One questionnaire type and up to three source collections
80–120 test questions
Citations, gap detection and a controlled approval workflow
Agreed Word/Excel export, documentation and handover
Tenders and security questionnaires keep asking similar questions while the answers are scattered. In the pilot, AI drafts answers from your approved knowledge, with evidence and visible gaps that your team reviews.
Starting point
Outcome
After the pilot, a new questionnaire of the agreed type starts with answer drafts from approved knowledge. Your team reviews evidence and open points instead of searching for every answer again.
Data or integration path still unclear? The AI Opportunity Check evaluates one specific workflow and its prerequisites.
View opportunity checkPilot scope
One questionnaire type with up to three source collections, 80–120 test questions, evidence references, gap detection and an export to Word or Excel.
Extensions
Process
We start with one questionnaire type and your previous answers. Every statement needs approved evidence; if it is missing, a follow-up question is raised instead of an invented answer.
Define the questionnaire type, existing answers and subject-matter owners.
Add current product documents, evidence and approved statements to the collection.
Evaluate source support, open questions and export using an agreed test set.
Process new questionnaires and reuse approved answers under control.
Scope and investment
Starting price for one questionnaire type. Further templates or portals increase the scope; legal review and autonomous submission are not part of the pilot.
Not sure yet whether the pilot pays off? The AI potential check (from €3,900 excl. VAT) answers that first.
Delivery starts once agreed data, access and stakeholders are available. The binding scope and price are defined in your proposal. Hardware, hosting, model consumption, licences and ongoing operations are quoted separately. Follow-on projects are costed against reusable results. We credit the pilot price when you commission the production rollout; there is no requirement to purchase every stage. A pilot concludes with a quality report and an evidenced recommendation to proceed or stop. A documented no-go is a valid outcome. Production approval and ongoing operations are agreed separately.
All prices are net and exclude statutory VAT. The offers are addressed to businesses.
Create answer drafts for one questionnaire type from approved knowledge, with evidence and visible gaps.
Credited against the production rollout. You receive the proposal for it with the acceptance report.
4–8 weeks
Outcome and verification: Business-reviewed answer drafts with evidenced statements and clearly marked open issues.
After the pilot
The pilot ends with a recommendation: move to production, extend or stop. You receive the proposal for the production rollout with the pilot's acceptance report, and the pilot price is credited against it; rules, test set and pipeline are reused.
Scope, integration and subject-matter responsibility.
Reviews & projects
From a knowledge base with an AI assistant and local AI integration to data sovereignty and ongoing operations.
The knowledge from many years in the solar industry lived in the head of our former managing director, and it still lives in the heads of our employees today. We wanted to secure it, not as a folder full of notes, but in a way that lets us ask questions in daily work and get reliable answers. WZ-IT advised us from the start and weighed different approaches and knowledge management systems against each other with us before we decided. What was built is a custom knowledge base with an AI assistant that brings together conversations, notes, documentation and manuals: from the platform through onboarding our team to support in operation. Conversations are transcribed and facts are extracted; we review and correct everything ourselves before it is stored, because we do not want to trust an AI blindly. The system runs in our own environment, and the data stays with us. What surprised us was how efficient it was: WZ-IT used existing open-source software and extended it specifically for our requirements, instead of selling an expensive custom build from scratch, as is often usual with IT service providers. Timo and Robin understood our actual problem, preserving knowledge during the generational handover, and implemented it step by step: from the proof of concept through setup and validation with our own data to productive operation, explaining everything clearly along the way. Next, we want to extend this to the knowledge of our employees, so that this does not depend on individual people either.
Joshua von AmelnManaging Director, solarwerkstatt berlin GmbHInternational
WZ-IT designs, develops and operates infrastructure and software for clients in Germany and internationally. We deliver projects remotely and continue supporting them in ongoing operations after go-live.

Enquiry
Briefly describe your starting point, data and target system. We assess whether the pilot fits and what additions are needed.
