Data Room AI Launches RFP Section Generator Agent
- Corey Solivan
- Nov 2
- 4 min read
Updated: Nov 3
Data Room AI Launches RFP Section Generator Agent — “From Outline to Narrative, One Subsection at a Time.”
Naples, FL – October 31, 2025 — Data Room AI (DRAI) today announced the release of its RFP Section Generator Agent, the latest addition to its GovCon Proposal Intelligence Suite — a guided AI system designed to help proposal teams move from outline to draft-ready content through a human-in-the-loop, subsection-by-subsection writing process.
The RFP Section Generator delivers a new level of drafting discipline for GovCon professionals — combining structure, compliance, and strategy in one interactive workflow. It ensures every paragraph aligns with Section L and M compliance requirements, evaluation criteria, and company Win Themes and Differentiators — before any text is finalized.
“The RFP Section Generator is like having an expert proposal writer who never skips compliance, never loses the thread, and always waits for your confirmation to proceed,” said Corey Solivan, Founder & CEO of Data Room AI. “It helps proposal teams maintain precision, pace, and control — especially when the clock is ticking.”
Mission
To transform the hardest part of proposal writing — turning plans into paragraphs — into a guided, evidence-backed drafting experience that ensures every section aligns with strategy, compliance, and customer priorities.
It’s not about speed alone. It’s about accuracy at mission required speed.
⚙️ What It Does
The RFP Section Generator Agent simulates draft proposal content one subsection at a time — ensuring alignment, transparency, and human oversight throughout. It creates structured, traceable drafts that connect strategy to evaluation logic — not guesswork.
Core Capabilities:
✅ Validates all prerequisites: Section L, Section M, Company Strategy, Volume Outline, and Writing Plan.
🧩 Works subsection-by-subsection, generating narrative simulations under user control.
💡 Infuses Hot Buttons, Win Themes, Differentiators, and Proof Points into every draft.
🧾 Splits each output into Compliance Alignment, Draft Narrative, Proof Points, and Draft Notes.
🕹️ Requires Accept / Edit / Reject confirmation after every draft — ensuring human sign-off.
📘 Compiles accepted drafts into a unified, review-ready proposal volume.
It’s the proposal writing co-pilot that doesn’t take over — it collaborates.
🧩 How It Works
1) Input Validation
Before drafting, the agent checks for all required context:
If anything is missing, it halts:
⚠️ “Missing required input: Company Differentiators. Please upload or mark as [Not Applicable] to continue.”
2) Subsection Selection
The user decides where to begin: “Which subsection do you want to draft first?”
The agent previews requirements, evaluation factors, and strategy inputs before writing.
Example: Selected Subsection: 2.1.3 – Technical Approach: Cloud Migration Linked Evaluation Factor: M.1 – Technical Capability (40%) Strategy Inputs: “Mission Velocity,” “Automation as Assurance,” “Past Performance: DoD CloudOps Migration”
3) Draft Simulation
Each subsection produces a Draft Simulation, complete with structure and sourcing:
Subsection: 2.1.3 Technical Approach – Cloud Migration
Compliance Alignment:
Instruction Reference: Section L.3.1(a)
Evaluation Factor: M.1 Technical Capability
Criteria: Demonstrate proven cloud migration methods and operational continuity.
Draft Narrative:
DRAI Commercial applies its Mission Velocity framework to accelerate agency cloud adoption while preserving mission continuity. Our methodology blends DevSecOps automation, zero-trust architecture, and continuous authorization pipelines proven during the DoD CloudOps Migration Initiative. The approach ensures scalable performance, reduced deployment risk, and measurable uptime exceeding 99.95%.
Proof Points:
DoD CloudOps Migration (FY24) — 100+ systems transitioned on schedule.
DHS Cloud Assurance Program — ATO acceleration achieved in 6 months.
Draft Notes:
[Insert graphic: Migration workflow diagram]
[Action: Confirm integration language for FedRAMP Moderate boundary.]
4) Review & Confirmation Loop
Every subsection ends with a user checkpoint: “✅ Accept, ✏️ Edit, or ❌ Reject this draft simulation?”
Accept: Locks subsection into compiled draft.
Edit: Adjusts tone or emphasis before regenerating.
Reject: Defers section while retaining context for later completion.
Only after user approval does the system move forward — ensuring total editorial control.
5) Compiled Draft Output
When all subsections are complete, the agent compiles a unified Draft Volume for internal review:
🧠 Key Benefits
🧭 Why It Matters
The RFP Section Generator bridges the critical final mile of proposal development: turning structure into story.
It gives teams what most AI tools miss — governed creativity.✅ Strategy in every sentence.✅ Compliance in every claim.✅ Proof behind every paragraph.
“Think of it as AI-assisted proposal drafting that waits for your approval — not the other way around.”
🧩 About Data Room AI
Data Room AI (DRAI) creates intelligent GovCon automation tools that simplify and strengthen the federal contracting lifecycle — from opportunity intake to submission.The RFP Section Generator builds upon DRAI’s flagship suite — Opp Shredder, Volume Response Planner, and RFI Generator — forming the execution layer of the GovCon Proposal Intelligence Stack.
From Data Chaos to Decision Clarity.
📨 Media Contact
Corey Solivan
Founder & CEO | Data Room AI (DRAI)
TL;DR
The RFP Section Generator Agent takes proposal teams from outline to narrative, one subsection at a time — blending strategy, compliance, and proof into human-reviewed draft simulations. It’s proposal drafting with discipline — and AI that proceeds upon your confirmed review.
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