About us · The proof is in the eating.

We put our own advice to work.

If we say AI can make work more efficient, we should demonstrate it ourselves. We work with a coordinated agent team, from advice to implementation. Our experts review the work and guide changes, drawing on their experience in business software, architecture and everyday operations.

How we put agents to work See our references

One coordinated way of working

Advisory lens
Clarify the need, value and agreements
Agentic engineering
Configure, connect and test
Human expertise
Review, adjust and approve release

The business model connects advice and delivery. The same agreements guide configuration, review and operations.

Faster code. But does the application work better?

AI can turn new requirements into application code faster. That still creates software you need to understand, test and maintain. Quality shows in real work: are outcomes correct, permissions appropriate and changes manageable? We start with your business model and configure it on the existing APPSS engine. Frontend and integrations receive the development your application needs.

From advice to a working application.

Advisory lens

First understand what the business needs. We consider the process, users, information, risks and costs. Our agents help uncover assumptions and explore options. The people who know the work decide what is correct.

The outcome

A clear business need, a considered choice and testable agreements.

Agentic engineering team

The same agreements guide design, configuration, integrations and testing. Agents help carry out the work and check the impact of changes. Our experts review the behaviour and guide adjustments; the authorised owner decides on acceptance and release.

The outcome

An implementation ready for review, with test results and clear operating agreements.

Meet the roles and their skills

The people behind APPSS

People remain responsible.

AI helps investigate, configure and check. Our expertise connects the parts and judges how the whole works. Content owners confirm business rules; technical and user tests support release. New insights feed back into the same agreements.

David Smits: Lead Architect; Business knowledge graphs and agent training
Rolf de Jong: Former CTO of AFAS; Business software and modelling
Bob Nieme: Business Innovation; The business need

Read about our experience and the origins of APPSS

More efficient work should be reflected in the price model.

Our coordinated agent team and existing engine help limit repeated work and keep our delivery costs low. You benefit through pricing per APPSS environment. More colleagues do not mean extra APPSS user licences. Development, setup, usage and external services follow the agreed scope.

Thirty people working together. Why pay thirty times for the same APPSS foundation?

See environment pricing

The return shows in everyday work.

A fast analysis or a useful report can create value. A business application also needs to move the work forward. Look at resolved requests, correct decisions, less rework and the full cost of use and operations. We review those outcomes using real work situations.

What about the AI assistants you already use?

Claude, ChatGPT and Microsoft 365 Copilot can help with writing, analysis and reports. Whichever AI you choose, its practical value depends on the task and outcome. APPSS focuses on the data, rules and permitted actions that make your business process work.

Expertise makes the difference

Agents contribute. Experienced people keep the overview.

We use AI in our own advisory and implementation work. Your people contribute business knowledge; our team reviews coherence, quality and change. The agreements remain recognisable in the application.

Put the approach to work on your own process.

Bring one process, a normal situation and an exception. We will discuss what can improve, how to test it and the full cost.

Start with your business process See our references