AI readiness assessment for organisations
AI readiness is specific to a workflow. A team may have tool access and training while still lacking an authoritative source, a process owner or someone able to review the output.
Is a policy assistant ready if its sources disagree?
An AI readiness assessment examines whether an organisation can apply GenAI to a workflow with adequate information, authority and review capacity. It considers business value, data access, source quality, privacy requirements, employee capability and the cost of changing the process. It should identify which use cases can start, which require preparation and which should be deferred or stopped. Managers need to know how they will check AI-assisted work and what choices remain theirs. A practical assessment ends with named responsibilities, relevant training and a 30-to-90-day plan for collecting evidence from selected workflows.
The assessment examines whether one team can change a selected workflow. It records the use case, owner, information requirements, training needs, approval rules and evidence needed to assess the trial.
Work on a decision you recognise.
An internal policy assistant can search the employee handbook and policy circulars. A newer circular contradicts part of the handbook, but the source owner has not confirmed which rule applies. The assistant produces a confident answer. Should the team begin using it for employee requests?
Examine the readiness decision
The unresolved requirement is source authority. Retrieving both documents does not establish which one governs the request. The policy owner must confirm the applicable rule and how superseded material should be handled.
The team can test retrieval and citation quality separately. Use for employee requests depends on resolving the policy conflict and agreeing how uncertain cases reach the responsible reviewer.
- Starting material
- Approved policy documents, effective dates, source owners and rules for handling superseded guidance.
- The task
- Find the relevant passages, cite each source and identify conflicts or missing information.
- Review the result
- Confirm that the answer follows the applicable policy. Track unresolved cases and the work required to correct the source material.
What participants work on.
- Leadership interviews and current AI-use scan
- Workflow and decision inventory
- Use-case scoring by impact and feasibility
- Risk, data, DPDP, and governance review
- Manager capability and training diagnosis
- Readiness report with 30/60/90-day action plan
Assess capability against a workflow
Tool access and employee interest provide starting information. Readiness also requires useful work, an accountable owner, adequate data and a way to review the result.
The assessment identifies teams ready for a trial and the training, data or policy preparation others need.
Make implementation decisions explicit
For each use case, record whether to start, prepare, defer or stop. Specify the reason and the responsible person.
This gives leaders, functional managers and L&D teams a sequence they can act on, including decisions that depend on further preparation.
Examine the complete process
The diagnostic examines recurring work, decision quality, document access, data sensitivity, team authority, current AI use and manager review capacity. It also considers whether AI would increase checking or rework.
The resulting action plan identifies what to trial, who needs training and what evidence to review after 30 or 60 days.
Connect the problem to an action.
| Area | Question to examine | Programme response |
|---|---|---|
| Use-case readiness | Teams have ideas but no prioritization method. | Score use cases by impact, data readiness, reviewability, change cost, and ownership. |
| People readiness | Employees may know tools superficially but managers do not yet know what to review. | Identify training needs by role, function, and workflow. |
| Governance readiness | Teams need agreed privacy, verification and accountability requirements before beginning a trial. | Define approved information, actions, review requirements and conditions for stopping a trial. |
Questions about the programme.
What is an AI readiness assessment?
It is a diagnostic that evaluates whether an organization is ready to use AI productively across workflows, people, governance, data boundaries, review routines, and use cases. For GenAI, it should produce a prioritized adoption roadmap.
Who should participate in the assessment?
Include business leaders, L&D or HR, functional managers, technology owners and employees familiar with the selected workflows. Each can identify relevant requirements and constraints.
How long does an assessment take?
A focused assessment can be run as a workshop or short diagnostic sprint. The duration depends on the number of functions, but the output should be clear enough to guide the first 30 to 90 days.