AI Readiness Assessment
Evaluate strategy, people, governance, security, data and technology foundations, then turn the findings into a practical roadmap for high-value AI adoption.
Establish a defensible AI maturity baseline, prioritise the right use cases and sequence the foundations required for responsible adoption.
We agree the operating problem, the work that must change and the measure of improvement first. Architecture and delivery decisions then stay traceable to those priorities.
Business priorities define the scopeOutcomes remain visible through delivery
Discuss your priorities →From priority to measurable improvementAI Readiness Assessment
Every design decision connects a stated priority to an outcome the business can observe.
Start with the operating friction, not a feature list.
These are common signals that the current platform, delivery model or support approach needs to change.
AI activity without direction
Pilots and tool purchases begin before business value, ownership and success measures are clear.
Data and governance gaps
Quality, access, privacy, security and knowledge sources are not ready for trustworthy AI use.
Unclear path to scale
The organisation lacks a common operating model for evaluation, human oversight, cost and lifecycle management.
AI Readiness Assessment, applied to real work.
Start where the business value is clearest, then build a platform and operating model that can evolve.
Strategy & use cases
Connect AI opportunities to business priorities, measurable outcomes, investment appetite and operating risk.
People & operating model
Assess leadership alignment, skills, decision rights, adoption readiness and ownership for AI-enabled work.
Governance & security
Review responsible AI principles, human oversight, compliance, privacy, identity and information protection.
Data foundations
Evaluate quality, access, lineage, integration, knowledge sources and the controls required for trustworthy grounding.
AI platform readiness
Assess architecture, environments, model lifecycle, evaluation, observability, scalability and cost controls.
Prioritised roadmap
Sequence quick wins, foundation work and longer-term initiatives with clear owners and decision gates.
Outcomes visible in everyday operations.
The measure of a solution is not how much technology was deployed. It is how clearly work, control and decisions improve.
Shared readiness baseline
Leaders understand the organisation’s current strengths, gaps and adoption constraints.
Responsible priorities
Use cases are selected against value, feasibility, risk and data readiness.
Actionable roadmap
Foundation work and AI initiatives are sequenced with clear owners and decision gates.
Trusted when the work matters.
Trusted for Microsoft delivery, complex enhancement and ongoing support.
Exceptional round-the-clock support without compromising quality.
- Exceptional round-the-clock support without compromising quality. Robert Davey, Corporate Applications & Integration, General Manager, Programmed
- Deep technical expertise and unwavering commitment to success. Jennifer Martiz, GM Finance & Operations Solutions, Barhead Solutions
- A key partner for D365 Finance & Operations delivery. NRW Team, Dynamics 365 Finance & Operations, NRW Holdings
Ready to talk about your Microsoft roadmap?
Tell us what you want to improve. In a free 30-minute call, we'll help you work out the clearest next step.