Skip to main content
Growth Plan
We need to implement AI.

Turn workflow friction into a useful, controlled AI capability.

Tools and pilots accumulate without changing how the work runs. Manual effort still absorbs growth, and nobody owns the boundary for what AI is permitted to decide.

Desired outcome

A small number of prioritised workflows redesigned and supported by AI in production — with owners, training and a written governance boundary.

You will recognise this if
  • Several tools are in use with no measurable operational change.
  • Teams re-key the same data between systems.
  • Automation has been layered onto a process that should be redesigned.
  • There is no written boundary for where human judgement is required.
The specialist company

NeuronFlow — AI enablement and implementation

FGV frames the operating case and the governance boundary. NeuronFlow redesigns the workflow and delivers the automation, integrations and training.

Visit NeuronFlow
What that company does
  • Maps current workflows and data reality before proposing tools.
  • Prioritises use cases by operational value and feasibility.
  • Designs, integrates and deploys automation and agents.
  • Trains teams and defines governance, review points and escalation.
When another company connects

Added only when the outcome requires it.

  • OmniFlow

    The first workflows to improve are marketing and revenue.

  • TAASFlow

    The team required to run the new system does not exist yet.

  • AtlasFlow

    The operating model must work across more than one market.

What changes

The measurable difference.

  • A readiness view and a ranked set of use cases with expected value.
  • Redesigned workflows before anything is automated.
  • Automation, agents and integrations in production with owners.
  • Written governance and training so adoption survives the project.
Inputs, outputs and boundaries

What we need from you

  • Access to the workflows, systems and data in scope.
  • Process owners available for mapping sessions.
  • Any regulatory or data-handling constraints that apply.

What you receive

  • A readiness view and ranked use-case list.
  • Redesigned workflows and integration design.
  • Working automation or agents with named owners.
  • Training materials and a written governance boundary.

What this is not

  • Human judgement stays required wherever the governance boundary says so.
  • FGV does not provide regulated legal, clinical, tax or financial advice.
  • Third-party model and licence costs sit outside the engagement fee.
How the work runs
01

Assess

Readiness, data reality and where the work actually costs time.

02

Redesign

Fix the process before automating it.

03

Implement

Automation, agents and integrations with named owners.

04

Govern

Training, review points and a written human-judgement boundary.

Start with the constraint, not the scope.

NeuronFlow delivers this work. FGV stays accountable for the plan and connects another company only if the outcome requires it.