An independent 30-point assessment of AI and software readiness for federal agency awards.
Built by a federal Chief AI Officer and CTO holding 5 patent families in adaptive intelligence, 300+ shipped systems, and 20 years of production software experience. We audit you the way agencies will review you, and we tell you exactly what to fix.
The Encore Federal AI Readiness Audit (EFAIRA) produces a color-coded scorecard across eight domains, identifies gaps with a baseline of what good looks like, and delivers a signed hash-verifiable Encore Readiness Receipt that contractors can cite in their technical proposal volume. All intake submissions are protected under a mutual non-disclosure agreement.
A defensible third-party signal that did not exist for federal AI procurement.
Federal agencies evaluate more AI software than ever and have fewer trusted technical authorities to validate what is being proposed. Vendor pitches exceed the procurement team's ability to independently evaluate. Compliance frameworks cover security but not AI-specific risk. Existing third-party assessors are either compliance-checklist firms with no AI engineering capability or large consultancies that quote at price points incompatible with most pursuits.
The EFAIRA fills the gap between vendor pitch and procurement decision with a defensible 30-point assessment a contractor can run in weeks at a price point compatible with their pursuit economics.
- Adaptive Compound Intelligence (ACI), the patent-pending federal AI intelligence substrate that anchors Encore’s engineering practice.
- Oxford University AI Program Top 1 percent of cohort. Founding ACI work reviewed by faculty as a fundamentally new category of intelligence architecture.
- SDVOSB, VOSB, SDB, MBE verified. Veteran-founded since 2010 with a sixteen-year continuous federal operating record.
- Active federal AI patent portfolio covering contract writing, procurement decision support, and the underlying intelligence substrate.
The federal AI readiness assessor that builds federal AI.
Most AI readiness audit work in this space comes from consultancies that write reports about systems they did not build. The Encore methodology is applied by the same engineering practice that ships federal AI platforms. ECWS, AcuSightPro, EADIE, and the ACI substrate are all active platform pursuits in Encore's own portfolio.
Federal contract writing platform. Production engineering practice applied to a real federal procurement workflow.
Federal acquisition intelligence platform. Real production system built and operated by the same engineering practice that built the EFAIRA methodology.
Federal procurement decision-support engine, Phase 1 live. Encore Acquisition Intelligence Engine.
The patent-pending federal AI intelligence substrate. Reviewed by Oxford program faculty as a fundamentally new category of intelligence architecture.
Encore Services LLC builds federal AI. The same engineering practice scores it. The methodology you are reading is the same discipline Encore applies to its own platforms before they ship.
Thirty points across eight evaluation domains.
Each point is scored zero to one hundred percent with a color-coded readiness indicator. Red below forty percent. Yellow between forty and eighty percent. Green at eighty percent and above. Every score is supported by documented evidence and a one-sentence finding.
Mission Fit and Outcomes
How sharply the proposed system maps to the agency's stated mission objectives, whether claimed outcomes can be traced to measurable signals, whether the proposal pitches the evaluator with the right hook in the right place, and whether the system still makes sense three to five years out.
Codebase and Architecture Readiness
Whether the underlying engineering can survive scrutiny from a federal CIO technical reviewer. Production-grade vs. proof-of-concept dressed up as product. Defensible vs. fragile.
AI Specifics
The deepest evaluation domain. Model lineage, grounding, drift, fallback, confidence scoring, self-improvement, and self-healing. The seven AI-specific points that close the gap between proposal claims and operational reality. GAO-26-107859 identified these exact concerns as agencies' top AI acquisition risks.
Security and Compliance
Boundary controls, framework alignment, host environment posture, and the audit trail that lets oversight reconstruct every AI decision and human approval. Federal-grade or not, scored against NIST, FedRAMP, CMMC, and federal data residency requirements.
Proposal and Procurement Posture
Narrative coherence across the technical volume and past performance that actually matches the requirement. The two procurement-side gaps that contractors most often miss in technical proposals.
Sustainment and Lifecycle
GAO-26-107859 (April 2026) identified federal AI sustainment as a leading acquisition concern. This domain scores whether the proposed system can survive the full contract period under the contractor's stated support model. Three points evaluated independently of the technical evaluation.
Federal AI Governance Alignment
Whether the proposed system supports the agency's obligations under OMB M-25-22, OMB M-24-10, and Executive Order 14110. Federal agencies are required to implement minimum risk management practices for high-impact AI within 365 days of acquisition. Systems that do not support that obligation create downstream compliance risk for the agency.
Public-Trust and Mission Ethics
The final domain. Whether AI-influenced decisions can be explained to the public and contested by a citizen. Public trust is the ultimate constraint on federal AI deployment. A system that cannot answer 'why did the AI say that' to a citizen will be defunded politically faster than it fails technically.
Each domain has its own dedicated page with the full point breakdown, evidence requirements, and scoring rubric. Tap any domain above.
