Services · Artificial intelligence
AI is more than a chatbot.
First: be ready. And use AI for something sensible.
Review
2–3 weeks
Rough estimate – I adjust it after our first meeting.
Implementation
4–8 weeks, depending on complexity
Budget
Clear scope and fixed budget before we start
The problem
“We have to do something with AI.”
Many companies feel they “have to do something with AI”, but have no clear picture of what it should actually be used for in the business. Projects start with great enthusiasm – but most lead nowhere.
According to BCG, around 3 in 4 companies have not yet achieved any measurable value from their AI investments – and McKinsey sees that most specialised AI projects get stuck at the pilot stage.
An overlooked detail in the whole AI discussion is security. Are you ready for automated attacks? And which of the projects already under way are worth continuing – or should be stopped?
Examples
AI for real.
Fund management company
Automated media monitoring and fundamental analysis that ranked portfolio companies by market, track record and trends. It freed up analyst time for interpretation and decisions instead of data collection.
John Galt & Partners
I use AI in my own business – for research and administration, and an AI council with 5 agents on different models to get several perspectives. The AI supports, I decide.
Where AI can give something back
More customers (lead generation, marketing automation, smarter CRM), better customer service, better-value suppliers (price comparison, contract monitoring), more efficient internal processes and better decision support.
What is included?
This is what I review.
Evaluation
An independent review of your situation and ongoing AI initiatives: interviews with key people, systems and processes.
Use cases
Realistic use cases that fit your business – and an assessment of where AI actually creates value.
Prioritisation
Concrete recommendations: what should be prioritised, developed further or discontinued.
Implementation
If you want to go further: from data strategy and integration to testing and deployment.
What you get
As a deliverable, you get a report with clear action steps and an implementation plan – not something that just gathers dust on a shelf.
How it works
Timeframe: 2–8 weeks
Rough estimate – I adjust it after our first meeting.
Review, 2–3 weeks
Mapping of the business, the right use cases and a clear scope.
Implementation, 4–8 weeks
Depending on complexity – from data strategy and integration to testing and deployment.
Scope and budget are always set before the work begins.
What do I need from you?
- A non-disclosure agreement (NDA), signed before anything starts.
- Short conversations with key people.
- Insight into systems, processes and the AI initiatives already under way.
Next step
Want to use AI for something sensible?
Guarantee: if I don’t add value, you get your money back. I don’t sell hours.