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AI integration & automation

AI services connected to the tools and processes you already use, starting with a small pilot. People review the results, and you decide what happens next.

Book a discovery call How the pilot works
Illustration, not live data.

An AI step inside the work you already do.

  1. AI integrations

    Connecting AI services through their APIs to a website or application you already use, so the AI step happens where your team works.

  2. LLM integrations

    Language models used for a defined task in your process, such as preparing a draft, with clear inputs and a person who checks the output.

  3. AI-assisted process automation

    The steps around the AI task: collecting the input, passing the reviewed result to the right record or person, and keeping a trace of what happened.

Prove it on one workflow before you scale it.

What a useful result looks like is agreed before the pilot starts. Timeline depends on project scope and requirements.

  • Step 1

    Discovery

    The process, the data it uses, who reviews the results, and what a useful result looks like.

  • Step 2

    Pilot

    One limited workflow, connected to your tools, with people reviewing every result during the pilot.

  • Step 3

    Decide

    A written review of the pilot against what was agreed. Then you decide to expand, change, or stop. Any next step gets its own written scope.

Workflows to consider for a pilot.

Examples, not promises. Whether a workflow suits AI is checked during discovery.

Good candidates

  • Drafting replies or summaries that a person reviews and sends.
  • Sorting incoming requests so they reach the right person faster.
  • Turning free-form text you already receive into a structured record that a person confirms.

What a pilot includes.

Discover

  • The workflow and the people involved
  • The data the AI step would use
  • What a useful result looks like

Design

  • Where the AI step sits in the process
  • Who reviews results, and how
  • Which data is sent to the AI service

Build

  • Integration with your website or application
  • The review step for people
  • Reviewed on staging, where appropriate

Review

  • Pilot run on real cases, reviewed by people
  • Written review against what was agreed
  • Recommendation for the next step

The AI service is chosen with you.

The service is selected during discovery, based on your requirements, your data, and the service's terms. Its accounts and usage fees are in your name and paid by you directly, where appropriate.

AI
AI integrations, API-based AI services, LLM integrations
Back end
PHP, Laravel, Node.js
Databases
MySQL, PostgreSQL
Code
Git, GitHub

What you receive.

What exists at the end of the pilot, and where it lives.

  • A working pilotOne workflow, connected to your tools, as agreed in the scope.
  • Pilot reviewWhat worked and what didn't, against what was agreed before the pilot.
  • RecommendationExpand, change, or stop, with a written scope for any next step.
  • Source code repositoryAccess as defined in the project agreement.
  • Handover documentationHow the AI step is set up and how to change it.

Engineering first, not AI for its own sake.

  • People stay in control

    The AI step prepares a result; a person reviews it before it reaches customers or records.

  • A small pilot first

    One workflow, a written review, and your decision before anything is scaled.

  • Data agreed in writing

    Which data is sent to an AI service is part of the written scope.

  • Ownership and rights

    Ownership and rights to project deliverables are defined in the project agreement. Client-owned accounts and access are used where appropriate.

How a pilot is reviewed, not live data.

What to know before you start.

Good to know

  • AI output can be wrong or incomplete, so a person reviews it.
  • Results depend on your data and your process; the pilot shows what is realistic.
  • Each AI service handles data under its own terms. Review them with your advisers.

Not included

  • Building or training your own AI models.
  • Autonomous agents that act without a person reviewing.
  • AI service fees. Paid by you directly, with accounts in your name where appropriate.

Questions before you decide.

Why start with a pilot?

A pilot shows on one real workflow whether AI helps, before you invest more. You decide what happens next based on a written review.

Which AI service do you use?

The service is chosen during discovery, based on your requirements, your data, and the service's terms. Accounts are in your name where appropriate.

What happens to our data?

Which data is sent to an AI service is agreed in writing before the pilot. Each AI service handles data under its own terms, so review them with your advisers.

Can you guarantee accuracy or savings?

No. AI output can be wrong, and results depend on your data and process. That is why people review results and the pilot is judged against criteria agreed in advance.

How long does a pilot take?

Timeline depends on project scope and requirements. It is part of the written scope you agree before work starts.

Have a workflow in mind?

Tell us where AI could help, and we'll start small.

We'll review your request and get back to you. Work starts after the scope and project terms are agreed in writing.

Book a discovery call