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AI implementation that reaches production.

When manual work and disconnected systems absorb growth before it reaches margin, friction is the constraint. FGV routes it to NeuronFlow, which redesigns the workflow first, then automates it, with a written line where human judgement stays.

Build my growth planHow NeuronFlow works
An analyst's hands sketch a process diagram on paper beside a monitor

You will recognise this.

  • Several AI tools have been bought, and nothing in operations has changed.

  • Teams re-key the same data into three systems every day.

  • Automation sits on a process nobody redesigned, and nobody has written down where people must still decide.

How the work runs.

  1. Step 1

    Assess

    A readiness view of your workflows, systems and data, and a short list of use cases ranked by value.
  2. Step 2

    Redesign

    Each chosen workflow is redesigned before anything is automated.
  3. Step 3

    Implement

    Automation, agents and integrations built into the systems you already run, in production.
  4. Step 4

    Govern

    Named owners, trained users and a written boundary for where human judgement stays, reviewed on a set cadence.

What you provide

Access to the workflows, systems and data; process owners who can give time; and any regulatory constraints that apply.

What you receive

A readiness view, ranked use cases, redesigned workflows, working automation or agents, training and written governance.

Third-party model and licence costs sit outside our fee. We do not give regulated legal, clinical, tax or financial advice. See our responsible AI standard.

Delivered by

NeuronFlow

FGV's AI and automation company. Readiness, workflow redesign, automation, agents, integrations and governance, measured by adoption and the hours returned to the business.

Read the NeuronFlow overview

When another company joins

Questions buyers ask first.

  • Do we need to buy new software?

    Not necessarily. The work starts with the systems you already run. Where a new tool is the answer, the licence cost is stated separately and stays in your name.

  • How many workflows do you take on at once?

    A small number, ranked by value in the assessment. Each one reaches production with an owner before the next begins.

  • Who decides what the AI is allowed to do?

    You do. Every workflow has a written governance boundary that names where a person must review or decide, and who that person is.

  • How is progress measured?

    By adoption and by the time and cost each workflow removes, reported against the baseline taken in the assessment.

Redesign the work before you automate it.

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