rev. 5 — Security and Privacy Controls (AC, AU, RA, SI families)
NIST SP 800-137 — Information Security Continuous Monitoring (referenced for monitoring context)

SECTION 8Indicator Methodology (Appendix) Counting rule, denominator source, and worked example for each indicator type used in the Section 3 "Quantitative Indicators by Finding" table. Provided so that every percentage shown in this artifact is reconstructible from the proposal record without recourse to the protocol's internal state.

How to Read This Appendix

Each indicator below is a protocol-level structural measurement, not an evaluation score. Every indicator names (1) the unit being counted, (2) the rule for incrementing the numerator, (3) the authoritative source of the denominator, and (4) a worked example tied to a specific finding in Section 4. An evaluator can recompute any indicator by hand from the cited proposal text and the cited authority.

8.1 · Element Coverage % Coverage Indicator

Indicator Unit	One required SOW element (a discrete, separately-stated obligation enumerated within a single SOW clause).
Counting Rule (Numerator)	Increment by 1 for each SOW element that is addressed in identifiable, evaluable form in the proposal record — i.e., named, located, and specific enough that an evaluator can cite a page reference. Aspirational language without a citable artifact, named role, named cadence, or named instrument does not increment the numerator. Partial coverage is recorded as a fractional unit (typically 0.5 or recorded textually as "partial"); the table in Section 3 surfaces the partial state explicitly rather than rounding.
Denominator Source	The enumerated elements within the cited SOW clause (e.g., SOW §C.5.2(i)–(iv) yields a denominator of 4). Denominator is fixed by the solicitation, not by the protocol.
Out-of-Range Handling	If an element is materially absent from the proposal record, it counts as 0 of 1 — not as "indeterminate." Absence is observable and is recorded as such.
Worked Example	FIND-001 · SOW §C.5.2 (4 elements). The proposal addresses (i) inventory schema [Vol I App. D-2], (ii) M-24-10 risk classification [Vol I §4.2.1, p. 33], (iii) governance review body [Vol II §3.4, p. 18 — chartered AI Governance Board], (iv) Government reporting path [Vol I §4.2.1, p. 34 — monthly COR cadence]. Numerator = 4. Denominator = 4. Indicator = 4 / 4 = 100%.

8.2 · Schema Attribute Mapping Coverage Indicator

Indicator Unit	One required schema attribute (a named field, column, or data element required by an external authority for the artifact in question).
Counting Rule (Numerator)	Increment by 1 for each required attribute that appears in the offeror-proposed schema with a name that maps unambiguously to the authority's attribute. Renaming is permitted; omission is not. The mapping is performed against the offeror's submitted schema artifact (e.g., Appendix D-2), not against narrative description.
Denominator Source	The cited external authority's required attribute set — here, OMB M-24-10's enumerated rights-impacting and safety-impacting AI use-case attributes (denominator = 14 attributes for M-24-10 use-case registers at the published-guidance level).
Out-of-Range Handling	Extra attributes beyond the authority's set are not penalized and do not inflate the numerator; the indicator measures completeness against the authority, not richness of the schema.
Worked Example	FIND-001 · OMB M-24-10 use-case register schema. The offeror's Vol I App. D-2 schema contains all 14 M-24-10 required attributes for rights-impacting and safety-impacting use cases (named fields aligned to M-24-10 categories per FIND-001 evidence). Numerator = 14. Denominator = 14. Indicator = 14 / 14 = 100%.

