Data Room AI Unveils "Color Team Reviewer" Agent
- Corey Solivan
- 7 days ago
- 4 min read
Updated: 6 days ago
Internal Pink/Red/Gold reviews that mirror Section L & M — and tell teams exactly how to fix gaps-accelerating your review + automating section and volume recoveries.
Naples, FL – October 31, 2025 — Data Room AI (DRAI) today announced the launch of the Color Team Reviewer Agent, an internal AI review that simulates government scoring while coaching proposal teams toward higher factor and subfactor performance.
The agent ingests Section L (Instructions) and Section M (Evaluation Criteria), constructs a factor/subfactor rubric with weights, and evaluates draft proposal sections one at a time — returning a gov-style score, mapped strengths, and precise “HOW TO IMPROVE” edits tied to company strategy (CAMs, Win Themes, Differentiators, Solutions, and Technical Inputs).
“Color reviews shouldn’t be scavenger hunts nor competitive challenges for creating the most reviewer comments,” said Corey Solivan, Founder & CEO of Data Room AI. “Teams need clear scoring and exact edits that raise their evaluation grade. Color Team Reviewer delivers both — aligned to L & M and to your Win Themes.”
🎯 Mission
To alleviate executive leadership color team review bottlenecks + give proposal teams a faster, smarter, and more transparent way to perform internal Pink, Red, and Gold Team reviews — combining gov-style scoring with AI coaching precision. The Color Team Reviewer transforms “subjective feedback loops” into structured, evidence-based improvement cycles — so every rewrite directly raises the score.
🧩 Key Features & Benefits
1) True-to-Government Rubrics
Parses Sections L & M to identify phases, factors, subfactors, and weights.
Proposes rational weights when they’re missing or ambiguous.
Creates a confirmed, traceable evaluation matrix for reviewers and leadership.
2) Section-by-Section Precision
Reviews one section/subsection at a time.
Preserves traceability with factor/subfactor alignment and scoring rationale.
3) Actionable Coaching, Not Vague Notes
Every identified gap includes three layers of improvement guidance:
Missing Input: CAM / Win Theme / Differentiator / Solution / Technical Input to add.
Exact Edit or Rewrite: Ready-to-paste language tailored to compliance and tone.
Thematic Method: Recommended approach (benefits-led, proof-led, risk-mitigation-led).
4) Executive-Readable Summaries
TL;DR bullets with traffic-light colors (Green / Yellow / Red).
Factor-by-factor score breakdowns.
Rapid insight for executive debriefs or leadership briefings.
5) Color Stage Tuning
Adjusts depth and tone automatically for Pink, Red, Gold, Green, or Blue Team reviews:
Pink: Alignment & storyboarding feedback.
Red: Compliance-heavy “fix-first” guidance.
Gold: Executive polish & proof density.
Green/Blue: Optional pricing or production validation.
6) Strategy Alignment by Design
Strengths explicitly cite which Hot Buttons, Win Themes, Differentiators, or Solutions were successfully applied.
7) Internal-Only Safety Rails
Defaults to coaching and scoring, never submission-ready drafting.
Keeps reviews inside the workspace, with full compliance traceability.
🧠 How It Works
1️⃣ Ingest Section L & M → Extracts factors, subfactors, and evaluation rules.
2️⃣ Load Draft Proposal Sections → Reviews one section at a time.
3️⃣ Evaluate & Score → Generates weighted scores + rationale per factor/subfactor.
4️⃣ Coach & Correct → Issues specific edit instructions with recommended Evaluation Factors / Hot Buttons / Win Themes.
5️⃣ Summarize → Outputs traffic-light TL;DR + executive scoring dashboard.
📊 Use Cases & Early Results
“The rubric confirmation and paste-ready rewrites cut days off our Color Team recovery loops without sacrificing rigor,”— Systems Engineering SB, DRAI Beta Tester
📘 Example Output
Section: Volume II – Technical Approach
Factor: M.1 – Technical Capability (40%)
Subfactor: 1.2 – Innovation & Risk Mitigation
Score: 3.5 / 5.0 (Yellow → Improvement Recommended)
Strengths:
Integrates automation and zero-trust concepts.
References proof points with CloudOps metrics.
Gaps & Remedies:
1️⃣ Missing Input: Add CAM “Mission Velocity” reference.
2️⃣ Exact Edit: “Our Mission Velocity framework accelerates deployment cycles while ensuring operational resilience.”
3️⃣ Thematic Method: Benefits-led narrative to show quantifiable outcomes.
Revised Score (Projected): 4.5 / 5.0
🧩 Deliverables
🧩 About Data Room AI
Data Room AI (DRAI) transforms government contracting by turning AI + strategy into secure, auditable automation across the capture and proposal lifecycle. From opportunity intake to color team review, DRAI equips GovCon and enterprise teams with AI systems that think like evaluators and write like experts.
From Data Chaos to Decision Clarity.
📨 Media Contact
Corey Solivan
Founder & CEO | Data Room AI (DRAI)
TL;DR
The Color Team Reviewer Agent mirrors government scoring logic — parsing L & M, building rubrics, and scoring each section while providing exact “HOW TO IMPROVE” edits tied to Win Themes and Hot Buttons. It shortens Pink/Red/Gold review cycles and raises factor scores with audit-ready transparency. Gov-style scoring. Real coaching. Measurable improvement.
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