A clear place to begin with AI

AI Readiness Review

See where AI could genuinely help your organisation, what is already happening, and what needs to be in place before you invest further.

Why this matters

AI is already being discussed or used across the organisation, but there is no shared view of where it is helping, what to prioritise, or what needs to be in place to use it well.

Who this is for

  • You know AI matters but are not yet sure what it means for your organisation
  • People are already using ChatGPT, Claude or other tools in different ways
  • You can see several possible opportunities but need help deciding where to begin
  • You want a grounded plan before committing to tools, agents, automations or a larger implementation

What you'll leave with

A clear view of where the organisation stands across people, work, information, governance and technology, with practical priorities for responsible AI adoption.

How it works

01

Understand

We begin with the business context, current use of ChatGPT, Claude and other AI tools, leadership priorities, team experience and the concerns already shaping decisions.

  • Confirm the purpose and scope of the review
  • Speak with key leaders and people close to the work
  • Gather team input through a short survey or working session where useful
  • Review current use of ChatGPT, Claude and other AI tools, plus any agent or automation experiments
  • Agree the decisions the review needs to support

02

Assess

We assess what is already working, where the gaps are, and what would make AI, agents and automations useful, reliable and responsible in practice.

  • Review how ChatGPT, Claude and other AI tools are currently being used
  • Examine priority workflows and where time, coordination or quality is being lost
  • Assess where agents or automations may be appropriate and where they would add complexity
  • Assess information quality, access, ownership and organisational context
  • Identify governance, privacy, security, review and accountability requirements
  • Assess team capability, leadership support and implementation readiness

03

Prioritise

We compare AI, agent and automation opportunities by value, feasibility, readiness, risk and what the organisation could learn from starting there.

  • Consolidate the opportunities surfaced during discovery and assessment
  • Separate straightforward automation opportunities from agentic or AI-enabled work
  • Compare opportunities by value, feasibility, readiness, risk and learning potential
  • Identify which ideas depend on stronger information, ownership or governance first
  • Distinguish quick experiments from strategic workflow opportunities
  • Recommend the strongest starting point or sequence

04

Decide

We bring the findings together, agree what to do now, later or not at all, and turn the review into a practical direction for the next 90 days.

  • Present the findings and priority opportunities
  • Discuss trade-offs, risks and dependencies with decision-makers
  • Agree what AI, agents, automations, systems and people should each do
  • Confirm what must remain human-led, including judgement, creativity, relationships and accountability
  • Agree what should happen now, later or not at all
  • Confirm ownership, success measures and the recommended next engagement
  • Provide a concise findings and direction document

Ready to get started?

You do not need to arrive with an AI strategy. We look at the work, priorities, people, information and systems across your organisation, then turn that into a clear and practical direction.