● Sub-service
AI strategy and integration that actually ships.
We help mid-market and enterprise teams move from "we should be doing AI" to "we shipped an AI feature this quarter that has measurable impact." No hype. Real pilots. Real measurement.
01What we do
- AI readiness audit
- AI strategy roadmap
- Model selection + evaluation
- RAG + vector search architecture
- LLM integration in web + mobile
- Agent + workflow design
- Responsible-AI policy + governance
02What you get
- A 90-day pilot plan tied to real outcomes
- An AI architecture diagram you can hand to your CTO
- Working prototypes — not slide decks
- Evaluation harness for model swaps
- A maintained, observable AI feature in production
03How we work
Five phases, fixed at the door.
01
Discovery
Understand your business, your audience, and the truth of the brief. Most projects change shape here — and that's the point.
02
Strategy
Decide the moves. A clear thesis, a measurable outcome, and the smallest scope that gets us there.
03
Design + Prototype
Make the artefact. Tested with real users, refined against real constraints, ready to engineer.
04
Build + Ship
Engineered, accessible, performant. Shipped behind feature flags so the rollout can stay calm.
05
Measure + Iterate
Outcomes monitored against the thesis. The work continues — every project is the first version of something better.
05FAQ
- Are you locked in to one model vendor?
- No. We build provider-agnostic so you can swap between Anthropic, OpenAI, Google, and open models as the landscape changes. The Vercel AI Gateway is our default abstraction.
- How do you handle data privacy?
- Customer data stays in your tenant by default. We default to zero-retention modes with providers and route sensitive flows to private deployments when needed.
Ready to start?
Tell us what you're trying to do. We'll come back inside a working day with a real first read.