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Service 02 — AI Integration

From demo to production in weeks.

We wire AI models — Claude, OpenAI, fine-tuned, on-prem — into the systems your team already uses. With evals, monitoring and guardrails built-in.

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01 / Who it's for

Built for teams who can't wait for results.

This engagement is for operators who already know they have a problem worth solving — and want a senior team to ship the fix in weeks.

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Prototype to scale

Teams with a working AI prototype that needs to scale to real users, safely.

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Stuck with vendor "AI"

Operators stuck with vendor 'AI features' that don't actually fit their workflow.

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CTOs who want the boring 80%

Leaders who need a partner who understands eval, observability and production AI.

02 / What you get

Deliverables, not slideware.

01Production integrationIn your stack — no vendor lock-in unless you choose it.Ship
02Eval suite in CIQuality regressions block deploys automatically.Quality
03Observability dashboardsLatency, cost and quality — always visible.Monitor
04RunbookFailure modes, escalation paths, kill-switches.Ops
0530 days post-launch supportIncluded as standard — we tune on real traffic.Support
03 / What we do

Six things we ship inside this track.

A focused engagement. Some clients use a subset; most use all.

01 / FEATURES

LLM-powered features

Chat, summarisation, classification, extraction — wired into the product, not bolted on.

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02 / RAG

RAG pipelines

Embeddings, vector DBs, retrieval, ranking — built on your data, scoped to your access model.

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03 / AGENTS

Agentic workflows

Multi-step agents with tool use — booking, ticketing, enrichment — with guardrails.

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04 / EVALS

Evals & monitoring

Deterministic tests, regression checks, latency/quality dashboards. Know when a model drifts.

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05 / COST

Prompt & cost ops

Versioning, A/B tests, model routing, token budgeting. Most clients halve cost in 60 days.

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06 / GOV

Governance & PII

PII redaction, audit logs, role-based access, data-residency. Enterprise-ready by default.

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04 / Process

How a typical engagement runs.

Async-first. Senior-only. Weekly demos.

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WK 1

Scope

Pick the integration. Lock the eval set. Agree the guardrails. One week of design, one signed scope.

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WK 2–4

Build

2–4 weeks of build. Daily Looms. Friday previews. Eval scores published every Monday.

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HARDEN

Harden

Load test. Pen test. Fail-mode test. Cost test. Hand-over to your ops team.

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30/60/90

Operate

Optional: we run the system 30/60/90 days post-launch and tune as it sees real traffic.

05 / Outcomes

Numbers our clients care about.

SPEED
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SUPPORT
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06 / Related

Pair it with another track.

Most clients combine two or three. We'll recommend the right combination on the first call.

07 / FAQ

Common questions.

Five things people ask before signing.

Claude (default for production text), OpenAI, Google Gemini, and open-source via Together/Replicate. We pick by use-case, not by allegiance.

No. Our integration layer abstracts the model. Swap providers without rewriting product code.

Eval suites, retrieval grounding, structured outputs, human-in-the-loop on risky paths, and confidence routing. We treat hallucinations as engineering, not magic.

Yes. About half our integration projects pair with an in-house team. We document everything and hand over cleanly.

Most integrations land between $20k and $80k for the build, plus inference + infra costs. We share a fixed-fee proposal in the first week.

Ready to ship?

Tell us what you're trying to do. We'll send a proposal within two business days.

◆ Proposal in 2 days◆ Fixed-fee build◆ No lock-in