01
Understand the business
Identify current problems, repetitive work and opportunities for improvement.
Back to Guides
AI & Automation7 min read
Building an AI Roadmap
A practical approach to identifying opportunities, managing risk and introducing AI in a structured way.
Start With Strategy
Do not begin with the technology.
A useful AI roadmap starts with business goals, operational challenges and measurable outcomes.
The aim is not to use AI everywhere. It is to identify where AI can create meaningful value without introducing unnecessary risk or complexity.
A strong roadmap answers:
Why are we using AI?
Where will it create value?
What risks must be managed?
How will success be measured?
Four-Step Roadmap
Move from opportunity to implementation.
02
Choose valuable use cases
Prioritise opportunities based on value, effort, risk and business impact.
03
Assess readiness
Review your people, data, technology, security and governance.
04
Run a controlled pilot
Test one practical use case with clear ownership and human oversight.
AI Readiness
Check whether your organisation is ready.
Before implementation, review the areas that will influence success, risk and long-term adoption.
1
Business strategy
2
People and skills
3
Data quality
4
Technology
5
Cybersecurity
6
Governance
Keep It Controlled
Start small. Prove value. Scale responsibly.
A pilot should solve one clear problem, use approved data and include defined ownership, controls and human oversight.
One clear use case
Defined success measures
Approved data access
Human approval points
AI Readiness Assessment
Build your roadmap with confidence.
Assess your strategy, data, technology, governance and implementation readiness before moving forward.
Start Assessment