Thijs Bongertman · Rotterdam
I build AI and software inside your team until you can run it. From Rotterdam, for companies of 50 to 500 people that lose time to searching and manual work.
Conversations
Notes
Decisions
Earlier plan
New decision
Source retained
What changed
What is open
Where it came from
↓Who I build for now
Nieuwe Stroom
A company brain brings knowledge from documents, notes and decisions together in one place that people can search with AI, with the source next to every answer. I build it with the team, test it on their real questions and help get it into daily work.
Ongoing collaboration.
I work inside the data team on data & analytics: bringing data from different sources together, checking that the numbers add up and turning them into analyses and reports for questions from other departments.
Ongoing collaboration.I guide people in working with AI. In hands-on sessions they use AI for their own tasks and learn when to check an output before building on it.
Ongoing collaboration.Examples
Preparing a meeting, spotting a price change at a competitor and selecting prospects. The data is made up; every result points to its source.
Interactive example · fictional data
What do I need to know before the next project meeting?
The pilot starts with support. Sales comes later. This replaces the earlier plan to start with both teams. [1][2]
Support will provide example questions on . Use these to discuss what the first version needs to answer. [3]
Who will own the knowledge base? The sources do not answer this yet. [3]
Check the changed decision and agree who will maintain the knowledge base.
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Interactive example · fictional data
What is new at competitor Atlas?
Team now lists €59 per user per month, previously €49. An increase of €10. [1][2]
Team now includes a CRM integration. The product update refers to new subscriptions. [2][3]
What changes for existing customers? This has not been published. Check before using it in a customer conversation. [3]
Check the change against the sources. You decide whether your team needs to act.
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Interactive example · fictional data
Which companies resemble our best customers?
Sector, country, team size and online shop match your criteria. A candidate for your shortlist. [1][2]
Sector, country and online shop fit. Team size is unknown, so that criterion cannot be assessed yet. [1][3]
These sources describe companies. They do not say whether anyone needs or wants to buy your product. [2][3]
Check the selection and fill in missing information. You choose who to approach.
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Approach
You know the work, I build the software. Scope, price and end date are in writing before I start.
Show me where your team loses time. We choose one problem and agree how you will know it has been solved.
I build a first version and test it with your own data. What goes wrong counts in the decision whether it goes further.
Who maintains it? Who steps in when something goes wrong? How do you check the next version? Those agreements are part of the handover.
In my memo, I describe what went wrong in earlier projects and what I do differently as a result.
Lessons from 35+ AI projectsThe person behind Honest AI
I build AI systems and software from Rotterdam, after twelve years in data and AI at companies including KPN, Eneco and Free Now. When you talk to me, you talk to the person who builds it. If a job outgrows one person, I bring in one senior I have known for years.
Tell me where your team loses time or lacks information. After the call you know whether I would build it and what the first step is.
30 minutes · free, no obligation
