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Service · AI Integration Consulting

Get from model to production. Without burning the roadmap.

AI integration consulting for SaaS and product teams that have a model working in a notebook and a product that needs it shipped. We design the integration, build the eval harness, set the cost model, and ship.

When this engagement fits

You have a model working. The internal demo is convincing. The product team needs to ship it as a real feature and nobody is confident about the next ninety days.

The questions piling up: which model. Where to host. Which prompts get versioned and how. What the user sees when the model is unsure. How to evaluate quality without a thousand-row labelled set. How to keep inference cost from eating the gross margin of every user above the median.

If those are the questions you are stuck on, this is the engagement.

What we deliver

01

Integration decision document

Model selection (and fallback model). Prompt management discipline. Caching and routing strategy. Failure UX. Observability scope. Token budget per user tier. Every decision documented; nothing left to "we will figure it out in build."

02

Evaluation harness

A working evaluation pipeline so you know when a prompt change made things worse before it ships to users. Includes regression tests against known-good outputs, drift detection, and a cost-quality dashboard.

03

Production-ready feature

The actual integration shipped inside your product. Source code yours. Observability wired into your existing stack. Cost-routing logic in place. UX patterns proven against the failure modes that matter.

The shape of the engagement

Week 1-2: AI Integration Clarity Sprint. Two weeks, fixed price. Decisions documented. Integration architecture locked. Evaluation approach defined. Cost model agreed.

Week 3+: Defined-Scope Build. Four to twelve weeks at a fixed quote. Weekly demos. The same team that ran the sprint does the build. Full source ownership.

You can stop after the Sprint if the decision document is enough. Many teams use it to brief their internal engineering team. We are not optimizing for full-engagement attach.

Start the integration conversation

A 30-minute fit call. We will figure out whether this is the right engagement for your AI integration, or whether the right answer is something else entirely.

Start with a conversation.