Leaders & beginners
Orientation
Assess opportunities, limitations and suitable areas of use. Outcome: shared terminology and well-founded next steps.
Training & rollout
Your team should understand AI and use it with confidence.
EVORI trains leaders and employees using clear, practical examples: identifying opportunities, checking results and protecting sensitive data. Available as standalone training or as onboarding for your existing AI solution.
The onboarding agreed as part of a workflow project remains included in that project. Standalone or additional training is scoped separately, so the same service is not offered twice.
Three learning objectives. The right starting point for your team.
Departments & employees
Application
Structure tasks, write useful instructions and check AI results. Outcome: tested approaches for your day-to-day work.
Teams with their own AI solution
Rollout
Practise approvals, edge cases and escalation within the actual workflow. Outcome: clear roles and a documented operating and review routine.
What we agree beforehand
Learning objectives, roles, group size, prior knowledge, format, duration and price. We clarify which tools may be used and what preparation the team needs. Confidential data must be reviewed before it is used in exercises.
What your team can put into practice
The agreed exercises and practical guidelines support application at work. Learning assessment and access to individual results are clarified in advance. Training does not replace technical implementation or legal approval; we do not promise a certified qualification here.
When your own solution needs to become part of everyday work.
Training with real cases
The team works with its own workflow and cases, learning to assess drafts, recognise edge cases and make informed approval decisions rather than just watching slides.
Operating documentation & responsibility
We document how the workflow works, its limits and who in the department gathers feedback and maintains escalation rules.
Governance that fits your organisation
Clear rules on which data may pass through the workflow, which cases must never run automatically and how new use cases are reviewed, concise enough to be read.
Measuring impact
Usage and impact are measured against the baseline and evaluated together. Only then is a decision made on scaling.
AI Quest
A shared starting point before you get into the details.
Through realistic missions, AI Quest helps your team develop a shared understanding of when to use AI, fixed rules or human decisions. It is a practical starting point for leadership sessions and learning programmes.
For IT, departments and decision-makers
Four approvals before production use.
This is a review framework, not a security or service commitment that has already been fulfilled. The specific architecture and responsible people are defined for your project.
Approved sourceProcessing & validationHuman approvalTarget system
At every handoff, review access rights, stored data and responsibilities. Providers and storage locations have not yet been selected for your project.
01 · IT + data protection
Data & integration
Which service may process which source?
Document systems, interfaces, test access, data types, providers and regions, access roles and retention periods. Explicitly review model training and subprocessors.
02 · Department + EVORI
Quality & acceptance
When is the workflow good enough?
Agree examples, errors and edge cases, human checkpoints and measurable acceptance criteria. Testing only straightforward success cases is not enough.
03 · Process owners + team
Team & participation
Who uses, reviews and decides?
Document roles and training needs. Involve the works council where applicable. Clarify use of learning and activity data before rollout.
04 · Operator + department
Operations & incidents
What happens if something fails?
Assign responsibility for monitoring, cost limits, backups, recovery, escalation and falling back to the previous process. Record response times in the contract.
Already have a pilot? Discuss the remaining questions →
Enablement works best with a concrete workflow. Already have a solution? We can discuss exactly what your team still needs to use it reliably.