Too many possibilities
Your team has ideas but no consistent way to judge what deserves investment.
AI Advise — Find the opportunity
Make informed decisions about where AI can improve performance, save time and support growth.
Start a conversation →Who it's for
A practical response to your business challenges
For leadership teams who recognise the potential of AI but need to identify where it can create genuine commercial value.
Uncoordinated experimentation
Different departments are trying tools without a common strategy or governance.
Uncertain return
You need a credible business case before committing budget or changing processes.
What we do
How we work with you
1. Executive discovery
Understand strategy, operating challenges, systems, data and commercial objectives.
2. Process and opportunity mapping
Work with teams to find repetitive tasks, bottlenecks, delays and opportunities for better decisions.
3. Readiness and risk review
Assess data quality, technology constraints, security, governance and employee adoption.
4. Prioritised roadmap
Rank candidate use cases by value, cost, complexity, feasibility and risk.
Business benefits
What your organisation stands to gain
Clear priorities
Know where AI is most likely to create value and where it isn't appropriate.
Better investment decisions
Compare initiatives using realistic costs, assumptions and potential benefits.
Leadership alignment
Give decision-makers a shared understanding of the next steps.
Deliverables
What you'll receive
Opportunity register
A structured list of candidate use cases and their business rationale.
AI readiness findings
An assessment of key blockers, dependencies and risks.
90-day roadmap
Recommended initiatives, sequencing, ownership and success measures.
Executive presentation
A concise briefing to support leadership decisions.
Engagement model
AI Opportunity Assessment
Typically two to three weeks. Each engagement starts with agreed scope, responsibilities and success criteria.
Indicative £2,500–£7,500. Pricing is an initial hypothesis, not a fixed public quote.
Ready to explore AI Opportunity Assessment?
We'll discuss your business objectives and recommend a proportionate starting point.
Discuss your requirements →Typical starting questions
The decisions we help leadership teams make
Where should we start?
Identify processes where frequency, manual effort and information needs create realistic opportunities.
What should we avoid?
Consider sensitive data, unreliable outputs, regulatory requirements and tasks requiring human judgement.
What would success look like?
Define baseline performance, owners, investment assumptions and meaningful measures of improvement.
Inside the engagement
What an AI Opportunity Assessment looks like
01
Leadership briefing
Agree commercial priorities and clarify what current AI can and can't do.
02
Process discovery
Interview relevant teams and map friction, systems and information flows.
03
Opportunity evaluation
Score ideas against value, feasibility, risk, data and readiness.
04
Decision workshop
Review recommendations, ownership, potential pilots and a 90-day action plan.
Example: A professional services firm may discover that searching previous project material and assembling recurring proposals consumes significant consultant time. Advise would establish the baseline, review information access and recommend whether a knowledge assistant or process redesign merits a Lab sprint.
What you leave with
A decision-ready set of outputs
Opportunity register
A prioritised list of use cases with business rationale, dependencies and indicative complexity.
Readiness assessment
A clear view of data, systems, skills, governance and change barriers.
Business case assumptions
A framework for estimating time savings, cost, quality and potential commercial impact.
90-day action plan
A sequenced set of next steps, responsible owners and proposed measures of success.
Need a practical AI roadmap?
Let's identify the opportunities that deserve investment — and the ones that don't.