Human-led engineering.
AI removes the friction.
7 AI systems — 6 SDLC systems plus OVERSEER — governed by a framework called ARC. Every activity is scoped, measured, and auditable. Humans approve every gate.
ARC — every AI action is bounded.
Each system has a defined scope. ARCHITECT does not write code. FOUNDRY does not deploy. Boundaries are enforced, not suggested.
Every output is measured — accuracy, cost, latency. If a system drifts, OVERSEER flags it before delivery.
Systems are upgraded based on data, not assumptions. New capabilities are validated against production metrics before promotion.
What happens when a client asks for a new API endpoint.
6 systems. 6 stages. Every one measured. Every gate human-approved.
Structures the system design
API schema, tradeoff analysis, implementation plan
Accelerates development
AI-assisted coding, pattern reuse, controlled refactoring
Pre-reviews the pull request
Security, performance, standards — flagged before human review
Generates baseline test coverage
Unit, integration, regression — created automatically
Maintains documentation from code
API docs, changelogs, architecture decisions
Prepares deployment
Risk assessment, staging verification, auto-generated rollback plan
All metrics from digri.ai and Veril.ai production environments · Updated February 2026
- Failure rate
- % of releases requiring rollback/hotfix due to regressions attributable to that release.
- Coverage
- CI-reported test coverage (unit + integration; excludes generated/vendor code).
- Doc coverage
- % of services/endpoints/components with current docs generated from code and verified via doc-diff checks.
How do you know it's working?
OVERSEER is the 7th AI system — it monitors every action across all 6 pipeline systems. It tracks accuracy, cost, latency, and quality — in real time. Nothing ships without passing its gates.
This pipeline integrates with your existing tools — GitHub, Jira, Slack, CI/CD. We don't replace your stack. We add an AI layer that makes every stage faster and more accountable.
What this means for your budget.
Less coordination drag, more scope
Same governance. Higher throughput. AI handles scaffolding, baseline tests, documentation, and review prep so engineers spend time on judgment, risk, and correctness.
Veril.ai — built by 1 engineer in 4 weeks using this pipeline.
Measured and governed cost per action
AI costs are measured per pipeline action, not dollars per engineer hour. Design assist: ~$0.03. Code review: ~$0.05. Test generation: ~$0.02 (varies by repo size, workload, and model/tooling).
Day 1 velocity
No setup period. No "ramp-up quarter." The pipeline, governance layer, and AI systems are already built and running. Your project plugs in.
See it running. Ask anything.
30-minute call. We'll walk through the pipeline on a live project. No slides.
Speak to a Founder →