8.3 · Temporal Compliance Conformance Indicator

Indicator Unit	One temporal constraint stated by the SOW (an obligation that an activity occur in a specified epoch — e.g., "prior to operational use," "within 30 days of award," "before initial production deployment").
Counting Rule (Numerator)	Increment by 1 only if the proposal places the corresponding activity in the SOW-specified epoch. Placement of the activity in a different epoch (earlier, later, or concurrent when the SOW requires precedent) scores 0. The indicator is binary per constraint; partial epochs are not awarded.
Denominator Source	The count of distinct temporal constraints in the cited SOW clause. For SOW §C.5.5 ("no AI model shall be placed into operational use prior to completion of an independent review"), the denominator is 1 — a single, condition-precedent constraint.
Out-of-Range Handling	If proposal language is ambiguous as to epoch, the numerator is 0 unless the proposal record contains a separate disambiguating commitment. Ambiguity does not satisfy a "shall" constraint.
Worked Example	FIND-003 · SOW §C.5.5 (1 temporal constraint, condition precedent). SOW requires review before operational use. Proposal places review "during the operational period of performance" [Vol I §4.2.4, p. 41]. Activity is scheduled in the wrong epoch relative to the gate. Numerator = 0. Denominator = 1. Indicator = 0 / 1 = 0%.

8.4 · Binding-Language Match Conformance Indicator

Indicator Unit	One binding-language indicator within the proposal commitment text corresponding to a SOW "shall" obligation. The protocol counts three indicators: `shall`, `will`, `must`.
Counting Rule (Numerator)	Increment by 1 for each of the three binding verbs that appears in the proposal sentence(s) committing to the SOW obligation. Hedged verbs (`may`, `should`, `intend to`, `plan to`, `as resources allow`, `where feasible`) do not increment the numerator and are recorded as binding-language defects when they replace a binding verb.
Denominator Source	3 — the count of recognized binding verbs the protocol scans for. The denominator is fixed by the protocol's binding-language registry, not by the SOW; the SOW supplies the obligation, the registry supplies the lexicon used to score the proposal's response.
Out-of-Range Handling	Presence of any one of the three binding verbs is sufficient to score 1 of 3; the indicator does not require all three. A score below 1 of 3 indicates that the proposal commitment text contains no binding verb, which is the condition that supports a binding-language defect.
Worked Example	FIND-003 · proposal commitment text [Vol I §4.2.4, p. 41]. "Independent review of model evidence will be conducted by the Ardent Assurance Office as resources allow during the operational period." Although the verb "will" appears, it is qualified by "as resources allow," which the protocol treats as a hedged commitment that nullifies the binding force; the protocol therefore records 0 of 3 binding-language indicators present in the operative commitment. Numerator = 0. Denominator = 3. Indicator = 0 / 3 = 0%.

8.5 · Gate Conformance Conformance Indicator

Indicator Unit	One SOW-required gate (a hard pass/fail control point — e.g., a pre-operational review, a deployment-readiness checkpoint, an independent sign-off — where failure of the gate blocks the downstream activity).
Counting Rule (Numerator)	Binary: 1 if the proposal establishes a hard gate at the SOW-required control point (i.e., a documented checkpoint whose failure prevents the downstream activity); 0 if the proposal substitutes a best-efforts in-period activity, an advisory review, or an unenforced step.
Denominator Source	The count of distinct hard gates required by the cited SOW clause. SOW §C.5.5 expects 1 hard gate (pre-operational independent review).
Out-of-Range Handling	"Soft" governance (review without halt authority, or advisory rather than blocking) scores 0 against a SOW-required hard gate. Hard gates that exist elsewhere in the proposal but are not tied to the SOW control point also score 0 for the indicator.
Worked Example	FIND-003 · SOW §C.5.5 (1 hard gate expected). SOW expects a pre-operational hard gate (binary 1 = gate enforced). Proposal posture: best-efforts in-period activity, not a gate (binary 0). Numerator = 0. Denominator = 1. Indicator = 0 / 1 = 0%. Note: the gate-conformance indicator can be cross-checked against FIND-005, where SOW §C.5.6 expects a non-overrideable halt authority (1 hard gate); the offeror's chartered, CEO-countersigned, non-overrideable Board halt authority [Vol II App. F] scores 1 of 1 for that finding (override-resistance posture in FIND-005's Quantitative Assessment).

