An application round
Meet Tiago.
Tiago coordinates vocational training at a regional public body. Every new programme brings a regulation, a platform and hundreds of applications to review.
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The round opens. In ten days, 320 applications arrive, each with 6 to 12 documents.
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The team checks age, qualifications, employment status and missing documents, one by one.
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With classes defined, the timetable puzzle begins: trainers, rooms and availability.
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400 open-ended survey answers arrive. Nobody has time to read them all.
The challenge
Clear rules, manual work.
Eligibility is written in the regulation. The data is on the platform. What is missing is someone to connect the two — and that takes weeks of specialist time.
25 min
per application spent on eligibility checks
3 wks
to finalise timetables for a new round
10%
of open survey answers ever get read
Estimate Illustrative figures based on typical scenarios. Every assessment establishes your organisation's actual numbers.
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Scattered criteria
Regulations, ordinances and technical guidance in different documents, updated frequently.
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Hard timetables
Dozens of constraints: shared trainers, rooms, transport, evening classes.
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Unheard feedback
What learners write in surveys rarely reaches the people who decide.
What changes
AI reads the regulation and the application — and shows why.
With MCP servers connected to the application platform, the school management system and the regulations repository, the assistant pre-screens and justifies every finding. The final decision belongs to the team.
Today
- Each criterion checked by hand
- Document requests sent one at a time
- Timetables built in spreadsheets
- Surveys summarised only as numbers
- Families waiting for answers about enrolments and fees
With AI connected through MCP
- Eligibility pre-screening with justification
- Document requests grouped and approved
- Timetable proposals that respect every constraint
- Themes and suggestions drawn from open answers
- Replies to families prepared from the child's record, for approval
Guided demonstrations
Two tasks that no longer take weeks.
Choose a demonstration. Decisions about applicants and timetables always remain with the team.
Application pre-screening — Vocational training (simulation)
Processed in the EUTiago has 320 applications to review by Friday.
MCP calls
0- Applications
- Regulations
Simulation with fictitious data. No real system is contacted.
Timetable building — Training centre (simulation)
Processed in the EUAna, a learning officer, needs timetables for 12 classes by next Monday.
MCP calls
0- School management
- Trainers
- Rooms
Simulation with fictitious data. No real system is contacted.
Connected systems
The MCP servers behind this solution.
Read connections to the existing platforms; changes (document requests, timetable publication) require approval.
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Application platform
Application portals and programme management
applications.listReadapplications.documentsReadapplications.request_documentsWrite with approval
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Regulations
Regulations, ordinances and technical guidance
regulations.criteriaReadregulations.searchRead
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School and training management
Classes, trainers, rooms and session records
classes.listReadtrainers.availabilityReadtimetables.publishWrite with approval
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Surveys
Satisfaction survey platforms
surveys.responsesReadsurveys.themesRead
Applicant and learner data is processed in the European Union, through our partners, with personal-data minimisation.
Results
Weeks of work given back to the team.
Estimates for a round of around 300 applications and 12 classes.
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Eligibility review per application
Before: ≈ 25 min After: ≈ 7 min
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Timetable proposal for the round
Before: ≈ 3 weeks After: ≈ 2 days
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Open answers analysed
Before: ≈ 10% After: 100%
Estimate Illustrative figures based on typical scenarios. Every assessment establishes your organisation's actual numbers.
Safeguards
Fair, explainable and auditable.
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Explainability
Every eligibility finding states the criterion and the document it is based on.
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Human decisions
AI pre-screens; admissions, exclusions and timetables are decided by the team.
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Data protection
Access only to the data needed, with pseudonymisation wherever possible.
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Processing in the EU
Applicant and learner data processed inside the European Union.
Frequently asked questions
Does the AI decide who is admitted?
No. The AI prepares a pre-screening with the justification for each criterion. The decision always belongs to the technical team, who can confirm or correct it.
What happens when the regulation changes?
Criteria are read directly from the regulations repository through MCP. When the document is updated, the analysis uses the new version — with no reprogramming.
Will it work with our school management platform?
In most cases, yes. We connect through APIs, databases or exports. The initial assessment confirms the best approach.
Which application round would you simplify first?
Show us the regulation and the platform. Within a few weeks we will have a proof of concept running on test data. Private training providers, nurseries and pre-schools can join the founders programme.