AI Consulting & Integration
Scoped engineering help to investigate, build and integrate a useful change into your codebase.
VP Engineering · Head of Platform · Head of AI · CTO
Works with any LLM and any stack
This track is deliberately tool-independent. We build AI capability into your codebase and pipeline — whatever model, framework, or vendor you already run on. No platform lock-in, no rip-and-replace.
Bug Ticket → PR
Hand us a bug ticket. We run the investigation and hand back a reviewed, pull request for your team to review and merge.
Teams with backlog they can’t get to
How we engage
From a two-week proof-of-concept to senior leadership on retainer — pick the depth that matches where you are.
AI Integration Pilot / PoC
A scoped proof-of-concept that shows AI working against your real problem before you commit.
Teams validating an AI investment
- Tightly scoped proof-of-concept
- Built against your real data and workflow
- A clear go / no-go with evidence
AI Integration Sprint
A focused build sprint that ships a working AI capability into your product or pipeline.
Teams ready to ship a defined feature
- Fixed-scope, fixed-timeline build
- Production-grade integration into your stack
- Handoff with documentation your team can own
AI Integration Retainer
Ongoing AI engineering capacity to keep building and refining as your needs evolve.
Teams with a continuous AI roadmap
- Reserved AI engineering capacity
- Continuous delivery against your roadmap
- Priority access for new integrations
Fractional Head of AI Engineering
Senior AI engineering leadership, part-time — strategy, standards, and hands-on direction.
Orgs that need AI leadership, not a full-time hire
- Strategy and architecture ownership
- Standards, hiring, and team direction
- Hands-on where it matters most
Have a workflow in mind?
Start with the AI Velocity Assessment — we map the highest-leverage build, then scope the right engagement to ship it.