AI SDLC Accountability and Documentation Software for Software 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 with SHA-256 anchoring. The audit package is one click away, retrieved rather than reconstructed.
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.
Detect governance drift
Is the process you documented the process you actually run? Governance Drift Detection continuously reconciles declared governance against observed execution. Every control reports CONFIRMED, OBSERVED_ONLY, or NOT_OBSERVED_IN_WINDOW, so a gap is never hidden behind a green check.
Approve in chat, keep the evidence
A human sign-off given in Slack or Microsoft Teams is captured at that moment as tamper-evident, control-mapped evidence. Other tools notify out; we capture the governance decision. Every evidence item carries a SHA-256 you can verify.
Three classes.
Shipping today, then a phased roadmap.
Shipping today: enforcement (6 PR gates run by Code Sentinel, 6 release gates run by Release Gatekeeper, plus Role Accountability and Requirements Auditor), authoring (Requirements Author, QA Strategist, Discovery Synthesizer, ADR Author), and documentation (Release Composer, Compliance Scribe). v1.2 adds four sprint-ceremony and compliance agents. v1.3 adds Design Review Coach. 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 roles.
One coherent product.
Representative workflows for the people SDLC Playbook is designed for. The names are illustrative, not customers, and the outcomes describe the intended workflow rather than measured results.
Opens the dashboard Monday morning, sees the Accountability Score, and knows which squad needs a conversation. Not at the post-mortem, weeks later.
Requirements Author drafts the story. She reviews side-by-side, edits, accepts. The story lands in Jira with proper acceptance criteria. Writing time becomes editing time.
His PR is blocked. The Coach explains exactly why, drafts the missing tests, and gets him merged. Process stops feeling like friction and starts feeling like help.
QA Strategist drafts the test plan. She reviews and adjusts. The Deploy button stays greyed out until everything is green.
Audit prep stops being a multi-week scramble. He pulls the signed evidence package between two meetings, retrieved rather than reconstructed.
Project Brain knows the stack, the components, the domain language. Agents stop sounding like outsiders. Compliance Scribe writes SSPs that read like the 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?
Shipping today across three classes. Enforcement: Code Sentinel (6 PR gates), Release Gatekeeper (6 release gates), Role Accountability, Requirements Auditor. Authoring: Requirements Author, QA Strategist, Discovery Synthesizer, ADR Author. Documentation: Release Composer, Compliance Scribe. v1.2 adds four more (Standup Synthesizer, Retrospective Coach, Sprint Planner, Compliance Auditor). v1.3 adds Design Review Coach. Total of thirteen distinct agents at v2.0.
Who is SDLC Playbook for?
Anyone responsible for how software gets built, not just engineers. Engineering leaders, product managers, project managers, QA managers, compliance officers, and the CEOs and CIOs who sign attestations all use it. Teams of any size that need to prove their SDLC was followed without a six-week audit scramble, from a three-person team to a 500-person organization. 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 P1 integrations for notifications, and a human approval given in either chat is captured as control-mapped evidence (commercial cloud). SonarQube and Snyk results are read from your CI artifacts today; direct connectors for them and for GitLab are on the roadmap.
What compliance regimes does it support?
Not every framework is the same kind of obligation, so we group them that way. Mandatory contractual: NIST 800-171 rev2 (shipped; also the control baseline for CMMC Level 2, though CMMC-specific packaging such as practice IDs, SPRS scoring, and assessment objectives is not implemented), DoD RMF evidence for the SDLC control families (shipped), and FedRAMP (on the roadmap; aligned to FedRAMP Moderate controls today). Certifiable standard: SOC 2 (shipped). Voluntary baseline becoming an expectation: NIST SSDF 800-218 (shipped). ISO 27001, HIPAA, and PCI-DSS are on the roadmap. Federal customers also get OSCAL export (assessment results, assessment plan, component definition). See the federal SDLC compliance page.
How is SDLC Playbook priced?
Per seat, three tiers. A seat is anyone who works in the lifecycle: engineers, product and project managers, QA, compliance, and leadership. Team for small software teams (1-25 seats, most start at 3, guided onboarding). Business for growing software organizations with full enforcement, authoring, and compliance mapping (26-200 seats, sales-assisted). Enterprise for large orgs (200+ seats) and federal contractors; air-gapped deployment is on the Enterprise roadmap. List prices are not published yet: the first ten design partners get 90 days free and lock in early-partner pricing. See pricing and the design partner program.
The product is built.
No customers yet.
The first design partners are next.
It is built. What it has not done is survive contact with ten real engineering organizations, which is the only thing that tells you whether a product is right. 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. See per-seat pricing or the federal contractor page.
