From pilot purgatory to production: agent systems with governance, evaluation, and a clear operating model.
Consulting
Operators,
not slideware.
We embed with your teams, deploy the same platform we run ourselves, and leave when your engineers are running it without us. That’s the deal.
Internal developer platforms that agents and humans share — golden paths, paved roads, real self-service.
Architecture and migration for AI-era workloads: cost-governed, multi-region, built for inference at scale.
Policy-as-code, posture engineering, and secure-by-construction pipelines — CyberSec OS methodology.
Decision systems, not diagrams: ADR practices, reference architectures, and reviews that bind.
The full operating-model shift — talent, process, governance — sequenced so delivery never stops.
Engagement
Three phases. No permanent dependency.
Phase 1 · Assess
A four-week diagnostic of your engineering system: knowledge, delivery pipeline, governance, and readiness for agents. You get a blueprint, not a deck.
Phase 2 · Build
We stand up Atlas OS and the AI Factory inside your environment, wired to your standards and policies — delivering real product work from week one.
Phase 3 · Transfer
Your engineers take the keys. We train the operators, hand over the playbooks, and step back to an advisory cadence. No permanent dependency.
Case studies
Proof, not promises.
Atlas OS + AI Factory across 40 teams. Every change now carries its ADR lineage; audit prep went from weeks to a query.
3.1×
delivery speed
−64%
audit effort
Policy-as-code bound HIPAA controls to the pipeline. Releases ship with evidence attached — no end-of-quarter scramble.
100%
release evidence
0
audit findings
Eleven stalled AI pilots consolidated onto one governed factory. Three shipped to production in the first quarter.
3
systems live in Q1
−48%
cost per release
Start with the
diagnostic.
Four weeks. Your real systems. A concrete blueprint for becoming AI-native — whether or not you build it with us.