Controlled Pilot Evaluation

GrantVault AI

AI-assisted grant compliance, evidence review, reporting, and audit readiness on AWS.

GrantVault AI helps grant-funded organizations organize evidence, review extracted document data, generate report drafts, and prepare audit-ready packages using secure, AWS-native services.

aws
Built on AWS.
Secured by design.
AI-assisted.
Human-reviewed.

Community Resilience Grant

Active
Documents Uploaded128This grant
Fields Extracted342This grant
Fields Approved28784% of extracted
Reports Generated3Drafts
Workflow Progress
1
Grant
Workspace
2
Evidence
Upload
3
Textract
Extraction
4
Human
Review
5
Report
Draft
6
Audit
Package
Recent Activity
Award letter uploaded2h ago
Fields reviewed5h ago
Report draft generated1d ago
AI Draft Status
54%
Q2 Performance Report
In progress

Challenges we help solve

Grant reporting is complex. We bring clarity and control.

From scattered documents to manual reporting and audit stress, GrantVault AI helps streamline the grant compliance lifecycle.

Scattered Evidence

Centralize award letters, supporting documents, reporting artifacts, and review history around each grant.

Manual Reporting

Reduce repetitive work and manual compilation with AI-assisted drafting from human-approved information.

Audit Readiness Gaps

Prepare cleaner audit packages that connect grant details, evidence, and review decisions.

How it works

A human-reviewed path from documents to audit-ready.

🏛
01

Grant Workspace

Create the workspace and capture grant context.

02

Evidence Upload

Add award letters, budgets, reports, and support files.

📄
03

Textract Extraction

Extract text and candidate fields from documents.

👤
04

Human Review

Review and approve extracted fields before use.

🧠
05

Bedrock Draft

Generate report drafts from approved information.

06

Audit Export

Package grant, evidence, review, and report artifacts.

AI-assisted. Human-reviewed. Not a replacement.

GrantVault AI is intentionally designed around human review. AI can assist with extraction and drafting, but users review and approve outputs before they are used in reports, audit preparation, or compliance workflows.

Human-approved fields before use
Manual AI triggers at key points
Cost-aware pilot usage
Audit package preparation with review trail