5%
of the enterprise generative AI pilots MIT studied produced a measurable change in revenue or cost.
Source: MIT NANDA, The GenAI Divide: State of AI in Business 2025, preliminary findings
Operance AI
We are an AI consultancy and venture studio for leadership teams, and we turn AI spending into results that show in your numbers. We start from one decision you want made better and work across people, processes and platforms to improve it. Everything we set up is yours, in writing, and you stay free of any one vendor.
Your board is asking what AI has delivered.
Over 40%
of agentic AI projects will be cancelled by the end of 2027, Gartner expects.
Source: Gartner press release, 25 June 2025 (opens in a new tab)
We work in a loop of four steps:
- Intent
- Execute
- Measure
- Learn
Plan it, put it to work, keep improving it.
Transformation
We redesign how your organisation works with AI.
We set the strategy with your leadership team and choose the decisions where AI makes the biggest difference to your results. These can be as everyday as which quotes to chase, what to keep in stock or which customers to call this week. Then we redesign how that work is done.
A strategy you can act on, tied to the decisions it is meant to improve. Each decision we examine gets a clear go or no-go.
Implementation
We put AI to work in your business.
We bring AI into the systems your people already use. We also set up the data and the ways of working that make it part of the daily routine.
AI doing real work in your business, and everything we set up is yours from day one, in writing.
Optimisation
We close the loop, so each cycle improves on the one before.
We measure what changed and feed each result back in. Every lost quote is recorded with its reason, so the next cycle can learn from it.
An advantage that grows with every cycle and is hard for a competitor to copy. Each cycle ends with its before and after results on record.
How the work looks in practice.
Sample case
Which quotes to chase
The sales team sent several hundred quotes a week and followed up on the wrong ones. We chose that one decision, took a starting measurement and put a ranked follow-up list into the system the team already used.
[Result: the change in quotes won, against the starting measurement.]
How we can help: Strategy, Education, Data management and Integrations.
Sample case
What to make and what to keep in stock
The planners worked each week from memory and spreadsheets. We trained a forecasting model on the producer's own order history, tested it on a year it had not seen and now run it, with a Monday screen for the planners.
[Result: the change in lines out of stock, against the starting measurement.]
How we can help: Models, Applications, Monitoring and Managed AI.
Sample case
Which claims need a person
The claims team read every incoming email by hand. An assistant now reads each one, drafts the reply from the broker's own documents and passes unclear cases to a person, inside written limits and with a log of every action.
[Result: the change in claims handled without a person, against the starting measurement.]
How we can help: Generative AI, AI agents, Responsible AI and Security.
Insights
Build the loop that outperforms
How to turn AI spending into results that show in your numbers, with a loop of four steps and a record that stays yours.
The loop in four steps
The four steps of the loop, and why the last one makes the next run start higher.
What stays yours
Anyone can buy the same AI model, but your data, your trained model, your agents and the record of every cycle stay with you, in writing.
People, processes, platforms
The AI Transformation Triangle in plain words, with its three sides and the three layers between them.
Operance AI Studio is where we build.
Operance AI Studio is our venture studio, where we build AI products, tools and workflows. We work free of any vendor and always choose the best tool for the job.
- Anthropic
- OpenAI
- Gemini
- Mistral
- Llama
- NVIDIA
- Hugging Face
- Google Cloud
- Databricks
- Snowflake
- GitHub
- Supabase
The people who set your strategy stay to make it work.
Operance AI is an AI consultancy and venture studio with offices in Den Bosch, the Netherlands, and Melbourne, Australia. The team that sets your strategy also puts it to work and stays with it, so accountability never changes hands. Your proposal names which of us answers to you for the result, and that person is still there at the end. Between the two offices we cover European and Australian working hours.
- Den BoschThe Netherlands
- MelbourneAustralia
Peter Sprenger
[Role]
Arno de Kloet
[Role]
Jonathan Vandionant
[Role]
Sion de Jong
[Role]
Wesley Romeijnders
[Role]
Alex Brown
[Role]
Daniel Lee
[Role]
How to begin
The conversation.We listen first. We ask how you work, where you want to grow and which results you are accountable for. Then we agree which decision to examine first.
The proposal.A written proposal covering what we will do, what it will deliver, what it costs and how the result will be measured. Everything we set up is yours. If you want us to run it and keep improving it once it is live, the proposal prices that too.
The first piece of work.It has a fixed price for a fixed scope. Unless your data has to be produced first, it examines one decision you choose. It works out what improving that decision is worth and what it would take, in numbers your finance team can check. What it produces is yours, whether you continue with us or not.
A consultant replies within two working days.