Growing use-case portfolio
Value and feasibility are difficult to compare.
AI transformation for SMEs and mid-market companies
Use AI to improve how your organisation works
I help leaders and business teams identify high-value AI use cases, build a practical roadmap and integrate AI into workflows that teams can adopt.
Discuss your priorities
Starting point
Start with business problems
The number of potential AI applications is growing quickly, but not every idea deserves to become a project. Useful transformation begins with business processes, decisions, pain points, user expectations and available data.
The aim is to build a plan that leaders can assess, teams can deliver and users can put into practice, with measurable business results.
Common situations
Compare AI opportunities before investing
Pilots with no deployment plan
Experiments lack a plan for deployment with clear governance.
Misaligned priorities
Business, technology, data and operational teams pull in different directions.
Low adoption
Tools are available, but ways of working were addressed too late.
The engagement
From discovery to real-world use
- 01
Discovery and assessment
Assess your objectives, processes, user pain points, existing initiatives, data and organisational readiness.
- 02
Value drivers and use cases
Connect each opportunity to a real problem, user and expected outcome.
- 03
Prioritisation
Compare value, cost, feasibility, timing, risk and adoption.
- 04
Roadmap and leadership decisions
Define stages, dependencies, governance, resources, metrics and the decisions leaders need to make.
- 05
Programme leadership
Coordinate business and technical teams, delivery activities and partners.
- 06
Adoption and measurement
Support new practices and measure actual use and value.
Deliverables
Practical outputs to guide decisions and delivery
- Maturity assessment and process map
- Documented use-case portfolio
- Use-case priorities and expected business value
- Transformation roadmap
- Governance framework and programme dashboard
- Adoption and measurement plan
Experience
From portfolio prioritisation to adoption
generative AI initiatives assessed
A shared process in banking to identify, assess and prioritise initiatives, with support for business owners preparing operational and financial decisions.
pre-sales engagements
A consulting service based on Product Discovery principles to define, prioritise and track generative AI initiatives.
FAQ
Frequently asked questions
Do we need to have identified use cases already?
No. We can start by exploring your processes, user needs and objectives with the relevant teams to identify opportunities.
Does this work without an in-house AI team?
Yes. The roadmap reflects your team’s capacity and clarifies what you can manage internally, what partners can deliver and which capabilities you can build over time.
Is this a technical audit?
No. It starts with business value, users, organisation, data, governance and adoption. Technical specialists are involved when required.
Can you support delivery after the roadmap?
Yes. I can continue to lead the programme, coordinate teams, support leadership decisions and help teams adopt new ways of working.
Your context
Build an AI plan that fits your organisation
Share your priorities, constraints and the decision you need to make. We can determine the right starting point together.
Discuss your priorities