8.6 · AI-Scope Control Coverage Coverage Indicator

Indicator Unit	One NIST SP 800-53 Rev. 5 control family (e.g., AC, AU, RA, SI) that the SOW expects the offeror to enumerate, inherit, or extend specifically for the AI scope of work.
Counting Rule (Numerator)	Increment by 1 for each expected control family that is enumerated in the proposal record at the AI-scope level — i.e., the proposal must (a) name the family, and (b) tie it to AI-specific risk or AI-specific extension. A program-level FedRAMP Moderate posture that does not separately enumerate AI-scope controls does not increment the numerator. A separate sub-indicator counts AI-specific control extensions (e.g., SI-7, SI-10, AU-2, AC-3, RA-3, RA-5) against an expected set of approximately 6 controls at the FedRAMP Moderate × AI-overlay scope.
Denominator Source	SOW §C.5.7 expected control families (denominator = 4: AC, AU, RA, SI) and, separately, the protocol's AI-overlay control set (denominator ≈ 6 AI-specific controls). NIST AI RMF MANAGE-2 cross-reference is scored as a binary 0/1 sub-indicator.
Out-of-Range Handling	Underlying baseline coverage (the offeror's ~325-control FedRAMP Moderate posture established elsewhere in the proposal record) is acknowledged separately and does not satisfy the AI-scope indicator. The indicator measures the AI-extension layer specifically.
Worked Example	FIND-006 · SOW §C.5.7. Proposal asserts integration with FedRAMP Moderate posture [Vol I §4.2.6, p. 45] but does not enumerate any of the 4 expected control families (AC, AU, RA, SI) at the AI scope, does not identify any of the ~6 expected AI-specific control extensions, and does not cross-reference NIST AI RMF MANAGE-2. Family-level numerator = 0. Family-level denominator = 4. Indicator = 0 / 4 = 0%. AI-specific extension sub-indicator = 0 / ~6 (0%). MANAGE-2 cross-reference sub-indicator = 0 / 1.

8.7 · L.4 Adherence Rate Clarity Indicator

Indicator Unit	One textual reference, within the evaluated proposal subsection, to the entity (or concept) for which the proposal has established a canonical name elsewhere in the record (typically in an appendix charter or definitions section).
Counting Rule (Numerator)	Increment by 1 for each reference that uses the canonical name as established in the offeror's own chartering or definitional artifact. Variant names — even when contextually clear — do not increment the numerator. The protocol also reports a secondary sub-indicator: the count of distinct terms in use vs. the canonical term (e.g., 1 of 3 distinct terms match the canonical name).
Denominator Source	The total count of references to the entity within the evaluated proposal scope (here, Vol I §4.2). Denominator is observed in the proposal record; canonical name is established by the offeror's own Appendix F charter, with Section L.4 (Proposal Clarity) supplying the underlying authority for the indicator.
Out-of-Range Handling	The indicator is a clarity measurement, not a substantive measurement. A low adherence rate supports an Observation classification (FIND-007) and is explicitly not a basis for a weakness or significant weakness on its own; it would, however, support evaluator friction that may merit a clarification under FAR 15.306(a).
Worked Example	FIND-007 · Vol I §4.2 governance-body references. 11 total references to a governance body. 7 use "AI Governance Board" (the canonical name per Vol II App. F charter). 2 use "AI Governance Committee." 2 use "Assurance Council." Numerator = 7. Denominator = 11. Indicator = 7 / 11 ≈ 64%. Distinct-term sub-indicator: 1 of 3 distinct terms (33%) match the canonical Appendix F designation.

Reconstructibility, Not Authority

The methodology in this appendix is provided so that every quantitative indicator in this artifact can be independently recomputed by an evaluator from the cited proposal text and the cited authority. Reconstructibility is the protocol's claim. Authority over what each indicator means for the evaluation — and whether any indicator should influence a finding's classification — remains exclusively with the responsible source selection officials. The protocol's role is to make the structural measurement transparent; the evaluator's role is to weigh it.