Our Engineering OS

Human-led engineering.
AI removes the friction.

Six named AI systems — governed by a framework called ARC — support every stage of the SDLC. Every activity is scoped, measured, and auditable. Humans approve every gate.

The governance framework

ARC — every AI action is bounded.

A Autonomy

Each system has a defined scope. ARCHITECT does not write code. FOUNDRY does not deploy. Boundaries are enforced, not suggested.

R Reliability

Every output is measured — accuracy, cost, latency. If a system drifts, OVERSEER flags it before delivery.

C Capability

Systems are upgraded based on data, not assumptions. New capabilities are validated against production metrics before promotion.

The pipeline

What happens when a client asks for a new API endpoint.

Six systems. Six stages. Every one measured. Every gate human-approved.

1
ARCHITECTDesign

Structures the system design

API schema, tradeoff analysis, implementation plan

Tech lead approves before any code is written
45 min was 4 hrs
2
FOUNDRYBuild

Accelerates development

AI-assisted coding, pattern reuse, controlled refactoring

Engineer reviews and approves all generated code
Daily was 2-wk sprints
3
SENTINELReview

Pre-reviews the pull request

Security, performance, standards — flagged before human review

Senior engineer makes the merge decision
−42% 200+ PRs
4
SHIELDTest

Generates baseline test coverage

Unit, integration, regression — created automatically

QA validates and extends generated tests
87% coverage
5
CHRONICLEDocument

Maintains documentation from code

API docs, changelogs, architecture decisions

94% doc coverage
6
GUARDIANRelease

Prepares deployment

Risk assessment, staging verification, auto-generated rollback plan

Team lead approves every production release
2.1% failure rate

All metrics from digri.ai and Veril.ai production environments · Updated February 2026

OVERSEER — the governance layer

How do you know it's working?

OVERSEER monitors every AI action across all six systems. It tracks accuracy, cost, latency, and quality — in real time. Nothing ships without passing its gates.

Accuracy Per action
Cost Per task
Latency Per response
Quality Pass/fail rates
Audit Full trail

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.

The economics

What this means for your budget.

Smaller teams

Same output, fewer coordination layers. AI handles scaffolding, testing baselines, documentation, and review prep — so engineers focus on decisions, not repetition.

Veril.ai — built by 1 engineer in 4 weeks using this pipeline.

Cents, not dollars

AI costs are measured per pipeline action, not dollars per engineer hour. Design assist: ~$0.03. Code review: ~$0.05. Test generation: ~$0.02.

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.

Proven, not theoretical

This pipeline built our own products. digri.ai and Veril.ai are live, revenue-generating platforms built entirely on this system.

See it running. Ask anything.

30-minute call. We'll walk through the pipeline on a live project. No slides.

Speak to a Founder →