— Service detail · Build

AI Engineering & Execution

Senior AI engineers embedded alongside your team to ship production systems — not proofs of concept, not hand-offs over the wall. We deliver in 14-week sprints with weekly demos, and we own delivery until it is live and your team can run it.

Timeline14-week sprints
ServiceBuild

— Who it's for

Built for the leaders carrying the decision

Who it's for
  • CTOs and engineering leads with a validated AI strategy
  • Teams that have a plan but lack senior AI capacity
  • Organizations stuck moving AI from staging to production
Trigger symptoms
  • AI work keeps stalling in proof-of-concept or staging
  • The strategy is set but nothing has shipped
  • Internal engineers lack production AI/ML experience
  • Previous vendors handed over a deck, not a system

— What we do

The engagement

We embed senior AI engineers directly with your team and ship production systems in 14-week sprints with weekly production demos. We own the solution architecture, build and deploy the agent workflows, and stand up governance, monitoring, and observability around them.

We are accountable to production — not a slide deck. And we transfer knowledge as we go, so when the engagement ends your team runs the system, not us.

— Deliverables

What you walk away with

AI Engineering & Execution · deliverablesBuild
01
Solution architecture & system design
02
Production agent deployment on your stack
03
Governance, monitoring & observability
04
Team embedding, knowledge transfer & full handover

— Engagement terms

Timeline & what you provide

Timeline
14-week sprints

Weekly production demos; scope set per engagement.

What you provide
  • Engineering counterparts to embed alongside
  • Access to the target systems, data, and environments
  • A clear definition of done and production criteria

— Decisions it enables

What you can decide afterward

— With this in hand, leadership can
  • What to ship first and in what sequence
  • Whether to scale, hold, or stop at each sprint demo
  • How to operate and monitor the system post-handover
  • What internal capability to build for the next system

— Example outputs

See the artifacts this produces

Illustrative, redacted sample structures — not real client artifacts.

Book an AI Decision Call

30 minutes to scope the build — what to ship first, what production looks like, and how a 14-week sprint would run on your stack.

Book an AI Decision Call