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AI Readiness and Opportunity Assessment

A structured diagnostic that scores your AI readiness, identifies your highest-ROI use cases, and produces a prioritised roadmap with realistic cost and benefit estimates. This is the right place to start before investing in AI.

The Problem

Most organisations invest in AI before they know if they are ready

The majority of AI projects that fail do so not because the technology does not work, but because the organisation lacked the data quality, governance, or process foundations to support it.

Our assessment gives you an objective view of where you actually stand, which use cases will deliver ROI in your environment, and what foundations you need before you scale.

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What we assess

Data quality and availability - whether your operational data is structured, accessible, and trustworthy enough to feed AI models.

Governance and security gaps - data handling, access controls, and Microsoft licensing configuration for safe AI deployment.

Use-case identification and scoring - every candidate use case scored by business impact, feasibility, data readiness, and expected ROI.

Microsoft licensing strategy - which AI capabilities you already have access to and are not using, versus what additional investment makes sense.

Deliverables

What you receive

A structured report your leadership team can use to make confident investment decisions.

AI Readiness Scorecard

An honest assessment across five dimensions: data, infrastructure, governance, skills, and process maturity. You know exactly where you stand before spending a dollar.

Prioritised Use-Case Register

Every identified AI opportunity ranked by impact and feasibility, with a clear recommendation on which to pursue first, second, and which to defer.

Phased AI Roadmap

A 12 to 24 month roadmap with clear phases, dependencies, cost estimates, and expected ROI for each initiative. Ready to present to your board or leadership team.

High-Value Use Cases

Where AI delivers for regulated operations

The use cases we most frequently identify as high-priority for clients in food, manufacturing, logistics, and regulated industries.

Intelligent Document Processing

Automatically extracting data from invoices, compliance certificates, delivery dockets, and inspection forms, eliminating manual data entry entirely.

Typical: 200+ manual hours per month eliminated

Microsoft 365 Copilot Deployment

Meeting summaries, email drafting, document generation, and process guidance across Teams, Outlook, and Word for your entire organisation.

Typical: 1 to 2 hours recovered per person per day

Predictive Maintenance

Using historical inspection and sensor data to predict equipment failures before they cause unplanned downtime and costly emergency repairs.

Typical: 20 to 30% reduction in unplanned downtime

Compliance Risk Detection

Proactive identification of compliance risks, overdue actions, and audit gaps before they become incidents or regulatory findings.

Typical: 78% reduction in overdue compliance tasks