AI consulting & implementation

AI consulting.
A useful first step.

AI consulting that finds a worthwhile use case and turns it into a focused pilot.

Tell us what you need
CHOOSE THE RIGHT TOOL

Does this need AI?

Pick a task to explore a possible approach.

Effort
Low, with clear categories
Potential benefit
Less manual sorting
Risk if wrong
A delayed response

A simple rule may be enough. Route a selected service category to its owner; AI adds little to that decision.

Illustrative assessment. Your process may differ. Nothing is sent.

Leading organisations our team have served

What’s included.

Process assessment

Understand the task, workload, people and existing tools. Identify repetitive work and the exceptions that make it difficult.

Use-case selection

Compare potential benefit, implementation effort and the consequences of mistakes. Choose one bounded application with an accountable owner.

Tool selection & pilot

Assess the required capabilities, access and data handling. Implement a pilot that can be tested against representative work.

Evaluation & handover

Check output quality and failure modes. Document when a person must review or take over, and decide whether to expand.

Is this the right fit?

A good fit

For businesses considering AI but needing a concrete use case, realistic boundaries and a delivery plan before investing in tools.

Scope & boundaries

AI can make mistakes. Review and escalation need to match the consequences of those mistakes. We do not promise autonomous handling of every situation or a fixed percentage of savings.

Deliverables & pricing
  • A prioritised shortlist of useful applications.
  • A scoped pilot with evaluation criteria.
  • Representative tests and clear human handovers.
  • A rollout recommendation and operating notes.

How pricing works

A paid assessment is scoped around the process and people involved. Pilot implementation, usage costs and ongoing monitoring are identified separately. The aim is a useful first step, not an open-ended transformation programme.

What to share with us

Describe the work, approximate volume, tools and process owner. Bring examples of typical and difficult cases using sanitised information where possible.

Your questions
Do you also implement the recommendations?
Yes. Assessment can lead into a separately scoped pilot and implementation, with agreed responsibilities and success criteria.
Will our business data be used by external tools?
That depends on the selected tools and configuration. Data access, provider terms and permitted uses need to be reviewed before connecting business information.
What makes a good first AI project?
A repeated task with clear inputs, a process owner, representative examples and an outcome you can evaluate is a better start than a broad ambition to use AI everywhere.

What would you stop doing manually?

Tell us what you need