Frequently asked questions
Frequently asked questions about AI in your company
The questions people actually ask before a first AI project: data protection, cost, effort, and what happens if a pilot does not hold.
Can AI be used in a company in a GDPR-compliant way?
Yes. What matters is the choice of model and where the data is processed. APPIQ builds architectures with European hosting or local operation, and settles data processing agreements, access rights and the deletion policy before the first production run.
What does an AI pilot cost?
The price depends on the scope of the process, the systems that have to be connected and how clean the data already is. You get a fixed price for one clearly scoped use case before anything starts, not an open-ended hourly bill. The first call is free.
Do I need my own IT department?
No. APPIQ takes on architecture, development and operations, and works alongside the providers you already have. On your side, one person who genuinely knows the process is enough.
How long until I see a first result?
The initial call is followed by a risk analysis, then a prototype built around exactly one process. You see something running before anyone talks about a rollout. The timeframe is agreed in writing before the work begins.
What happens if it does not work?
That is why the starting point is a scoped pilot rather than a company-wide programme. If the pilot misses the criteria agreed up front, it is not rolled out. You keep the code, the documentation and the knowledge of which route does not hold.
Which processes should be automated first?
Good candidates are tasks that occur frequently, follow clear rules and rest on structured data. Typical entry points are quote and invoice handling, document review, customer enquiries and internal research. Processes with significant legal weight stay under human control at first.
Where does my data live and who owns it?
The data stays yours. Operation runs either in European data centres or on your own infrastructure. Which data a model gets to see is defined and documented per use case, and your data is not used to train third-party models.
What is the difference between an AI agent and a chatbot?
A chatbot answers. An agent acts: it reads data from your systems, makes decisions inside a defined scope and triggers the next steps, such as creating a quote or reviewing a document. That scope, and the points where a human confirms, are defined in advance.
Will I become dependent on the provider?
The code, the architecture documentation and the credentials belong to you. Open standards and interchangeable model providers are preferred so that switching stays possible. If you want, the team that later takes over internally is involved from the start.
Can I stop the project?
Yes. The work is cut into closed stages, each with its own deliverable. After every stage you decide whether to continue. No multi-year commitment is required to get started.
What is the APPIQ Cognitive Engine (ACE)?
ACE is APPIQ's own platform for orchestrating AI-assisted software development. It coordinates specialised agents across the whole lifecycle, from planning through to delivery, and retains decisions and patterns across projects, so each project starts from what the last one learned and stays easy to follow.
How does working together actually start?
You describe your goal and starting position in a free initial call. You then receive a risk analysis showing which processes are worth automating and where the limits are. Only once a use case convinces you is a proposal for the pilot drawn up.
