Which AI provider do you use?

Whichever fits the job and your constraints. We work with OpenAI, Anthropic, Gemini, OpenRouter, and local models, and we design so you can switch providers without rebuilding.

Is our data used to train models?

No. Your data is used only to ground and personalize your system. We configure providers with training opt-outs and can deploy local models where data cannot leave your infrastructure.

What if the AI gives wrong answers?

We build an evaluation suite from your real cases before launch, add guardrails and confidence thresholds, and route uncertain cases to a human. You see quality metrics on a dashboard, not anecdotes.

Service

AI Integration. Implement AI into existing business processes.

We wire AI into the systems you already run: grounded in your data, evaluated against your real cases, and monitored in production. Not a demo. A working part of your operation.

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Problem

AI pilots impress in demos and stall before operations.

Most businesses have tried a chatbot or a proof of concept. Few have AI doing real work, because the gap between a demo and a dependable system is engineering, not prompting.

Off-the-shelf chatbots that don't know your business or your data.
No way to measure whether the AI is actually right often enough.
Unanswered questions about privacy, cost, and what happens when it fails.

Solution

AI that is grounded, evaluated, and supervised.

We connect models to your actual data and systems, build an evaluation suite from your real cases before going live, and ship with guardrails, fallbacks, and monitoring, so the AI earns trust instead of demanding it.

Deliverables

What you receive.

A production AI service integrated with your existing systems
Retrieval pipeline grounded in your documents and data
Evaluation suite built from your real cases
Guardrails, fallbacks, and human-handoff paths
Admin dashboard for monitoring usage, cost, and quality
Documentation and team training

Timeline

How a typical engagement runs.

Durations below are typical, not quoted. Your proposal includes a timeline scoped to your project.

01 · Week 1
Discovery & data audit
We map the process, the data sources, and the success criteria.
02 · Weeks 2-4
Grounded pilot
A working integration on your data, tested against real cases with your team.
03 · Weeks 4-7
Production hardening
Guardrails, monitoring, cost controls, and integration into daily workflows.
04 · Ongoing
Handover & support
Documentation, training, and a support arrangement that fits your team.

FAQ

Common questions about ai integration.

Whichever fits the job and your constraints. We work with OpenAI, Anthropic, Gemini, OpenRouter, and local models, and we design so you can switch providers without rebuilding.

Let's scope your ai integration project.

A consultation is free, and the proposal you receive is written: scope, timeline, and price you can hold us to.

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