How I work
A clear path from idea to safe, working AI
Good AI projects start with the business, not the technology. My approach keeps every step grounded in your goals, your data and your risk appetite.
Understand
I start with your business, not the technology: your goals, processes, data and constraints, and how your people already use AI.
- Conversations with leadership and key teams
- Map processes, pain points and goals
- Understand current (shadow) AI use
- Review your systems, data and constraints
Define
Turn needs into well-defined use cases with clear owners, success criteria and expected value, then prioritise them.
- Describe each use case: who, what, why
- Define success criteria and expected value
- Assess data sensitivity and risk
- Prioritise by value, effort and risk
Choose
Select the most efficient solution for each use case: an AI service, a custom build or plain automation with no AI at all.
- Compare AI services, custom builds and plain automation
- Weigh quality, cost, lock-in and data protection
- Run a small pilot where it reduces uncertainty
- Recommend one clear option per use case
Deploy securely
Roll out in a way you control, with access rights, data protection, logging and human oversight built in.
- Configure security, access rights and logging
- Integrate with the tools your team already uses
- Keep humans in the loop for key decisions
- Document everything for your team
Enable & govern
Train your teams, put a clear AI policy in place and review results, so adoption sticks and stays safe.
- Train employees with practical workshops
- Put an AI usage policy in place
- Measure adoption and value
- Review and adapt as tools and rules change
AI, or not AI?
The best solution isn’t always AI
AI is powerful, but it isn’t free, and it isn’t always the most reliable answer. Many repetitive tasks are solved better by simple automation or a small change to a process. I recommend whatever solves your problem most efficiently, even when that means less AI.
Ways to work together
Start small, grow with confidence
AI Readiness & Shadow AI Check
A fixed-scope assessment and roadmap. The ideal first step.
In-house workshops
Training in AI best practice and governance for all levels.
Implementation projects
From use-case definition to a secure solution in production.
Ongoing advisory
A trusted AI adviser on call, as a part-time AI lead for your company.
Not sure where to start?
Tell me a little about your company and what you’d like to achieve. The first conversation is free and without obligation.