AI Readiness Assessment & Planning

AI Readiness: The Foundation for Success

Most AI projects fail because organisations skip readiness assessment. We evaluate your data, technology, people, and processes so you can adopt AI confidently.

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68%

of AI projects fail without readiness planning

5-7x

ROI improvement for planned implementations

4-6 weeks

typical assessment timeline

AI readiness assessment and team collaboration

Dimensions Assessed

What is AI Readiness Assessment?

An AI readiness assessment evaluates your organisation's ability to successfully deploy and adopt AI. It identifies gaps across six critical dimensions and creates a prioritised roadmap to address them.

Most organisations rush into AI without understanding if they're actually ready. Poor data quality, siloed systems, missing governance, concentrated skills, and unclear use cases are the norm. An assessment prevents false starts, saves time, and gives you a clear path to AI success.

We've seen businesses spend £100,000 on AI tools only to discover data fragmentation prevents meaningful insights. We've watched teams get trained but unable to identify valuable use cases. An assessment prevents these costly mistakes by fixing the foundation first.

Six Dimensions

What We Assess

We evaluate your organisation across six interconnected dimensions, not in isolation.

Data Assessment

Evaluate data quality, accessibility, and governance readiness.

Data profiling & quality analysis

Accessibility across systems

Compliance & privacy review

Infrastructure Readiness

Assess cloud maturity, system connectivity, and scalability.

Cloud adoption status

API connectivity review

Security infrastructure

Skills & Capability

Evaluate team readiness and skill gaps for AI adoption.

Data literacy assessment

Technical capability review

Training needs analysis

Governance & Risk

Review policy, compliance, and control frameworks.

Governance policies

GDPR & compliance readiness

Risk management

Organisational Readiness

Assess culture, leadership alignment, and change capability.

Leadership alignment

Change readiness

Cross-functional collaboration

Use Case Identification

Identify high-value, realistic AI opportunities for your business.

Use case discovery

ROI analysis

Implementation roadmap

Common Patterns

What We Typically Find

After assessing dozens of UK organisations, recurring patterns emerge.

Data Quality & Silos

Most organisations have fragmented data with quality issues across separate systems. AI needs clean, connected data.

Impact: Prevents AI model accuracy and insight generation

Missing Governance

Few SMBs have formal data governance. Data ownership is unclear and accountability is missing.

Impact: Creates compliance risks and limits scalability

Concentrated Skills

AI knowledge lives with one or two people. Broader business lacks AI literacy and use case identification.

Impact: Creates bottlenecks and limits adoption across teams

Our Approach

How We Deliver Assessment

A structured 4-6 week process that evaluates readiness and creates a clear roadmap for success.

Evaluate Readiness

We profile your data, interview stakeholders, assess infrastructure and skills, and analyse governance gaps.

Identify Opportunities

We facilitate workshops to identify high-value AI use cases, assess ROI potential, and determine dependencies.

Create Action Plan

We deliver a 12-month roadmap with quick wins, gap remediation steps, and a detailed first pilot proposal.

Support Implementation

We help execute the roadmap, starting with the pilot programme, or support your internal team.

£15-30k

Assessment investment

FAQ

Frequently Asked Questions

Common questions about AI readiness assessment.

How much does an AI readiness assessment cost?

Typical assessments for mid-market organisations range from £15,000 to £30,000. This includes 4-6 weeks of work, workshops, and a detailed roadmap. The ROI is typically recovered within the first pilot programme.

What's the timeline for the full assessment?

4-6 weeks is typical: Week 1 for kick-off and discovery, Weeks 2-3 for technical deep-dives, Week 4 for use case workshops, Weeks 5-6 for reporting and roadmap development.

Do we need to involve IT?

Yes. We need both IT expertise (infrastructure, data, security) and business stakeholders (processes, pain points, priorities). The best assessments include IT, operations, finance, and leadership.

What happens after the assessment?

You have options: use the roadmap internally, engage us to execute it starting with the pilot, or use it purely to build a business case for investment. The assessment stands alone.