AI systems for your company's own tasks
We build tailored AI solutions for knowledge-intensive tasks that manual workarounds or off-the-shelf software fail to solve well.
The delivery starts from the business need and the people who will use the solution. It might be an internal assistant, an analytics platform, a specialised sales tool, or automation across your existing software.
What’s included.
We define the scope, build the solution, and follow it after launch.
- 01Mapping the task, users, sources, and goals for the solution
- 02A scoped prototype that validates the most important feature early
- 03Custom interface, data model, and AI instructions
- 04Integration with documents, CRM, ERP, email, APIs, and other systems
- 05RAG, search, and structured knowledge when the solution must work with your own data
- 06Human approval and clear control points where needed
- 07Choice of model, hosting, and access control based on data and usage
- 08Monitoring, maintenance, and further development after launch
How the solution is adapted to the task
The prototype must prove the most important feature. The finished solution is adapted to your employees' tasks and the software your company already uses.
- 01We describe the task and the improvements you want
- 02A scoped prototype tests the most important assumption
- 03The solution gains access to the necessary knowledge and context
- 04Critical decisions can require human approval
- 05The result is delivered in the software the employee already uses
- 06Errors, models, and changing needs are followed after launch
The result is custom software where AI is part of the overall solution and connects with the employee's other tools.
Examples of implemented solutions.
Results from comparable engagements.
We agree on the goals based on the task and track whether employees use the solution and whether it improves their work.
- 01A solution tailored to the actual task
- 02Your company's sources and software brought together in one interface
- 03A proven path from prototype to stable solution
What our clients say.
Our clients describe their experience with the collaboration, the delivery and the use of the solutions.
At Mighty Admins, we have really enjoyed working with Wiinholt & Associates. They have been very proactive with ideas and the development of campaign material, despite our otherwise somewhat complex 'product'. On top of that, they have always been available for adjustments and sparring on the campaigns.
We invite potential customers to a demo of our AI visualization tool — and it opens doors that are otherwise hard to get through. In the meeting, we generate displays with the customer's own brand in real retail environments, live. People can see themselves in the solution right away. It has made our sales conversations significantly more concrete — and the hit rate on first meetings has clearly improved.
At BC Emballage, we have been very happy with our collaboration with Wiinholt & Associates. They have shown professionalism, great service and short execution times — things that are essential in a company like ours. They have moved us incredibly far in terms of our digitalization and the way we work with data. Our warmest recommendations.
Frequently asked questions.
Answers to the most common questions about ai systems.
Which AI systems do you build?
We build internal assistants, analytics platforms, research tools, conversational knowledge bases, and automations across existing software, among other things. Projects start from a well-defined task and a clear business need.
How does an AI project start?
We define one task, its users, the necessary sources, and the success criteria. We then build a narrow prototype so the most important assumption can be tested before the solution is expanded.
Can the solution use our own documents and data?
Yes. We can integrate documents, databases, CRM, ERP, email, and APIs. When the task requires it, we build search or RAG so the AI system can work with your company's own knowledge and cite the relevant context.
Can the AI system run privately or in the EU?
Yes. Model, hosting, access control, and data processing are chosen based on the sensitivity of the material and its use. Some solutions can use a managed EU service, while others require a more contained or self-hosted setup.
What happens after launch?
We agree on monitoring, maintenance, and further development after launch. AI models, sources, and tasks change, so the solution must be followed and adapted over time.
Is AI always the right solution?
No. Some tasks are better solved with ordinary automation or improvements to existing software. The discovery phase should determine which technical solution is simplest and most robust.
Talk to us about the next engagement.
Tell us about a task that takes too much time or limits your business. In 25 minutes, we can assess whether it is suited to an AI solution.