Overview

How the five phases fit together
● PROTOTYPE — mock data

An AI grants office that gets smarter every cycle

From discovery to drafting to reporting, every grant the Tribe pursues feeds a knowledge graph and a self-learning model — so each application is faster, better-targeted, and informed by what's worked before. Click any phase below, or use the sidebar.

1

Grant Search & Discovery

Daily automated scan of Grants.gov, BIA, IHS, EPA, HHS, Grants.ca.gov & private foundations. AI reads each NOFO/PDF and writes a plain-language summary with eligibility, amount, deadline, and a tribal set-aside flag.

2

Grant Lifecycle Web App

Secure pipeline dashboard (Discovered → Submitted → Awarded → Reporting) with a document vault, deadline reminders, role-based access, and auto-submit to Grants.gov with Tribal Chairman e-signature.

3

Training AI on Previous Grants

Every historical application, award letter, and report is ingested as training data, so the model learns the Tribe's voice, programs, and what funders responded to.

42 past applications ingested runs behind the scenes
4

AI Grant Proposals

AI drafts a complete application tailored to each funder's criteria using the Phase 3 training. Staff review in a track-changes interface. No grant is submitted without board approval.

5

Knowledge Graph & Self-Learning

A knowledge graph links tribal programs → outcomes → funders → grants. Every awarded or declined application feeds back into the model, making recommendations and drafts smarter over time.

66 grant opportunities the Tribe is eligible for

Federal, California state, and private/foundation programs Dry Creek Rancheria qualifies for as a federally recognized tribe but hasn't yet pursued — excluding grants already in the 2026 schedule. Group or filter by category, funding theme, agency, or grant size; every deal links to the funder so staff can verify and drill down.

3 deadlines this weekRole-based access

Drag a card to override its stage, or click any card to open its approval workflow, document vault, and activity log.

AI Draft · IHS Behavioral Health Integration Grant

Generated from 42 past applications · tailored to funder criteria
Draft v3 · AI-assisted
AI insertion AI suggested cut Reviewer note

Project Narrative — Behavioral Health Integration

Applicant: Three Rivers Tribal Nation · CFDA 93.933 · Requested: $750,000 over 3 years

Statement of Need

The Three Rivers Tribal Nation serves 4,820 enrolled members across a 1.2-million-acre service area, where access to behavioral health care remains critically limited. Per the Tribe's 2025 Community Health Assessment, 38% of households reported an untreated mental health or substance-use need We really need this funding because mental health is important.

Project Approach

This project will integrate behavioral health screening into all three tribal primary-care clinics, using the SAMHSA-endorsed SBIRT model the funder explicitly prioritizes in Section IV of the NOFO. A culturally grounded peer-support program will be co-designed with tribal elders.

Reviewer note (Rita): Confirm the 38% figure against the final CHA before submission.

Goals & Measurable Outcomes

Goal 1: Screen 2,400 community members annually. Goal 2: Reduce untreated need by 25% over the grant period. Help as many people as we can. These targets mirror the outcome framework that won the Tribe's 2023 SAMHSA award.

Organizational Capacity

The Tribe has successfully administered $6.4M in federal health grants over the past five years with zero audit findings, demonstrating the fiscal and programmatic capacity to deliver.

Match to funder criteria
Eligibility✓ Met
Required sections8 / 8
Page limit14 / 15
Keywords matchedHigh
Approval gate
Staff review✓ Done
Board approvalPending
Chairman e-signatureLocked
Tribal Chairman e-signature
Awaiting board approval
Drag nodes · hover to trace connections · dark ring = real federal program/funder
Node types
Tribal program (illustrative)
Outcome (illustrative)
Funder (real)
Grant program (real)
Selected node
Hover or tap any node to see details.
Self-learning loop

Each closed application updates the graph and retrains the recommender.

Awarded ↑ signal+18 edges
Declined ↓ signal−5 edges
AI recommendation
The Youth Wellness program (dashed purple edge) is a strong match for EPA's environmental-justice funding — a grant the Tribe hasn't pursued yet. Est. fit: 87%.
Grants AssistantPrototype · example answers, no live data