We kept hitting the same wall as engineering leaders: DORA tells you how fast you ship, but not whether your engineering practices are actually healthy. When you're preparing for SOC 2, scaling past three teams, adopting AI, or recovering from an incident - you need to know which of your core practices are broken and what to fix first. That tool didn't exist, so we built it. What Concordance does: - Connects to GitHub, GitLab, or Bitbucket (read-only OAuth) - Scans against 50 protocols across 6 SDLC phases - Scores each one on a 5-level maturity model with evidence - Generates a prioritized Action Plan (severity, effort, impact, ownership) What makes it different from DORA/Jellyfish/LinearB: Those tools measure velocity i.e how fast you ship. Concordance measures governance i.e whether you're building the right thing safely. And it's prescriptive: you get a treatment plan, not just a thermometer reading. The framework is open (CC BY 4.0). You can fork it, audit it, extend it. We don't believe in black-box scoring. Try the AI Sentinel, our AI governance scanner that detects prompt injection paths, unvetted model usage, and training data exposure. There's a free public demo you can run on any GitHub repo right now at getconcordance.com/sentinel-demo The free tier gives you a complete diagnosis for one team. We'd love to hear what it surfaces for yours.

Concordance — Velocity Governance

Stop flying blind. Score governance on 50 SDLC protocols

Stop flying blind. Score governance on 50 SDLC protocols