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GoBD-compliant §203 StGB-compliant Q1-Q2

Reconciliation Agent

Reconcile subledgers against general ledger - continuously instead of at period-end.

Matches subledgers against the general ledger, assigns open items, flags unexplainable differences and creates reconciliation reports.

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Rule-based sub-ledger to general-ledger reconciliation, LLM matching for unclear items, escalate differences

The agent validates accounts requiring reconciliation by rules, reconciles sub-ledger against general ledger deterministically, and uses LLM matching only where posting text does not allow a unique assignment.

Outcome: Account reconciliation continuous rather than only at period end, 75 percent of reconciliations fully automated, and closing reconciliation time reduced by 60 percent.

74% Rules Engine
13% AI Agent
13% Human

The mechanics shift reconciliation work from month-end into daily rhythm:

Hundreds of accounts, thousands of items, five working days to cut-off

Account reconciliation is the bottleneck of the month-end close - and it becomes a bottleneck because it happens at the cut-off date. The Decision Layer shifts it into the running month, separates rule-based matching from human judgement and makes every reconciliation provable for the statutory auditor at any time.

The Cut-Off Date Is the Actual Flaw in the System

Hundreds of accounts, thousands of open items, five working days: that is what reconciliation week looks like in most Finance departments. Half of finance teams take longer than a week for the month-end close according to APQC benchmarks, and only a minority close in three days or fewer. Meanwhile, The Hackett Group shows that accountants spend a substantial share of their working time on manual low-value processes like account reconciliation.

The problem is not the volume of postings but the timing. Anyone who posts for three weeks and begins comparing balances on the 30th has self-created the clarification backlog. Every difference that surfaces on the cut-off date is at least 15 days old. Documents are scattered, clerks have lost context, and the statutory auditor is waiting. The bottleneck arises not from volume but from simultaneity.

Continuous Reconciliation Dissolves the Deadline Pressure

The Reconciliation Agent checks at every posting against the configured account list whether subledger and general ledger still agree. Receivables, payables, bank, fixed assets, clearing accounts: balances are continuously compared, not monthly frozen. Differences appear the moment they arise - not three weeks later when nobody remembers which posting caused them.

This fundamentally changes the accountant’s task. Instead of clarifying hundreds of accounts simultaneously at the cut-off date, the team works daily worklists with a handful of open points. The load distributes across the month; the close itself becomes confirmation of an already reconciled state. For the CFO, this means shorter close cycles without additional headcount - and for the department, a working routine without the recurring month-end crunch.

The Decision Layer Separates Computation from Judgement

Reconciliation breaks into eight clearly defined decision steps. Seven are computation: which accounts belong on the list, do balances agree, which open items explain the difference, what approval status has been reached. These steps run rule-based, deterministically and logged. Open-item assignment combines exact matching with fuzzy matching for partial payments and rounded amounts. Unusual residual differences are flagged by the agent via pattern matching for review.

A single decision stays with the human: the materiality assessment. Is a residual difference of EUR 340 (USD 370) on a clearing account material or not? This question depends on context, trend and judgement, and is deliberately not automated. The agent presents the difference with all relevant information; the clerk decides. This is tier 1 to 2 in the Decision Layer: high automation in execution, clear human reservation on assessment. Every decision is written to the reconciliation report with timestamp, author and rationale - the foundation for every financial audit.

The Close Becomes Routine Instead of a Sprint

Implementing continuous reconciliation changes not just the workflow but the expectation profile of the month-end close. The reconciliation report is available at any time, not only at cut-off. The statutory auditor can review during the running month which accounts are reconciled and with what evidence level. Open points are no longer last-minute surprises but a maintained worklist.

For leadership, this means three things: predictable close dates instead of overtime cycles, a reliable number basis for forecasts and reporting during the month, and an audit trail that does not merely comply with proper bookkeeping standards but visibly demonstrates compliance.

Micro-Decision Table

Who decides in this agent?

8 decision steps, split by decider

74%(6/8)
Rules Engine
deterministic
13%(1/8)
AI Agent
model-based with confidence
13%(1/8)
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.
Load account list Which accounts must be reconciled? Rules Engine

Configured account list

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.

Subledger/GL matching Does the subledger balance match the general ledger? Rules Engine

Numerical comparison

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.

Assign open items Can open items be uniquely assigned? Rules Engine

Exact amounts = R, partial match = A

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.

Flag differences Are the remaining differences explainable? AI Agent Auditor

Pattern matching against known difference causes

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

Materiality assessment Is the difference material and requires clarification? Human Auditor

Judgement in the materiality assessment

Decision Record

Decider ID and role
Decision rationale
Timestamp and context

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

Challengeable by: Auditor

Reconciliation report Is the report created and archived? Rules Engine

Formatted report per template

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.

Approval tracking Who has approved which account? Rules Engine

Workflow status tracking

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.

Continuous reconciliation Is reconciliation continued throughout the month? Rules Engine

Automatic repetition per configuration

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.

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 →

Does this agent fit your process?

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

Analyse your process

Governance Notes

GoBD-compliant §203 StGB-compliant

GoBD-relevant: reconciliation reports are part of the procedural documentation and must be archived immutably. Traceability of every assignment decision is mandatory per AO Paragraph 147 (retention obligation). The statutory auditor reviews reconciliation as part of the financial audit - complete reports significantly shorten the audit.

Every assignment decision is documented in the decision log with rule, version and confidence. During a tax audit, it is traceable not only that reconciliation was performed but how every individual assignment was made.

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

Process Documentation Contribution

The Reconciliation Agent documents for the GoBD procedural documentation: which accounts were reconciled when, which assignment rules were applied, which differences were identified and how they were resolved. The reconciliation reports form a central component of the procedural documentation for tax audits.

Assessment

Agent Readiness 81-88%
Governance Complexity 21-28%
Economic Impact 74-81%
Lighthouse Effect 31-38%
Implementation Complexity 28-35%
Transaction Volume Monthly

Prerequisites

  • ERP system with API access to general ledger (SAP FI, DATEV, Microsoft Dynamics or equivalent)
  • Configured account list with reconciliation obligation
  • Access to subledgers (receivables, payables, assets, bank)
  • Defined materiality thresholds per account group

Infrastructure Contribution

The Reconciliation Agent builds the reconciliation pattern reused across domains: bank reconciliation, intercompany reconciliation and consolidation use the same matching engine. The continuous reconciliation logic (running throughout the month instead of at period-end) becomes the standard for all close agents.

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, GoBD/statutory, 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.

Reconciliation 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

Does the agent fully replace manual account reconciliation?

No. The agent handles routine assignments and identifies differences. Material discrepancies requiring human judgement are escalated with context and a suggested resolution. The final sign-off remains with the clerk.

What does continuous reconciliation mean in practice?

Instead of reconciling all accounts in a marathon session at month-end, matching runs throughout the month. New postings are continuously assigned. By period-end, 80-90% of accounts are already complete - the month-end close shortens by days.

How does the agent handle partial payments and split amounts?

Exact amounts are assigned rule-based. For partial amounts and deviating references, the agent uses pattern matching with a confidence score. Assignments below the configured threshold are escalated for manual review.

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 finance process landscape and show how this agent fits your infrastructure.