AI Integrations

Intelligence. Integrated.

The AI solutions your business actually needs. Implemented with precision. Working from day one.

What we deliver

The AI solutions your business actually needs. Implemented with precision. Working from day one.

AI fit check before any build

We map your workflows, data, and constraints before recommending tools. You get a written fit check, not a slide deck of trending models.

Scoped pilots on real tasks

Assistants, automations, and internal tools shaped to your team, not a generic chatbot pasted onto your site because everyone else has one.

Production guardrails & evaluation

We connect to the systems you already run - CRMs, ops tools, APIs. No rip-and-replace unless the numbers and the risk profile say it is worth it.

Integration with your systems

Handover includes docs, walkthroughs, and guardrails your team can actually use. We stay available while the new workflow beds in, not vanish after demo day.

Our Process

A clear, step-by-step process from first conversation to ongoing support.

Discovery

Understanding your needs and goals.

Research

Finding the right AI tools for your use case.

Implementation

Integrating AI into your workflow.

Training

Empowering your team to use the new tools.

Support

Ongoing optimization and support.

Most “AI integration” pitches start with the model. We start with a fit check: is this a task worth automating, and where does it break. Only after that do we pilot on real tasks, add guardrails, and integrate with the systems you already run.

The fit check looks different by industry, what works for hotels rarely maps onto law firms. Our AI integrations notes cover the patterns and the limits we've found across sectors, including where we tell clients AI isn't the answer.

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Tell us what you're building

Share rough scope and any hard deadlines. We reply with options, ranges, and tradeoffs, not a generic pitch.

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Frequently asked questions

Who are AI integrations a good fit for?

They fit teams with a specific, repetitive workflow where a measurable amount of time or attention is lost, drafting, triage, monitoring, or lookup. They are not a fit when the goal is "add AI" with no workflow behind it; we run a fit check first and will say so.

What does an AI integration typically cost to run, not just build?

Beyond the build, expect ongoing model/API usage (often tens to a few hundred euros a month depending on volume) plus the maintenance an AI feature needs as models change. We name these running costs up front, the AI ROI Calculator helps you weigh them before committing.

How do you keep AI features safe in production?

We pilot on real tasks, keep a human in the loop by default, and add guardrails and evaluation before anything acts autonomously. Consequential steps always have a review path, and we document what the system will and will not do.