Services

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.

How the service creates value

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
Business prioritiesAI activity without directionData and governance gaps
1Dynamics deliveryStrategy and use casesPeople and governance
Operational outcomesShared readiness baselineResponsible priorities

Every design decision connects a stated priority to an outcome the business can observe.

When change becomes necessary

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.

What we deliver

AI Readiness Assessment, applied to real work.

Start where the business value is clearest, then build a platform and operating model that can evolve.

AI Readiness Assessment

Strategy & use cases

Connect AI opportunities to business priorities, measurable outcomes, investment appetite and operating risk.

AI Readiness Assessment

People & operating model

Assess leadership alignment, skills, decision rights, adoption readiness and ownership for AI-enabled work.

AI Readiness Assessment

Governance & security

Review responsible AI principles, human oversight, compliance, privacy, identity and information protection.

AI Readiness Assessment

Data foundations

Evaluate quality, access, lineage, integration, knowledge sources and the controls required for trustworthy grounding.

AI Readiness Assessment

AI platform readiness

Assess architecture, environments, model lifecycle, evaluation, observability, scalability and cost controls.

AI Readiness Assessment

Prioritised roadmap

Sequence quick wins, foundation work and longer-term initiatives with clear owners and decision gates.

What better looks like

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.

Client testimonials

Trusted when the work matters.

Trusted for Microsoft delivery, complex enhancement and ongoing support.

Support partnership
Exceptional round-the-clock support without compromising quality.
Robert DaveyCorporate Applications & Integration, General Manager
  1. Exceptional round-the-clock support without compromising quality.Robert Davey, Corporate Applications & Integration, General Manager, Programmed
  2. Deep technical expertise and unwavering commitment to success.Jennifer Martiz, GM Finance & Operations Solutions, Barhead Solutions
  3. A key partner for D365 Finance & Operations delivery.NRW Team, Dynamics 365 Finance & Operations, NRW Holdings

Start a conversation

Bring the ai readiness assessment need. Leave with a practical next step.

Share the current platform, operational pressure and outcome you need. We will help define the right scope, priorities and delivery path for ai readiness assessment.

AI Readiness Assessment conversationNo pressure. Clear practical guidance.
01
You shareThe current reality

The platform, process, risk and business impact behind the request.

02
We exploreThe right service focus

Scope, dependencies, controls and the Microsoft capability required.

03
You leave withA clear starting point

A focused assessment, workshop or delivery action linked to the outcome.