W D
EU AI Act: Not High Risk Q2

Probation Management Agent

Never miss a probation deadline - structured tracking from day one to confirmation.

Tracks probation deadlines, triggers structured feedback sessions, and ensures timely, documented retention decisions before expiry.

Analyse your process
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Assessment

Agent Readiness 71-78%
Governance Complexity 38-45%
Economic Impact 44-51%
Lighthouse Effect 24-31%
Implementation Complexity 28-35%
Transaction Volume Monthly

What This Agent Does

Probation periods are legally significant windows: they define shorter notice periods, different dismissal rules, and in many jurisdictions, the point at which full employment protection begins. Missing the probation end date without a formal decision can have legal and operational consequences. The Probation Management Agent tracks every active probation period from start date to decision. It calculates end dates per jurisdiction and contract type, schedules interim review milestones (30-day, 60-day, 90-day check-ins or equivalent), sends reminders to managers at configurable intervals, collects structured feedback at each milestone, and escalates when the final decision deadline approaches without a recommendation. The agent does not decide whether to confirm, extend, or terminate - that is always a human decision. It ensures the process happens on time, with documentation, and with the legal requirements met. For managers handling multiple new hires, the automated tracking prevents the common scenario where probation periods expire by default because nobody was tracking the dates.

Micro-Decision Table

Human
Rules Engine
AI Agent
Each row is a decision. Expand to see the decision record and whether it can be challenged.
Calculate probation end date Determine probation duration per contract type and jurisdiction Rules Engine

Statutory and contractual rules per employee profile

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Schedule review milestones Set interim review dates (30/60/90 day or equivalent) Rules Engine

Standard milestone schedule per probation duration

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Send milestone reminders Notify manager of upcoming review dates Rules Engine

Calendar-based notifications at configurable lead times

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Collect milestone feedback Request structured assessment from manager at each milestone AI Agent

Automated feedback form distribution and collection

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Track feedback completion Monitor whether manager has submitted assessment Rules Engine

Completion tracking with escalation for non-response

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Alert on approaching end date Escalate when final decision deadline is near without recommendation Rules Engine

Deadline-based escalation to manager and HR

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Record probation decision Confirm, extend, or terminate probation Human

Human decision with legal significance

Decision Record

Decider ID and role
Decision rationale
Timestamp and context

Challengeable: Yes - via manager, works council, or formal objection process.

Trigger downstream actions Initiate confirmation letter, contract change, or exit process Rules Engine

Automated workflow trigger based on decision outcome

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Archive probation documentation Store all reviews and decision with retention compliance AI Agent

Automated archival with correct retention period assignment

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Decision Record and Right to Challenge

Every decision this agent makes or prepares is documented in a complete decision record. Affected employees can review, understand, and challenge every individual decision.

Which rule in which version was applied?
What data was the decision based on?
Who (human, rules engine, or AI) decided - and why?
How can the affected person file an objection?
How the Decision Layer enforces this architecturally →

Prerequisites

  • Probation duration rules per contract type and jurisdiction
  • Manager access to feedback forms and decision interface
  • Integration with employee master data and contract system
  • Notification infrastructure for reminders and escalations
  • Document management for probation record archival
  • Works council notification requirements for probation outcomes

Governance Notes

EU AI Act: Not High Risk
Not classified as high-risk under the EU AI Act - the agent tracks timelines and collects feedback without making employment decisions. However, the probation decision itself has significant employment law implications. The agent must ensure that works council notification requirements (where applicable) are met for probation terminations. Documentation must comply with local employment law requirements. GDPR applies to the performance feedback collected during probation reviews.

Infrastructure Contribution

The Probation Management Agent builds the milestone tracking and manager feedback collection infrastructure that the Performance Review Documentation Agent and Promotion Process Agent reuse. The pattern of scheduled human decisions with escalation for missed deadlines applies to many HR processes. Builds Decision Logging and Audit Trail used by the Decision Layer for traceability and challengeability of every decision.

Does this agent fit your process?

We analyse your specific HR process and show how this agent fits into your system landscape. 30 minutes, no preparation needed.

Analyse your process

What this assessment contains: 9 slides for your leadership team

Personalised with your numbers. Generated in 2 minutes directly in your browser. No upload, no login.

  1. 1

    Title slide - Process name, decision points, automation potential

  2. 2

    Executive summary - FTE freed, cost per transaction before/after, break-even date, cost of waiting

  3. 3

    Current state - Transaction volume, error costs, growth scenario with FTE comparison

  4. 4

    Solution architecture - Human - rules engine - AI agent with specific decision points

  5. 5

    Governance - EU AI Act, works council, audit trail - with traffic light status

  6. 6

    Risk analysis - 5 risks with likelihood, impact and mitigation

  7. 7

    Roadmap - 3-phase plan with concrete calendar dates and Go/No-Go

  8. 8

    Business case - 3-scenario comparison (do nothing/hire/automate) plus 3×3 sensitivity matrix

  9. 9

    Discussion proposal - Concrete next steps with timeline and responsibilities

Includes: 3-scenario comparison

Do nothing vs. new hire vs. automation - with your salary level, your error rate and your growth plan. The one slide your CFO wants to see first.

Show calculation methodology

Hourly rate: Annual salary (your input) × 1.3 employer burden ÷ 1,720 annual work hours

Savings: Transactions × 12 × automation rate × minutes/transaction × hourly rate × economic factor

Quality ROI: Error reduction × transactions × 12 × EUR 260/error (APQC Open Standards Benchmarking)

FTE: Saved hours ÷ 1,720 annual work hours

Break-Even: Benchmark investment ÷ monthly combined savings (efficiency + quality)

New hire: Annual salary × 1.3 + EUR 12,000 recruiting per FTE

All data stays in your browser. Nothing is transmitted to any server.

Probation Management Agent

Initial assessment for your leadership team

A thorough initial assessment in 2 minutes - with your numbers, your risk profile and industry benchmarks. No vendor logo, no sales pitch.

30K120K
1%15%

All data stays in your browser. Nothing is transmitted.

Related Pages

Decision Layer
Governance layer between AI agent and target system. Every decision documented and challengeable.
Co-Determination & AI
Works council, works agreements, and co-determination as architecture constraint.
HR AI Agents
All HR agent services at a glance.
HR Agent Readiness
7 questions, 3 minutes. How ready is your organisation?
Assessment eBook
15 questions for your leadership team as PDF.

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Frequently Asked Questions

What happens if the manager does not respond to probation review reminders?

The agent escalates through a defined chain: first additional reminders, then notification to the manager's superior and HR. The goal is to ensure a decision is made before the legal deadline - not after.

Can probation periods be extended?

Where legally permissible, yes. The agent supports probation extension as a decision outcome, recalculates the new end date, and continues tracking with updated milestones.

What Happens Next?

1

30 minutes

Initial call

We analyse your process and identify the optimal starting point.

2

1 week

Discover

Mapping your decision logic. Rule sets documented, Decision Layer designed.

3

3-4 weeks

Build

Production agent in your infrastructure. Governance, audit trail, cert-ready from day 1.

4

12-18 months

Self-sufficient

Full access to source code, prompts and rule versions. No vendor lock-in.

Implement This Agent?

We assess your process landscape and show how this agent fits into your infrastructure.