The methodology cites the federal guidance agencies are required to evaluate against.
Every domain in the EFAIRA maps to a current federal AI procurement framework or recent oversight finding. The methodology is built to score the exact concerns federal evaluators have been directed to ask about.
Artificial Intelligence Acquisitions
GAO identified vendor training data quality and model performance degradation as top federal AI acquisition risks. EFAIRA scores both concerns directly in Domain III (AI Specifics) and Domain VI (Sustainment and Lifecycle).
Procuring AI Systems and Services
OMB guidance to federal agencies on procuring AI responsibly and cost-effectively. EFAIRA scores compliance support across Domain IV (Security and Compliance) and Domain VII (Federal AI Governance Alignment).
Advancing Governance, Innovation, and Risk Management
OMB framework requiring AI governance structures, system inventories, Chief AI Officer designations, and minimum risk management practices for high-impact AI. EFAIRA scores agency obligation support in Domain VII.
AI Risk Management Framework + Trustworthy AI in Critical Infrastructure Profile
NIST guidance on AI risk practices, including the April 2026 Trustworthy AI in Critical Infrastructure profile. EFAIRA Domain IV scores alignment to NIST 800-53 controls and the AI RMF where applicable.
Federal Security Baselines
Authorization frameworks for federal cloud, information systems, and defense industrial base. EFAIRA scores authorization-readiness, data residency, and tenancy isolation across Domain IV.
Federal Acquisition Regulation and Defense Supplement
Procurement integrity, past performance evaluation criteria, and proposal requirements. EFAIRA scores proposal narrative coherence and past performance match in Domain V (Proposal and Procurement Posture).
Six deliverables. Federal-grade voice. Defensible by design.
Executive Summary
One page. Overall readiness percentage. Top three strengths and top three gaps. Briefable in five minutes to a CEO, a CIO, or a contracting officer.
30-Point Scorecard
Color-coded grid. Percentage per point. One-sentence finding per point. The full scorecard delivered as both a visual artifact and a structured data export.
Domain Briefings
Five briefings, one per domain. What was scored, why, and what evidence was reviewed. Each briefing is signed by the Encore engineering team that produced it.
Gap Baseline Memo
For every red or yellow point: what is missing, what good looks like, suggested fix approach calibrated to your visible technology stack, and approximate effort to close. Suggestions only. Liability disclaimed.
Encore Readiness Receipt
Issued only when overall score is 80 percent or higher. Signed, dated, hash-verifiable. Citation language included for the technical volume of your proposal.
Follow-Up Engagement Offer
Delivered seven days after the report at the contractor's option. Two engagement paths offered: targeted gap hardening under defined Statement of Work, or ongoing pursuit partnership through proposal submission.
Two paths. Choose yours.
Encore engagement structures differ for federal contractors and for federal agencies. Pricing on a separate contractor-pricing page reflects contractor and subcontractor engagements only. Federal agencies engage through separate acquisition channels.
Contractors and Subcontractors
For prime contractors, federal integrators, and subcontractors pursuing AI work on a federal task. Engagement tiers, comparison data, and launch programs are on a separate page.
- Engagement tiers from triage to enterprise
- Side-by-side comparison vs Big-4, GovTech, FedRAMP paths
- Pilot Cohort, outcome-based, and money-back launch programs
Federal Agencies and Government Buyers
For contracting officers, program offices, and agency leadership. Engagement structures and pricing align to your acquisition vehicle, schedule, and mission scope. Encore engages directly with COs and program offices to scope the right deliverables for your environment.
- Scoping aligned to acquisition vehicle and schedule
- Mission scope and security posture taken into account
- Direct engagement with Encore leadership
Emails Dr. Jeff Woodson directly
Mutual NDA at intake. IP carve-outs. Conflict-of-interest screen.
Every submission to the EFAIRA process is protected under a mutual non-disclosure agreement, signed at the intake portal before any artifact is reviewed. The NDA explicitly bars Encore from developing competing offerings using submitted intellectual property and gives the contractor full retention of all IP submitted for assessment.
Encore operates a hard conflict-of-interest screen at intake. Encore does not assess contractors pursuing awards Encore is also pursuing under the same solicitation. Where a conflict is identified, the engagement is declined before any artifact is reviewed.
- Encore identifies gaps. Encore suggests fix approaches based on the contractor's visible technology stack. Encore does not implement fixes during the assessment phase.
- Hardening engagements that remediate identified gaps are scoped separately under a defined Statement of Work, executed after the audit is delivered.
- Partnership conversations are scheduled no sooner than seven days after report delivery, never during the assessment phase.
- Every Readiness Receipt carries a point-in-time disclaimer and scope limitation. Receipts reflect submitted artifacts at assessment and do not warrant future performance.
Pursuing a federal award? Run the audit first.
Initial scoping conversations are confidential. Tell us about the pursuit, the agency, and the proposed system. Encore returns a tier recommendation and a fixed engagement quote within five business days.