How it actually works.
Nine user journeys, sixteen AI agents, eleven integrations, and the action enforcement model that turns process discipline into software.
Monday morning, 9:14 AM.
Sarah opens SDLC Playbook to see what happened across her four squads over the weekend. The Accountability Score answers her board’s question before her coffee is done.
She drills into the squad that dropped 12 points last week. The Root Cause Analysis explains why in two sentences. One Slack message later, the conversation is on the calendar.
The merge that won’t go through.
Pablo expects his PR to land in 30 minutes. Code Sentinel blocks it. But instead of a red CI badge and a 400-line log, he sees four named gates with the exact reason each one passed or failed.
The Coach explains the fixes in his language. Then it offers to draft the missing test cases. He clicks once. Six tests appear in a sub-PR. He merges and moves on.
The Friday deploy decision.
A federal release with 9 of 11 gates passed. The Deploy button is greyed out because the rollback plan is missing and the CS team training acknowledgments aren’t in. No amount of pressure changes that.
Once both items resolve, Lena clicks Deploy. Seven minutes later, the release is live and an evidence package is auto-locked to the Vault. Audit-ready, signed, sealed.
The auditor shows up unannounced.
David needs evidence for the company’s NIST 800-218 SSDF compliance posture. The Evidence Vault shows 28 of 28 practices mapped, with two minor gaps already flagged before the auditor finds them.
One click. 412-page signed PDF. 84 MB evidence ZIP. Tamper-evident. Generated in 90 seconds. The week he used to lose to evidence-gathering is now a one-click export.
84 MB Evidence ZIP
The offshore QBR that lands.
Anjali walks into the quarterly business review with three offshore partners. Three Partner Scorecards side by side, ranked by objective playbook adherence. Six metrics each. AI-generated talking points.
The conversation is no longer about vendor relationships. It is about specific metrics, specific engineers, and a clear renewal decision framework. Hard data wins every time.
Sixteen agents.
Three ship at MVP.
Each agent owns a phase of the SDLC. Six AI-era agents are P3 additions for the 2027 roadmap.
Eleven integrations.
Three priority tiers.
SDLC Playbook takes real action in real systems. Read-only versus write actions are clearly distinguished, and every action is logged.
GitHub
Block merges via status checks. PR comments. Sub-PRs. Release tags.
Azure DevOps
Block pipeline stages. Update story status. Attach evidence.
Slack
Block notifications. Threads. Weekly briefs. Override approvals.
Microsoft Teams
Same as Slack. Required for Microsoft-shop federal customers.
Jira
Refuse story closure. Audit comments. Block sprint close.
SonarQube
Pull coverage and quality data. Read-only by design.
Snyk
Security scan triggering. Block PRs on high-severity findings.
PagerDuty
Page on-call when production gate is overridden.
ServiceNow
Auto-create change tickets for production deploys.
DocuSign
Capture signoffs as legally-binding signatures for federal evidence.
GitLab
Same action surface as GitHub. Earned when first GitLab customer signs.
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