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GoBD-compliant §203 StGB-compliant Q2

Provisions Agent

Calculate, value and post provisions - from leave to litigation costs.

Identifies provision types, calculates leave and bonus provisions deterministically, escalates warranty and litigation cost provisions for human valuation and creates notes disclosures.

Score Dashboard

Agent Readiness 66-73%
Governance Complexity 34-41%
Economic Impact 64-71%
Lighthouse Effect 24-31%
Implementation Complexity 36-43%
Transaction Volume Monthly

What This Agent Does

Provisions bridge the gap between rule-based calculation and commercial judgement. Leave provisions (remaining entitlement times daily rate) and bonus provisions (contract times result) are fully deterministic. Warranty provisions and litigation cost provisions, however, require human estimation based on experience and legal assessment.

The Decision Layer breaks the provisioning process into eight decision steps and defines for each whether human, rule engine or AI decides. The provision type is automatically classified. Calculable provisions are determined deterministically. Valuation provisions (warranty, litigation risk) are prepared with prior-year values and development data, but the decision remains with the human.

Prior-period provisions are automatically reviewed: unchanged ones are retained, those to be released are prepared. Provisions with changed circumstances are escalated for revaluation. Notes disclosures are prepared as LLM drafts.

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.
Identify provision type What type of provision is this? Rules Engine

Categorisation (leave, bonus, warranty, litigation, restoration)

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.

Calculate leave provision What is the leave provision per employee? Rules Engine Auditor

Remaining entitlement times daily rate - fully deterministic

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.

Challengeable by: Auditor

Calculate bonus provision What is the bonus provision? Rules Engine Auditor

Contractual terms plus current result - deterministic

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.

Challengeable by: Auditor

Estimate warranty provision How high is the warranty risk? Human Auditor

Experience, current claims rates, commercial judgement

Decision Record

Decider ID and role
Decision rationale
Timestamp and context

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

Challengeable by: Auditor

Assess litigation cost provision How high is the litigation cost risk? Human Auditor

Legal assessment of likelihood of success and damages amount

Decision Record

Decider ID and role
Decision rationale
Timestamp and context

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

Challengeable by: Auditor

Review prior-period provisions Should existing provisions be released, adjusted or retained? Human Auditor

Unchanged facts rule-based (R), revaluation human (H)

Decision Record

Decider ID and role
Decision rationale
Timestamp and context

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

Challengeable by: Auditor

Create journal entry What are the journal entries for formation, release and adjustment? Rules Engine Auditor

Posting logic: expense to provisions, provisions to income

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.

Challengeable by: Auditor

Draft notes disclosures Which notes disclosures are required for provisions? AI Agent Auditor

LLM draft of notes disclosures based on provision data

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.

Challengeable by: Auditor

Decision Record and Right to Challenge

Every decision this agent makes or prepares is documented in a complete decision record. Affected parties (employees, suppliers, auditors) 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

  • ERP system with provisions module or separate provisions tool
  • Personnel master data for leave provisions (remaining leave, daily rate)
  • Contract data for bonuses (basis, percentage)
  • Legal assessments for litigation provisions
  • Historical warranty data for estimation basis

Governance Notes

GoBD-compliant §203 StGB-compliant

Mixed decision distribution (2H / 4R / 1A / 1 R/H). Human decisions for warranty and litigation cost provisions - both require judgement and are balance-sheet-relevant. HGB Paragraph 249 (obligation to provide), HGB Paragraph 253 (valuation) and EStG Paragraph 6 Abs. 1 Nr. 3a (tax valuation) as direct legal bases.

GoBD-compliant: every provision is documented with calculation basis, method applied and result. Discretionary decisions (warranty, litigation) are archived with the clerk's rationale. During tax audits, provisions are a frequent focus, especially the appropriateness of valuations. Paragraph 203 StGB relevant: provisions can reveal litigation risks and internal conflicts.

§203 StGB-relevant data is encrypted end-to-end and never passed to AI models in plain text.

Process Documentation Contribution

Per provision type: calculation basis, method applied (deterministic or estimate), input values, result. For discretionary decisions: clerk's rationale, experience values used, comparison with prior year. For prior-period review: status (retained, adjusted, released) with rationale. Notes disclosure drafts as working papers for the close.

Infrastructure Contribution

The Provisions Agent establishes the pattern for hybrid agents: calculable parts fully automated, valuation decisions with the human. This pattern is reused by the Revenue Recognition Agent, Journal Entry Agent and other agents with discretionary components. The prior-period review (retain vs. adjust vs. release) is a reusable pattern for all balance sheet items that require regular review. Builds Decision Logging and Audit Trail used by the Decision Layer for traceability and challengeability of every decision.

Frequently Asked Questions

Can the agent also calculate IFRS provisions per IAS 37?

Yes. The agent supports both HGB Paragraph 249 and IAS 37. The difference lies in valuation (HGB: most likely amount, IFRS: expected value for multiple scenarios). The rule engine is configured per applicable accounting standard.

How are onerous contract provisions handled?

Onerous contract provisions per HGB Paragraph 249 Abs. 1 are maintained as a separate category. Calculating the anticipated loss requires human assessment of contract risk. The agent prepares the data basis (contract value, current costs, remaining effort).

What happens when a litigation provision proves unfounded?

The agent reviews at every close whether the prerequisites for existing provisions still hold. When the basis ceases (e.g. litigation won), the release is prepared and submitted for approval.

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