Direct answer
The AI training readiness check helps organisations assess how well the team and the organisation are prepared for an AI training programme. The tool works without registration, explains every input and exposes all assumptions. The specific angle on ki-schulung.co is role-based AI training with real transfer into daily work instead of passive attendance.
User problem
HR and department heads often have a feeling for training need but no structured view of data availability, tool access and management backing. The tool brings the relevant inputs together, exposes open questions and creates an exportable result. Value is delivered before any call to action. Booking remains optional after the result.
Inputs
| No. | Field | Type | Validation |
|---|---|---|---|
| 1 | target audience and roles | Input or selection | Explain before evaluation |
| 2 | data availability and approvals | Input or selection | Explain before evaluation |
| 3 | tool access and licences | Input or selection | Explain before evaluation |
| 4 | management support | Input or selection | Explain before evaluation |
| 5 | practical transfer plan after training | Input or selection | Explain before evaluation |
Result logic
Each criterion is marked open, partly clarified or clarified. The result is guidance, not certification or legal review. Open items are sorted by risk and dependency. The primary output is a concrete action list with an owner and a date before the training.
Result states
| State | Display | Recommendation |
|---|---|---|
| Missing input | mark missing fields directly | do not simulate a result |
| Result available | show assumptions, criteria and result together | review and export as text or print view |
| High uncertainty | show open assumptions above the result | clarify data, access or ownership before the training |
| Next step clear | show prioritised actions and owners | schedule handoff or booking |
Privacy and accessibility
Inputs are not stored server-side without an explicitly commissioned backend. Do not request sensitive data. Fields need visible labels, understandable errors and logical focus order. Tables must scroll on small screens. Result meaning cannot depend on colour alone.
Questions and responses
What is the result based on? Only the visible inputs and documented logic. There are no hidden benchmarks.
Is the result a quote or legal assessment? No. It is guidance for the next internal decision. A quote follows only after scope clarification.
What happens after the tool? Users can export the result, open the relevant service or voluntarily book a discovery call.
FAQ
Is the AI training readiness check free? Yes. The core function should be available without registration.
Do I need to enter contact data? No. Contact data is needed only for a voluntary booking or explicitly requested delivery.
Are the results binding? No. The output is transparent guidance based on the inputs.
Can I share the result? Yes. A print view and local text export are planned; sensitive values must not be placed in a public URL.
Service connection
The tool connects to /en/ki-schulung and https://cal.com/jamboula/ai-hackathon. Jamboula is the transparent operator. Each domain provides standalone value and no artificial link structure.