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SDLC Playbook · The Accountability Engine for Software Teams
The Accountability Engine

Process discipline,
enforced by AI agents.

SDLC Playbook sits between your work tracker, your repo, and your CI/CD pipeline. It blocks releases that break process, captures audit evidence automatically, and gives leadership a single number, the Accountability Score, that finally answers “is our process actually being followed?”

Built for Federal · Mid-market · Distributed teams
Stack GitHub · Azure DevOps · Slack · 9 more
87/ 100
Accountability Score · ▲ 4 pts
Analysis
91
Design
83
Dev & Test
76
UAT
88
Deployment
94
BlockPR #2847 missing security scan
PassRelease v3.14 deployed · audit-ready
! Deploy blocked. 2 of 11 gates failed.
Built on the playbook used by federal nuclear contractors
Anglicotech DOE / SRNS NIST 800-218 SSDF CMMC L2 Azure AI Foundry
The Problem

Every software org has a process.
Almost none can prove it was followed.

Stories ship without acceptance criteria. Releases go out without rollback plans. Offshore partners deliver builds nobody reviewed. Leadership finds out weeks later, in a post-mortem.

Jira tracks the work. SonarQube grades the code. Vanta collects the evidence at audit time. Nobody enforces the SDLC in between.

That missing layer is the product.

The Solution

An accountability layer across your full SDLC.

Specialized AI agents verify, in real time, that every requirement, design, build, test, deploy, and post-release activity meets your defined SDLC standard.

01

Block bad releases

Hard gates on merges, sprints, and deploys. Configurable per gate. The Deploy button is greyed out until every required artifact exists. No more “we’ll do it after.”

02

Capture evidence automatically

Every signoff, test result, scan, and approval is collected into a tamper-evident vault. A 412-page audit package is one click and 90 seconds away.

03

Score offshore partners

Three vendors on one page, ranked by objective playbook adherence, with AI-generated QBR talking points. Walk into the meeting with hard data, not anecdotes.

04

Coach engineers in flow

When a PR is blocked, the Coach explains why in plain language and offers to draft the missing tests. Process becomes help, not friction.

05

Override with audit trail

Hard blocks bend without breaking. Emergency overrides require justification, approver, follow-up task, and audit tag. Process holds under pressure.

06

Govern AI-generated code

Provenance tracker, authorship classifier, and prompt evidence vault for the era when most code is written by Claude Code, Cursor, and Devin.

The Roster

Sixteen agents.
One mission.

Each agent owns a phase of the SDLC. Three ship at MVP. Six AI-era agents are P3 additions for the 2027 roadmap.

01 · MVP
Code Sentinel
Dev & Test
Hooks into every PR. Verifies coverage, code review, ticket linkage.
02 · MVP
Release Gatekeeper
Deploy & UAT
Blocks production deploys missing UAT signoff or rollback plan.
03 · MVP
Role Accountability
Cross-phase
RACI in real time. Powers the Accountability Score.
04
Test Evidence
Dev/Test, UAT
Auto-builds the audit-ready test evidence binder.
05
Offshore Partner
Cross-phase
Partner Scorecard for distributed teams. The wedge feature.
06
Playbook Coach
Cross-phase
“What do I owe to close this story?” Conversational guidance.
07
Requirements Auditor
Analysis
Flags vague stories. Drafts playbook-compliant rewrites.
08
Design Reviewer
Design
Cross-checks architecture against requirements. Multi-modal.
09
Production Watch
Maintenance
Traces incidents back to specific stories and PRs.
10
Executive Briefing
Cross-phase
Weekly leadership view. Phase health, partner scorecards, risk.
11 · AI-ERA
Provenance Tracker
Cross-phase
Captures which AI tool wrote which code, with prompts and model versions.
12 · AI-ERA
AI Code Reviewer
Dev & Test
Audits AI-generated code for hallucinations and license-tainted snippets.
13 · AI-ERA
Agent Behavior Monitor
Cross-phase
Watches autonomous coding agents the way Code Sentinel watches PRs.
14 · AI-ERA
Prompt Evidence Vault
Cross-phase
Stores prompts and outputs as audit artifacts for AI compliance regimes.
15 · AI-ERA
Authorship Classifier
Dev & Test
Detects human vs AI vs hybrid code. Enforces authorship rules.
16 · AI-ERA
License & IP Sentinel
Dev & Test
Scans AI-generated code for license-incompatible matches.
Built for the team

Eight users.
One coherent product.

A product is its personas. These are the people SDLC Playbook is designed for.

Sarah Chen
Engineering Director

“Monday morning I open the dashboard, see my Accountability Score, and know which squad needs a conversation. Before, I’d find out at the post-mortem.”

Pablo Moreno
Senior Engineer

“My PR was blocked. The Coach explained exactly why, drafted the missing tests, and got me merged. Process used to feel like friction. Now it feels like help.”

Lena Park
QA Manager

“The Deploy button is greyed out until everything is green. No amount of pressure changes that. It is the most relaxing button in our entire stack.”

David Reeves
Chief Compliance Officer

“Audit prep used to take six weeks. Now it takes ninety seconds. I generated 412 pages of signed evidence between two meetings.”

Ready to see it

The product is built.
The mockups are real.
The first design partners are next.

Federal contractors and mid-market dev shops with offshore engineering get free 90-day access in exchange for reference rights. Apply below.