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AI Integration

You want AI to work with your everyday tools. Your team still chases information, repeats admin, and relies on a few people for answers.

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How we help

We connect your applications and company information, automate routine work, and train your team to use the tools.

  1. AI built around your business

    Build a private AI assistant around your company files, processes, and team roles.

  2. Connect the tools you already use

    Bring information from your everyday applications into one AI workspace, with agreed controls over access and changes.

  3. Take repeated work off your team

    Move information between systems, prepare routine updates, and send work for approval. Use AI or agreed rules, with human review where needed.

Who is this for?

For owners and teams who repeat the same admin, chase information across applications, or need practical help adopting AI.

Security & privacy

Agree where company documents, files, and project data are stored and processed, who can access them, and which external services are used.

Team training & handover

Test agreed workflows, train your team to use the tools, and document responsibilities and support.

A client asks for an update

Illustrative scenario.

The situation
Someone checks emails, project files, and your tracking system before they can reply.
How we help
An AI assistant brings together approved information and drafts an update for the responsible person to review.
What changes
Your team reviews and sends the reply, then records the update in the connected system.

How it could work

  1. Ask for the update

    An authorised employee asks the AI assistant for the latest client or project status.

  2. Bring the facts together

    Use approved information from connected files, emails, and tracking tools.

  3. Prepare a reply

    Draft an update with references to the records used, ready for a person to check.

  4. Approve and record

    The responsible person reviews and sends the reply; permitted updates are recorded in the agreed system.

Systems, permissions, and responsibilities are agreed per project.

Scope

Data, deployment, access permissions, integrations, permitted actions, evaluation, team training, handover, and support. Any model training or adaptation is scoped separately.

Practical questions

Does every workflow need AI?

No. We use predefined rules, AI, or both, depending on the task.

Can you connect our existing applications?

We assess supported connections and define permitted data access, updates, and actions.

How is company data handled?

Deployment, storage, permissions, retention, and external services are agreed before implementation.

Do you train our team?

Yes. We train your team on the agreed tools and workflows, including responsibilities and access controls.

HOW WE WORK

A clear starting point. A defined next step.

  1. Understand the problem

    We discuss your current workflow, constraints, and the decision or task you want to improve.

  2. Define the scope

    We agree on priorities, data access, deliverables, and how the work will be assessed before implementation.

  3. Deliver and review

    We carry out the agreed work, review it against the scope, and plan handover and any ongoing support.

Tell us where the work gets stuck.

You do not need a technical brief. A description of the problem, the tools you use, and what you want to improve is enough to start.

Discuss this service