AI solutions and automation

    We design and build the systems that improve or automate your workflows: AI agents, assistants, document analysis and integrations with your existing systems, all the way to production. This is where the value is realised technically.

    Start with an AI prototypeBuild your AI plan
    A team works together as emails, documents and system data become decisions and updated workflows.
    What we hear

    And what we answer

    Four sentences from almost every first meeting — and the short answer to each.

    • 01

      Know what we want, lack capacity

      We build → you own
    • 02

      Want proof before investing

      Prototype first → decide after
    • 03

      No new silo, thanks

      Built into your systems
    • 04

      The pilot never went live

      Go-live decided in step 1
    Four kinds of build

    What we build, and when

    Pick one — see when it fits.

    AI agent1 / 4

    Every case needs judgement

    RuleJudgement
    • Clear mandate
    • Log: what and why
    • Human on sensitive calls
    Read more
    • Fixed scope
    • Start small
    • Security included
    • You own it all
    From idea to production

    The journey builds up, step by step

    Nothing is thrown away along the way. Each step hands you something you keep.

    What you own so far1/5

    • You approve the scope

      What the solution does, which data it sees and what must be proven.

    Before and after

    What changes when it is built

    Press FigFlows and watch the shift.

    Without helpWith FigFlows
    • Disconnected systems
      Integrations that share data automatically
    • Same task × 4
      One flow that finishes — every time
    • Errors are discovered too late
      Deviations are caught instantly and can be followed up
    Press FigFlowsSee the difference we make.

    Questions about building

    An automation follows a predetermined rule: when A happens, do B.

    • An AI agent interprets the situation, chooses between several possible actions and can handle input that varies, such as free text, email or documents.
    • Many solutions combine both, with automation handling the predictable part and the agent the parts requiring judgement.

    Yes.

    • We normally build against APIs in CRM, ERP, ticketing, file storage and email.
    • Where no API exists we solve it with other integration patterns.
    • The goal is always for the solution to live inside your flows, not beside them.

    The difference between a pilot and a production solution is rarely the model.

    • It is integration, ownership, permissions, measurement and maintenance.
    • We settle those questions already in the prototype phase, so going live becomes a decision rather than a new project.

    Where to go next

    Illustration of a prototype being built and tested
    01 / 03

    AI prototype

    The first step: a scoped build that shows the solution works.

    Open
    Illustration of a workflow being mapped out step by step
    02 / 03

    Process optimisation with AI

    When you do not yet know which flow to build first.

    Open
    Illustration of protected AI use with secure data handling
    03 / 03

    Secure and private AI

    When the solution must handle information that cannot leave your environment.

    Open

    Got a flow that should run itself?

    Tell us how it works today and we will propose a scoped build with fixed scope. If you want to see it working before you decide, we start with a prototype.

    Start with an AI prototype