AI raises questions. Which step takes you forward?

AI Pitstop suits one concrete question. AI Reality Check is for those who have already built an app with AI and want it reviewed. With AI Roadmap we work out with your team where AI makes sense and which steps come first.

You don’t need to make that choice in advance. Tell us briefly what you are dealing with: an idea you want to test, doubts about an app or the need for a plan. In a first conversation we look at which guidance fits. The one-hour sparring session of AI Pitstop is a separate service.

During an AI Pitstop we spend one hour sparring on one concrete AI question. For example: is our idea feasible, which tool fits how we work, or how do we tackle an obstacle in an ongoing project? The conversation can take place online or on site.

You receive a short written summary with concrete action points. That way you can discuss the considerations with your colleagues too. If your question calls for a thorough app review or a plan for the whole organisation, we look at which next step is needed. That falls outside the sparring hour.

An app that works doesn’t tell you enough about its security. You also want to know who can view or change data, how the app handles sensitive information and what happens when something goes wrong. That calls for an assessment of your app and the way you intend to use it.

Lovable has built-in security checks. A human review can complement those by assessing the findings in the context of your application. With AI Reality Check we look at the code and technical setup within the agreed scope. You receive a report with risks, priorities and recommended improvements. This also works for apps built with another AI building tool.

AI Reality Check is a human review of the code and technical setup of your AI-built app. Up front we agree which parts we examine, which access that requires and when you receive the report.

Depending on that scope we look at, among other things, security and access rights, data processing, reliability and maintainability. Can a user, for example, only see the data intended for that user? And can a developer understand and adapt the app later on?

The report describes what we checked, which problems or points of attention we found and what needs attention first. You receive recommended improvements you can act on yourself or with a developer. Implementation is agreed separately.

No. AI Reality Check delivers an assessment and a report within the agreed scope. It is not a security certificate and no guarantee that an app is fully secure or meets all legal obligations.

We make clear what we examined and where the limits of the review lie. That way you know what a finding means and which questions need further investigation. The assessment covers the version and setup we reviewed; later changes may bring new points of attention.

No. We start from the work you want to improve. Sometimes AI helps, but sometimes an existing tool, an integration between systems or a clearer way of working is enough. That can be the outcome of our advice too.

We look at the expected added value, the available data and what the solution asks of your team. A proposal has to fit your day-to-day operations. If you already have a concrete process you want to automate with AI, guidance on AI workflows can be a fitting next step.

AI Roadmap covers preparation, one working day with your team, a strategic advisory note and an online debrief. You receive a concrete, phased step-by-step plan with findings and priorities for your organisation.

During the workshop day we look at your processes and needs with the team in the morning. In the afternoon we examine tools, data flows and AI opportunities in a smaller group. We then write up the advisory note and discuss it with you online.

The day is about your own operations and choices. So it is not a general training in AI tools. Building or implementing a solution is a possible next step that we agree on separately.

We look at which data an application needs, where it ends up, who has access to it and who checks the results. We also discuss which information staff may or may not share with an AI tool.

Ethic.studio brings expertise in responsible AI and data governance: the agreements on data use and responsibilities. Questions around GDPR and the AI Act are considered in the context of your application. Where further assessment is needed, we make that visible. The advice is not a general declaration that a tool or organisation meets all legal obligations.

No. You can act on the action points, the review report or the advisory note yourself, with your own developer or with another partner. You are not obliged to place the implementation with Zenjoy as well.

If you do want further help, Zenjoy can work with you on building, improving or integrating the solution. We agree the content and scope of that next step separately. That keeps it clear what belongs to the guidance and what belongs to the implementation.

Yes. We start from your work processes, your staff and the people you work for. In healthcare, wellbeing and the non-profit sector, the sensitivity of data and the consequences of errors deserve extra attention.

Zenjoy brings experience from digital projects such as S.Tool for KU Leuven and UZ Leuven and the FoodWIN platform. Those projects show our experience with data and day-to-day work processes. Together with Ethic.studio we look at where AI can meaningfully support your context and which agreements and controls are needed. We start with a concrete question from the organisation.