AI- Assisted Grants Adjudication
Modernizing Federal and State Grants Review Through Responsible AI
Automate compliance screening. Score applicant risk in real time. Produce fully auditable decisions. Preserve human judgment on every award.
The Problem
Grant agencies face rising application volumes, more complex Funding Opportunity Document (NOFO/ FOA) requirements, and growing oversight expectations while staffing remains flat. Legacy manual review creates inconsistent decisions, extended cycle times, and audit risk. The status quo is not scalable.
The Solution
The AI-Assisted Grants Adjudication Accelerator applies a two-phase AI pipeline to automate the most time-intensive, error-prone steps in the pre-award process.
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1 Application Intake SF-424, Narratives,
Budgets |
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2 FOA Rules Engine LLM validates 20+
eligibility rules |
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3 Eligibility Routing PASS / FAIL / REVIEW |
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4 Risk
Assessment SAM,
FAPIIS, IRS 990, OFAC |
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5 Decision
Support High
/ Med / Low + Audit Trail |
Business Value
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Operational Speed § Review cycles: days to hours § Reviewers focus on substance § Auto-routing of ineligibles |
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Program Integrity § 100% of applications risk-scored § Fraud and waste detected early § Consistent eligibility criteria |
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Audit Readiness § Full decision rationale logged § Immutable timestamped trail § IG-ready
from day one |
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Strategic Enablement § No rip-and-replace required § FedRAMP-authorized platform § Scales across all programs |
>50%
Reduction in manual screening time
100%
Applications risk scored before review
>85%
AI-to-staff recommendation agreement
>80%
Reviewer satisfaction target
How It Works
Phase 1 — LLM Compliance Engine: Ingests the FOA and validates each application against 20+ eligibility and compliance rules. Noncompliant applications are automatically routed out.
Phase 2 — RAG Risk Intelligence: Queries public data sources to build an entity risk profile and composite risk score for every applicant before reviewer assignment.
Reviewer Dashboard: Surfaces Phase 1 compliance verdicts, Phase 2 risk flags, and source citations. Every action is timestamped in an immutable FedRAMP audit log.
Governance & Data Sources
Human reviewers retain final authority on all award decisions:
- NIST AI Risk Management Framework (AI RMF 1.0)
- OMB Memorandum M-24-10 — AI Governance
- FedRAMP-authorized cloud infrastructure
- Zero Trust Architecture (NIST SP 800-207)
- SAM.gov, FAPIIS, GSA Exclusions
- OFAC Sanctions, IRS 990 Financials
- Federal Audit Clearinghouse findings
- Adverse media via commercial providers
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Weeks 1–6 Discovery Stakeholder interviews, NOFO/ FOA
inventory, success metric alignment |
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Weeks 7–12 Design Future-state workflow, NOFO/ FOA rules
codification, governance model |
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Weeks 13–20 POC Build LLM rules engine, RAG pipeline,
reviewer dashboard on FedRAMP platform |
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Weeks 21–32 Pilot Live pilot, accuracy monitoring,
adoption metrics, go/no-go gate |
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Months 9–12+ Scale Expand programs, refine
models, enterprise rollout |
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Federal Mission DNA |
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Responsible AI Practice |
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Deep expertise
in federal grants management, compliance, and technology modernization. |
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Human centered
design, explainability, and governance built in from the start. |
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FedRAMP Ready |
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Zero Rip-and-Replace |
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All tooling operates on FedRAMP-authorized infrastructure with ATO pathway support. |
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Framework layers onto your existing grants systems. No platform displacement required. |
Ready to modernize your grants operation? Contact NuAxis Innovations to schedule a discovery session.
solutions@nuaxis.com | (703) 481-7400 | nuaxis.com
