Find where AI can
make a useful difference.
Understand the work before choosing the technology. We examine agreed workflows, identify practical opportunities and build a roadmap shaped by business value, delivery feasibility and responsible oversight.
Discuss AI diagnosticsThe right starting point.
AI Diagnostics & Roadmap explores agreed workflows to identify and prioritise improvements using AI, automation or simpler process changes.
AI Use & Readiness Review assesses existing AI use or a specific planned adoption, focusing on readiness, suitability and oversight.
Focused AI Governance Audits assess governance arrangements against agreed criteria and evidence.
Start with the support you need. Neither a review nor a diagnostic is a compulsory first step.
Understand first.
Decide with clarity.
Agree the focus
Understand business priorities, choose the workflows in scope and agree the people, evidence and access required.
Agree who owns the work and what information can be shared.
Understand the real work
Interview the people doing the work. Map tasks, handovers, repeated effort, delays, exceptions and decisions requiring human judgement.
Identify where people make decisions and remain accountable.
Identify opportunities
Identify where AI, conventional automation or process improvements could help. Consider existing tools and where change would add little value.
Consider whether AI is appropriate at all, including data and human oversight needs.
Assess and prioritise
Compare potential benefits, data readiness, technical feasibility, implementation and running costs, adoption needs, risks and human oversight.
Make control gaps and dependencies visible before recommending action.
Present the roadmap
Recommend an order of action, dependencies, proposed owners and measures of success. Distinguish opportunities to explore first from those requiring preparation or deferral.
Assign proposed ownership and review points for the next decision.
01Agree the focus
Understand business priorities, choose the workflows in scope and agree the people, evidence and access required.
Agree who owns the work and what information can be shared.
02Understand the real work
Interview the people doing the work. Map tasks, handovers, repeated effort, delays, exceptions and decisions requiring human judgement.
Identify where people make decisions and remain accountable.
03Identify opportunities
Identify where AI, conventional automation or process improvements could help. Consider existing tools and where change would add little value.
Consider whether AI is appropriate at all, including data and human oversight needs.
04Assess and prioritise
Compare potential benefits, data readiness, technical feasibility, implementation and running costs, adoption needs, risks and human oversight.
Make control gaps and dependencies visible before recommending action.
05Present the roadmap
Recommend an order of action, dependencies, proposed owners and measures of success. Distinguish opportunities to explore first from those requiring preparation or deferral.
Assign proposed ownership and review points for the next decision.
Governance throughout: ownership, data handling, human judgement and review inform every stage.
What you receive.
Scope and deliverables are agreed before starting, including the workflows, evidence and team involvement.
- 01A concise executive summary.
- 02Maps of the agreed workflows and their main friction points.
- 03A prioritised opportunity register with reasons for each recommendation.
- 04Indicative benefit and cost estimates, showing assumptions and uncertainties.
- 05Readiness, data and governance considerations.
- 06A phased action roadmap with dependencies, proposed owners and success measures.
- 07Opportunities deferred or ruled out, with reasons.
The diagnostic gives you an assessment and a plan. Implementation is a separate decision.
A roadmap you can use
Take the roadmap forward internally, with your existing provider or through separately agreed Axiom support.
Transparent estimates
Benefit and cost estimates include assumptions and uncertainties. Potential time released does not automatically translate into cash savings.
Separately scoped delivery
Prototypes and implementation are agreed separately after the diagnostic, including the scope, costs and expertise required. Axiom’s technical delivery depends on confirmed capability and delivery arrangements.
Bring your questions.
Find your priorities.
Tell us which workflows you would like to explore. We can discuss whether a diagnostic is the right fit and agree a practical scope.
info@axiomaisolutions.ai