AI SDLC Accountability and Documentation Software for Engineering Teams
AI authors. AI verifies.
AI documents.
SDLC Playbook is the AI-powered accountability and documentation engine for software teams. Three classes of agents: enforcement agents verify your team’s work, authoring agents draft what can be drafted — user stories, acceptance criteria, test plans — and documentation agents continuously produce release notes, runbooks, architecture diagrams, and audit-ready evidence packages.
Three motions across the full SDLC.
No competitor covers all three.
AI drafts what can be drafted.
User stories, acceptance criteria, test plans, UAT scripts. Drafted by AI, reviewed and accepted by humans. The Product Manager and QA Manager get a co-author. Apiiro and Vanta don’t do this. We do.
AI verifies the SDLC was followed.
Hard gates on every PR, sprint, and release. Other tools scan code or collect audit evidence. SDLC Playbook enforces process accountability across analysis, design, dev, test, deploy, and ops — and proves it.
AI generates the docs that don’t rot.
Release notes, rollback plans, runbooks, onboarding guides, architecture diagrams, audit packages. Generated continuously from real evidence. Always current. Operational, not just compliance.
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.
An accountability and documentation layer across your full SDLC.
Three classes of AI agents. Authoring agents draft. Enforcement agents verify. Documentation agents produce.
Draft user stories and acceptance criteria
Requirements Author drafts stories, AC, and story splits. Product Managers review side-by-side, edit inline, accept or regenerate per section. Drafts write to Jira or Azure DevOps only after explicit human approval.
Generate test plans and UAT scripts
QA Strategist drafts test plans from acceptance criteria. Test cases, UAT scripts, edge case coverage. QA Managers approve and the test plan goes into the test management system. From idea to test plan in minutes, not days.
Block bad releases with hard SDLC gates
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.”
Capture audit evidence automatically
Every signoff, test result, scan, approval, and AI authoring action is collected into a tamper-evident vault. A 412-page audit package is one click and 90 seconds away.
Generate documentation continuously
Architecture diagrams, runbooks, onboarding guides, audit-ready reports. Produced from your live evidence vault. The docs your team always meant to write, written automatically, kept current as the codebase evolves.
Auto-draft release notes
Sprint closes, release notes appear. Customer-facing changelog, internal release artifact, demo script, all auto-assembled from the work that actually shipped.
Score offshore partners objectively
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.
Override with a full audit trail
Hard blocks bend without breaking. Emergency overrides require justification, approver, follow-up task, and audit tag. Process holds under pressure.
Three classes.
Seven at MVP. Thirteen at v2.0.
Phased rollout from MVP through v2.0. MVP launches with seven agents across three classes. v1.2 adds four sprint-ceremony and compliance agents. v1.3 adds three discovery and design agents. v2.0 deepens existing agents with code-level capabilities.
v2.0 deepens existing agents with code-level capabilities: architectural drift detection, missing-test detection, API contract verification. Twenty distinct capabilities across thirteen agents at v2.0.
Six users.
One coherent product.
A product is its personas. These are the people SDLC Playbook is designed for.
“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.”
“Requirements Author drafts the story. I review side-by-side, edit, accept. The story lands in Jira with proper acceptance criteria. The thirty minutes I used to spend writing is now five minutes editing.”
“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.”
“QA Strategist drafts the test plan. I review and adjust. The Deploy button is greyed out until everything is green. It’s the most relaxing button in our entire stack.”
“Audit prep used to take six weeks. Now it takes ninety seconds. I generated 412 pages of signed evidence between two meetings.”
“Project Brain knows our stack, our components, our domain language. Agents stop sounding like outsiders. Compliance Scribe writes SSPs that read like our team wrote them.”
SDLC Playbook in six questions.
What does SDLC Playbook do?
SDLC Playbook is the AI-powered accountability and documentation engine for software teams. Three classes of agents work across the full SDLC: Authoring agents draft user stories, acceptance criteria, and test plans for human review. Enforcement agents verify your team’s SDLC was actually followed, every PR and every release. Documentation agents continuously generate release notes, runbooks, architecture diagrams, and audit-ready evidence packages.
How many agents ship at MVP?
Seven distinct agents at MVP across three classes. Enforcement: Code Sentinel, Release Gatekeeper, Role Accountability, Requirements Auditor. Authoring: Requirements Author, QA Strategist. Documentation: Release Composer, Compliance Scribe. v1.2 adds four more (Standup Synthesizer, Retrospective Coach, Sprint Planner, Compliance Auditor). v1.3 adds three more (Discovery Synthesizer, ADR Author, Design Review Coach). Total of thirteen distinct agents at v2.0.
Who is SDLC Playbook for?
Engineering teams of any size that need to prove their SDLC was followed without a six-week audit scramble. Product Managers and QA Managers who want AI co-authors for stories and test plans. Mid-market software companies with offshore engineering teams. Compliance-driven orgs preparing for SOC 2, ISO 27001, or HIPAA reviews. Federal contractors operating under NIST 800-218 SSDF and CMMC. Engineering Directors and Chief Compliance Officers who want continuous process accountability, not point-in-time audit theater.
Does it integrate with GitHub, Azure DevOps, and Jira?
Yes. GitHub and Azure DevOps are P1 MVP integrations with full read and write support, including merge blocking via status checks, automated PR comments, sub-PR generation, and pipeline stage gating. Jira and ADO Boards now have write capability for authoring agents (every write requires explicit human approval and is auditable). Slack and Microsoft Teams are also P1 integrations for notifications and override approvals. GitLab, SonarQube, and AWS pipelines round out the supported stack.
What compliance regimes does it support?
Out of the box: SOC 2, ISO 27001, HIPAA, and PCI-DSS evidence collection mapped to your existing controls. For federal customers: NIST 800-218 SSDF, NIST 800-171, and CMMC Level 2 practice mappings, with FedRAMP Moderate architecture available on AWS GovCloud, Azure Government, or on-prem for air-gapped environments. FedRAMP Moderate authorization is targeted for Q4 2026.
How is SDLC Playbook priced?
Three per-engineer tiers. Team at $39 per engineer per month for mid-market dev shops (5-25 users, self-serve). Business at $99 per engineer per month for growing engineering orgs with full enforcement, authoring, and compliance mapping (25-200 users, sales-assisted). Enterprise is custom-quoted for large orgs (200+ users), federal contractors (GSA schedule available), and air-gapped deployments. See full pricing.
The product is built.
The mockups are real.
The first design partners are next.
Software teams of any size, anywhere — with offshore engineering, compliance pressure, or just a process that nobody can prove was followed. The first ten design partners get free 90-day access in exchange for reference rights.