Your business knows AI matters. But where should it actually be used?
Starting with an AI tool is easy. Determining whether it belongs in a business workflow is harder.
AI may reduce repetitive work, improve access to knowledge or support faster decisions. It can also introduce unreliable outputs, privacy concerns, unclear accountability and additional review work when the business is not prepared.
I help businesses examine where AI could create practical value, assess whether the organisation is ready and define a controlled starting point before significant time or money is committed.
Established businesses and operational teams that are AI-aware but do not yet have a structured adoption plan.
A prioritised and evidence-based roadmap showing where to start, what to prepare and what not to pursue yet.
Assess before you adopt
AI adoption should begin with the business problem, the workflow and the operating conditions. It should not begin with a product demonstration or a list of available tools.
Understand
Clarify the business priorities, operational pressures and outcomes the organisation is trying to improve.
Examine
Review the workflows, decisions, information flows and recurring work connected to those priorities.
Evaluate
Assess potential value, implementation complexity, data readiness, human oversight and operational risk.
Prioritise
Select a small number of realistic opportunities and define what must happen before implementation begins.
The result is not a catalogue of everything AI could theoretically do. It is a disciplined view of where AI may be useful within the organisation's actual operating environment.
AI Opportunity Readiness Assessment
FOR BUSINESSES THAT NEED A CLEAR STARTING POINT
The AI Opportunity Readiness Assessment examines the organisation before recommending a tool, pilot or training programme.
It identifies where AI may create practical value, whether the required operating conditions exist and what risks or dependencies must be addressed first.
Business objectives and operational pressures
Existing workflows and recurring work
Decision points and information dependencies
Data and knowledge availability
Current AI experimentation, if any
Employee capability and adoption barriers
Privacy, security and confidentiality considerations
Human authority and review requirements
Workflow ownership and accountability
Implementation complexity
Potential value and measurable outcomes
Tool and technology constraints
Current-state assessment
AI opportunity map
Prioritised use-case shortlist
Readiness findings
Risk and dependency analysis
Human oversight recommendations
Areas where AI should not yet be introduced
Recommended pilot or first implementation area
Preparation actions
Phased 90-day adoption roadmap
Leadership review session
The assessment is scoped according to the size of the business, the number of workflows being examined and the level of stakeholder involvement required.
The scope, delivery period and fixed fee are confirmed after an initial fit conversation.
Who this assessment is for
An established business that wants to explore AI responsibly
A leadership team that does not know where to begin
A company running disconnected AI experiments
A team considering AI tools or training but lacking a defined use case
A business that wants to avoid unnecessary software investment
An organisation that needs clarity on risk, ownership and human oversight
A non-technical team without an internal AI transformation function
A request for generic prompt training
A pre-selected tool that only needs technical installation
A fully defined automation build
A demand for guaranteed cost savings before assessment
A business seeking AI adoption without stakeholder participation
A business unwilling to examine its current workflow
The assessment is designed for organisations that want to make a sound adoption decision, not simply find a reason to deploy AI.
How the assessment works
Clarify the business context, current AI position and the decisions the assessment must support.
Review relevant objectives, workflows, roles, documents and operational constraints.
Evaluate where AI may create value and whether the organisation has the conditions required to support it.
Compare opportunities based on value, complexity, risk, readiness and dependence on human review.
Present the findings, recommended starting point, preparation actions and phased adoption roadmap.
The assessment provides decision clarity and adoption direction. It does not automatically include software procurement, implementation or technical development.
What this prevents
A structured assessment helps the organisation avoid expensive or disruptive AI activity that begins without a clear operational case.
AI adoption becomes more defensible when the organisation can explain why a use case has been selected, what conditions it depends on and who remains accountable for the result.
Where to start
You have not introduced AI systematically.
Start with the full AI Opportunity Readiness Assessment.
Your teams are experimenting, but there is no shared direction.
Use the assessment to compare current experiments, identify duplication and establish priorities.
AI is already operating inside an important workflow.
The Workflow Stability Audit may be the more appropriate starting point.
Explore the Workflow Stability Audit →Before you invest in AI, determine where it belongs.
A structured assessment gives the business a defensible starting point, a clearer view of its readiness and a practical roadmap for controlled adoption.