Skip to content
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
Airbus Volkswagen Shell Renault Evonik Vattenfall Philips KPMG

Milestones via rules, feedback capture via AI, deadline escalation

The agent sets probation milestones deterministically by contract type and role, collects interim feedback via AI-structured question catalogue and escalates rule-based before critical termination deadlines - the decision on continued employment remains entirely Human-in-the-Loop.

Outcome: According to IAB research, around one quarter of all new hires leave the company in the first 6 months; with average recruiting costs of EUR 4,500 to 14,000 per hire, the risk becomes calculable and actionable.

67% Rules Engine
22% AI Agent
11% Human

The architecture turns a regularly forgotten deadline into a structured decision process:

Six months of probation, nobody was watching

Three out of ten new hires leave the company during the probation period. In most cases, not because the selection was wrong - but because for six months no one was watching. No structured feedback, no documented milestones, no deliberate decision at the end. The probation window passes, and with it the only phase in which separation with two weeks of notice and without a written reason is possible.

The 183-day window

This agent follows the Decision Layer principle: each decision is either rule-based, AI-assisted, or explicitly assigned to a human.

The probation period is not a soft get-to-know-you programme. It is a precisely timed decision window under employment law. Across most European jurisdictions, notice periods during probation are reduced to two weeks. From day 183 in many systems, full employment protection kicks in - longer notice, social criteria for selection, reasoned justification. Missing the transition is not paid for in weeks but in months and severance.

The time architecture looks like this:

Day 1         Day 30        Day 90        Day 150       Day 180
|-------------|-------------|-------------|-------------|
Onboarding    1st feedback  2nd feedback  Decision      Period
              due           due           due           ends

Between day 150 and day 180 sits a 30-day window in which the continued-employment decision has to happen. Not should happen - has to. A termination on day 179 with two weeks of notice ends on day 193, after the probation period. Too late.

Why HR loses the overview

A company of 2,000 employees and an 8 percent annual hiring rate has around 13 active probation periods at any time. Over a year, that is more than 150 individual deadlines, feedback dates, and decision points. No shared service centre tracks that reliably in spreadsheets.

The real problem is the information asymmetry. HR knows the deadlines but not the performance. The manager knows the performance but forgets the deadlines. Between them sits a communication gap that only becomes visible when it is too late: on day 178, when HR asks whether employee X is being confirmed, and the manager thinks about it for the first time.

Studies on early attrition show the cost of a failed hire ranges between 33 and 213 percent of annual salary, depending on seniority. A substantial share of this cost does not come from the separation itself, but from the delayed separation: extended ramp-up without prospects, productivity losses in the team, employment-law effort after the probation period has expired.

What the agent changes

The Probation Management Agent solves no motivation problem and no culture-fit issue. It solves a steering problem. Its contribution is structural: it ensures that at every point of the probation period, the right information sits with the right person and the right decision is demanded on time.

Concretely: as soon as an employment contract is recorded in the HR system, the agent calculates the milestones from the start date. It differentiates by contract type and probation duration. By default, it sets checkpoints at 30, 60, 90, and 150 days. The first wave is purely informative - a reminder to the manager to hold the first feedback conversation. From the 90-day checkpoint onwards, the tone turns serious: is documented feedback on record? Are warning signals present - absences, missed training completions, open onboarding tasks?

The critical moment is day 150. Here the agent forces a decision. Not as a recommendation, but as an escalation: if no documented assessment exists by then, parallel notifications go to the manager and HR. The reason is arithmetic: 30 days remain, two weeks of notice must be observed, and in co-determination jurisdictions the works council hearing needs a week - leaving no room for delay.

The difference between a reminder and a process

Calendar reminders already exist. They fail on three points: they have no escalation chain, they do not document, and they do not connect manager and HR in a shared decision process.

The agent, by contrast, builds a documented decision point at every milestone. Feedback is not only scheduled but tracked. The manager rates performance, integration, and development potential in a structured format. HR sees in real time which probation periods need escalation and which are running smoothly. At the end of the probation period, a complete decision trail exists - not as a compliance exercise, but as legally defensible documentation.

For separations: dismissal during probation does not require a reason but does require worker-representative hearing where it applies. Without it, the termination is invalid. The agent ensures the hearing is initiated in time and the required documents are in place.

For confirmations: the agent formally closes the onboarding process and hands over to the performance review cycle. No open milestones, no catching up on missed conversations in month seven.

When this pattern works strongest

Probation management is not a complex AI problem. It is a timing problem with high consequences. Exactly that makes it the ideal entry point for rule-based automation: clear deadlines, defined escalation levels, human decision at the end. The agent takes over the scaffolding - the manager makes the decision. Once this pattern is implemented, it recognises itself across the organisation: in certification monitoring, in the performance review cycle, in every time-driven HR decision. (US: at-will employment changes the legal framing, but the operational challenge of structured 30/60/90-day check-ins is identical; the agent’s milestone tracking applies without change.)

Micro-Decision Table

Who decides in this agent?

9 decision steps, split by decider

67%(6/9)
Rules Engine
deterministic
22%(2/9)
AI Agent
model-based with confidence
11%(1/9)
Human
explicitly assigned
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 →

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

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.

Assessment

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

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

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.

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.

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.