Grants
Lifecycle Automation
End-to-end grants: application intake, review, award, and monitoring with policy-aware AI in the loop.
Legacy systems.
Broken processes.
Federal grants programs are run on a patchwork of point tools, spreadsheets, and SharePoint. NOFOs are drafted in Word. Applications come in through different portals. Reviewers fill out scoring sheets by hand. Monitoring is monthly emails.
One substrate. Six stages. Six agents.
Each stage has a named agent with a defined scope, a documented prompt, and an evaluator-readable audit log. Humans approve every state transition.
Policy-aware drafting of NOFOs from prior templates and program intent, with citations and version history.
Completeness review, eligibility checks, and routing. Applicants get clear gaps in minutes, not weeks.
Reviewers see structured briefs, comparable awards, and conflict-of-interest checks. They decide; AI prepares.
Award packages drafted against the template; obligations registered in the financial system of record.
Continuous risk scoring across performance, financial, and compliance signals. Escalations are explained, not just flagged.
Final reports, audit packages, and lessons-learned synthesized into the next NOFO. The cycle compounds.
What this looks like in production.
Numbers from our largest engagements to date, months of operating data.
End-to-end, before and after.
What the mission flow looks like once this solution is in production. AI accelerates the work; humans decide the outcomes.
Five layers. Built on the Engine.
A reference architecture every program inherits. Tenants override where they need to; defaults are evaluator-ready.
Bring us the mission blocker.
Leave with a 90-day path.
Capability briefings are working sessions, not pitches. Tell us where you're stuck; we'll show you the lane, the accelerators, and the proof.