Data Room AI Launches "Opp Shredder Agent"
- Corey Solivan
- Oct 27
- 4 min read
Updated: Nov 3
Data Room AI Launches “Opp Shredder Agent” — The Fastest Way to Kick Off a Federal Proposal
Naples, FL – October 27, 2025 — Data Room AI (DRAI) today announced the release of its Opp Shredder Agent, a purpose-built AI RFP intake and outline accelerator for government contractors.The agent ingests complex solicitation packages, parses Sections L and M, aligns them with company strategy inputs, and generates a compliance-aware Proposal Volume Outline—all before the kickoff meeting even begins.
“If you’ve ever spent two days debating what Section L × M actually wants, Opp Shredder is your new best friend,” said Corey Solivan, Founder & CEO of Data Room AI.
Mission
To eliminate the dead time between “RFP released” and “proposal kickoff.”The Opp Shredder’s mission is simple: shred complexity, surface structure, and start with clarity.
“From RFP chaos to compliance clarity — in minutes.”
What It Is
The Opp Shredder Agent is an AI-powered RFP digestion engine designed for proposal managers, coordinators, and capture teams who need to quickly make sense of complex solicitations.
It functions as a compliance officer, strategist, and proposal coordinator—all in one.
Function | Description |
Validate | Checks for presence of RFP Letter, Section C (SOW/PWS), Section L (Instructions), Section M (Evaluation Criteria), and attachments. |
Summarize | Translates requirements and evaluation factors into plain English. |
Ingest | Absorbs Win Themes, CAMs, Differentiators, and corporate strategy context. |
Generate | Builds a Proposal Volume Outline mapped to compliance and scoring logic. |
How It Works
1) RFP Intake & Validation
Upload the RFP Letter, Sections C, L, M, and attachments.
The agent confirms what’s received, flags missing items, and produces an intake checklist for traceability.
2) Instruction & Evaluation Review
Parses Section L: Extracts volume structure, format rules, and submission details.
Analyzes Section M: Builds a plain-English scoring logic breakdown that shows what matters most — and why.
Outputs both as briefing-ready summaries for proposal or executive review.
3) Strategy Inputs Ingestion
Accepts CAMs, Win Themes, and Differentiators.
Creates a Strategy Reference Table linking each input to a compliance or evaluation anchor.
Ensures every narrative element ties back to the evaluator’s scoring criteria.
3) Proposal Volume Outline Generation
Produces a compliance-aligned Proposal Volume Outline with direct mapping between requirements, strategy, and evaluation factors.
Each section is annotated with:
Instruction Reference (from Section L)
Evaluation Factor (from Section M)
Recommended Strategy Inputs (Win Themes, CAMs, Differentiators)
Ready outputs:
✅ Executive Briefing Decks
✅ Kickoff Meeting Materials
✅ Writer Assignment Sheets
Why It Matters
User | Benefit |
Proposal Managers | Compress days of triage into minutes—structured, compliant outlines instantly. |
Executives | Get immediate clarity on risk, compliance, and strategy alignment. |
Capture Teams | See exactly how Win Themes map to the evaluator’s rubric. |
Writers | Start with structure, not confusion—no missed instructions, no redundant drafts. |
Built for the Realities of GovCon
Proposal teams routinely lose 2–3 days dissecting RFPs and debating compliance details. Or worse, invent volume reorganizations mid-color team review cycles. The Opp Shredder compresses that work into 15 minutes — producing structured, consistent outputs that align strategy and compliance in one step.
“It’s like having a compliance analyst and strategist reading over your shoulder — without the 11-hour coffee binge,” said a Senior Proposal Manager in the DRAI Beta Program.
Core Outputs:
Deliverable | Description | Audience |
Intake Checklist | Confirms received/missing docs for traceability | Proposal Managers / Coordinators |
Section L Summary | Volume, format, and submission rules | Executives / Writers |
Section M Summary | Evaluation factor breakdown and scoring logic | Capture / Strategy Teams |
Strategy Inputs Table | CAMs, Win Themes, and Differentiators mapping | Proposal Team |
Proposal Volume Outline | Compliance-mapped section structure | All Users |
Executive TL;DR | Top-line summary for leadership briefings | Executives |
Example Output Snippet:
Volume 1 – Technical
Section | Instruction Ref | Evaluation Factor | Strategy Inputs |
1.1 | L.3(a) | Technical Approach | CAM-01, WT-02 |
1.2 | L.4(b) | Past Performance | WT-03, Diff-01 |
1.3 | L.5 | Management Plan | CAM-02, WT-05 |
This structure gives proposal teams an immediate blueprint that connects evaluator priorities to corporate strengths — without guesswork or drift.
Technical Specs
Language Model: GPT for long-context compliance + evaluation reasoning
Temperature: fact-based precision-tuning
Output Formats: DOCX copy optimized
Availability
The Opp Shredder Agent is now available through the DRAI Secure Workspace and Agentic-AI Marketplace, hosted in AWS GovCloud. It can be deployed as a standalone agent or integrated into Tier 1 (Pipeline Edge), Tier 2 (Growth Accelerator), and Tier 3 (Hyperscaler) capture intelligence suites.
👉 Learn more or request access: https://drai-commercial.com/platform
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 evaluation analysis, DRAI delivers the technology backbone for high-stakes decision-making.
From Data Chaos to Decision Clarity.
Media Contact
Corey Solivan
Founder & CEO
Data Room AI (DRAI)
TL;DR
The Opp Shredder Agent turns RFP chaos into compliance clarity in minutes.It reads, validates, aligns, and generates compliance-ready proposal outlines — all before kickoff. No confusion. No drift. Just structure, speed, and strategy.
Comments