Data Room AI Launches “RFI Generator Agent”
- Corey Solivan
- Oct 27
- 4 min read
Updated: Nov 3
Data Room AI Launches “RFI Generator Agent” — AI That Writes With Proof, Not Promises
Naples, FL — October 27, 2025 – Data Room AI (DRAI) today announced the launch of the RFI Generator Agent, a guided AI system that helps government contractors transform intelligence into mission-aligned, compliant, and differentiator-rich RFI responses.
The RFI Generator bridges the gap between scattered corporate assets and submission-ready deliverables—empowering capture and proposal teams to respond with confidence, precision, and proof.
“Most RFI tools write first and think later,” said Corey Solivan, Founder & CEO of Data Room AI.“The RFI Generator does the opposite. It listens, learns, aligns, and only then writes—anchored in truth, strategy, and mission context.”
Purpose: Mission-Aligned. Scope-Driven. Research-Supported. No Drift.
The RFI Generator Agent was built for capture, proposal, and strategy teams who need to produce compliant, compelling, and auditable RFI responses—fast, but without sacrificing accuracy or brand integrity.
It consolidates and integrates:
RFI documents, SOWs, and PWSs
Customer dossiers (missions, leadership, goals, priorities)
Corporate strategies (CAMs, win themes, differentiators)
Case studies, proof points, and past performance
NAICS codes and contract vehicle data
The result: a mapped, section-by-section RFI response, where every answer is linked to evidence, regulatory codes, and mission context.
The Mission
To redefine RFI response creation as a strategic, evidence-based process that reflects:
✅ Mission Alignment – Speaks the agency’s language and intent
✅ Evidence-Based Differentiation – Backed by real proof
✅ NAICS & Vehicle Readiness – Cross-validated through live checks
✅ Zero Drift – Every statement traceable, no filler or assumptions
How It Works:
1) Guided Intake & Comprehension
The RFI Generator begins by guiding users through structured uploads, including solicitation files, customer dossiers, strategy decks, case studies, and proof materials.
After each upload, it summarizes what it learned — allowing users to verify accuracy before it begins drafting.
Example: “From your uploaded DHS Dossier, I’ve identified three mission imperatives: cyber resilience, zero-trust readiness, and data interoperability. Shall I foreground these in the
Executive Summary?”
2) File Validation & Scope Mapping
The agent then lists received materials and highlights gaps with a simple checklist: ✅ Confirm / 📁 Upload / ❌ Not Applicable. It extracts:
Scope keywords (e.g., Cybersecurity Operations, Cloud Migration, Mission Support)
Technical context and NAICS patterns
Potential contract vehicle matches (GWACs, IDIQs, BPAs) via live validation
3) Precision Crosswalks
Each RFI section is mapped to corporate assets using a dynamic Requirements Crosswalk Table:
RFI Section | Win Themes / CAMs | Case Studies | NAICS / Vehicle | Differentiators |
Mission Understanding | “Cyber as a Shared Responsibility” | AFMC Cyber Pilot | 541512 / CIO-SP4 | Zero-trust deployment record |
Technical Capability | “Proven FedRAMP Journey” | DoD Cloud Migration | 541513 / GSA MAS | CloudOps framework (DRAI Edge) |
Past Performance | “Continuous Readiness” | FEMA AI Proof | 541519 / SEWP V | Data governance automation |
This table ensures every response is aligned with real-world data, not boilerplate language.
4) Response / Supporting Info Split
Each section is output in two formats: Submission Response (for RFI) and Supporting Info (for internal use).
Example:
RFI Response (Submission)
DRAI Commercial aligns directly with the agency’s cloud-first and zero-trust mandates through demonstrated success under the DoD CloudOps modernization initiative. Our solutions leverage FedRAMP-authorized frameworks to ensure compliance, scalability, and mission assurance.
Supporting Info (Internal)
Source: DoD CloudOps Case Study, 2024CAM: “Accelerate Mission Readiness through Secure Automation ”Vehicle: CIO-SP4, GSA MAS (541513)Differentiator: FEMA AI Pilot–validated orchestration logic
This dual-output structure enforces discipline and transparency in every submission.
5) Compliance, Proof, and Integrity
Every statement is backed by verifiable data — from case studies, public records, or customer sources.
No fabricated claims
No placeholders
No “TBD” entries
When data is missing, the agent flags: “Not publicly available as of October 2025 — recommend FOIA or agency inquiry.”
Tone and language remain consistent with DRAI’s hallmark: fact-backed, mission-aligned, and auditor-ready.
6) User-in-the-Loop Collaboration
Nothing is generated without user approval. At every phase:
The agent proposes the next step
The user reviews and edits or confirms to proceed
Only then does drafting proceed
“Think of it like an AI co-pilot that asks permission before touching the controls,” added Solivan.
7) Deliverables
Deliverable | Description |
📄 Submission-Ready Volume | Complete RFI response with cover letter & TOC |
📘 Supporting Info Appendix | Mappings, sources, NAICS, and vehicle validation |
📋 Compliance Checklist | Section-by-section verification summary |
Example Output Snapshot
Executive Summary Excerpt:
Our mission alignment with DHS is demonstrated through ongoing engagements under FEMA’s Predictive Response initiative and our proven ability to translate zero-trust principles into operational resilience.
Mapping Example:
RFI Question | Mission Link | CAM | Case Study | Vehicle Eligibility |
Describe your cybersecurity modernization experience. | DHS Zero Trust Strategy 2025 | CAM-01 “Assured Access” | FEMA AI Pilot | GSA MAS, CIO-SP4 |
Ideal Users
Role | Benefit |
Capture Managers | Create RFI responses mapped directly to mission context |
Proposal Coordinators | Maintain traceability across CAMs, NAICS, and cases |
Strategists & Advisors | Maintain full control over AI-driven analysis |
Executives | Review proof-backed drafts and compliance visibility |
Availability
The RFI Generator Agent is available now inside the DRAI Secure Workspace and Agentic-AI Marketplace. Access for capture, proposal, and GovCon teams is available at:
About Data Room AI
Data Room AI (DRAI) builds intelligent GovCon automation agents that combine compliance, reasoning, and strategy—turning proposal chaos into structured, auditable intelligence. From opportunity shredding to RFI generation and evaluation modeling, every DRAI agent is built to save time, increase win probability, and preserve institutional knowledge.
From Data Chaos to Decision Clarity.
Media Contact
Corey Solivan
Founder & CEO
Data Room AI (DRAI)
TL;DR
The RFI Generator Agent transforms scattered GovCon data—RFIs, SOWs, case studies, and strategies—into compliant, evidence-backed, and mission-aligned response packages. It doesn’t hallucinate; it maps, validates, and builds—with you in control every step of the way.
Upload. Align. Respond. Win.