Audit-ready. Cert-Ready. In your infrastructure.
Enterprise AI Agents that make finance decisions auditable, reproducible, and audit-ready. The Decision Layer documents every decision path -- from document intake to posting proposal. No SaaS, no vendor lock-in. Every line of code belongs to you.
Finance decisions in enterprises depend on individual expertise. Depreciation classifications, expense receipts, correction postings, tax assessments -- the domain ruleset is complex and application varies by person, location, and interpretation.
The consequences hit the balance sheet directly: Correction postings that could have been avoided. Depreciation classifications that only the auditor challenges. Expense receipts treated differently across offices. Tax assessments that aren't reproducible.
For auditors, internal revision, and shared service centers, this is a systematic risk: Every undocumented decision is a potential audit finding. Every rule interpretation that varies is a consistency risk.
The Document Agent reads, understands, and assesses documents with real language understanding -- no rigid rule chains, no template matching. Invoices, credit notes, cancellations, expense receipts, travel expense reports. The Decision Layer checks completeness, plausibility, and tax classification. At high confidence: automatic posting proposal. At edge cases: escalation to the specialist.
Depreciation logic varies by asset type, tax classification, and region. The Decision Layer makes the logic explicit: asset type classification, tax classification check, application of depreciation table per current version, documentation of reasoning, handoff as structured posting proposal. Reduced misclassifications and auditable depreciation logic.
Varying interpretation of deductibility is one of the most common audit points. The Decision Layer standardizes: receipt completeness check, attendee list verification, purpose and business relevance check, application of deductibility rules per current version. Reproducible, rule-compliant treatment instead of situational interpretation.
Eliminate correction postings before they happen. The Workflow Agent orchestrates the quality assurance process: automatic plausibility check before posting, comparison against reference values and historical patterns, escalation for anomalies, documentation of every check in the audit trail.
The Decision Layer is the architectural layer between AI Agent and target system. It makes every LLM decision transparent, auditable, and reproducible.
The agent reads, understands, and assesses documents with real language understanding. The Decision Layer documents the decision path:
Document → Extraction → Classification → Domain Assessment → Confidence Score → Posting Proposal or Human Escalation
Every decision produces a complete record: input, model, assessment, confidence score, reasoning, applied rule (with version), decision path, outcome.
Where the model can decide safely and compliantly, it decides autonomously. Where domain edge cases, regulatory risks, or ambiguities exist, the decision goes to a human. This is architecturally enforced.
Not "we have ISO." Not "we don't need ISO." Rather: Every agent is technically built to be certifiable and auditable at any time.
Controls are first-class data objects in the system -- not documents in a folder. Every control has: a technical implementation (RLS policy, trigger, API check), an automatic evidence generator, an evidence history with timestamp, status, and version, and an auditor view with drill-down to the concrete implementation.
What this means concretely: Controls live in the database, not in Confluence. Evidence is generated automatically -- no human collects screenshots. Drill-down from traffic-light status to the concrete RLS policy name and test SQL. The system proves itself.
Auditors see live status in the Auditor Portal. No Excel package, no PDF report, no "ask the developer."
Finance Agents that make automated decisions about postings, amounts, and tax matters are subject to the transparency and oversight requirements of the EU AI Act. Our architecture addresses these requirements as a design principle:
Transparency (Art. 13): Decision Layer documents every decision path. Audit trail shows input → model → assessment → outcome.
Human Oversight (Art. 14): Human-in-the-Loop architecturally enforced for risk decisions. Decision Layer routes automatically.
Recording Obligations (Art. 12): Complete audit trail with timestamps, input hashes, model versions, decision paths. Immutable, exportable.
Risk Management (Art. 9): Governance Layer with bias monitoring, confidence tracking, anomaly detection. Cert-Ready Controls with automatic evidence generation.
Our architecture is designed from the ground up for EU AI Act requirements. This is an architecture statement, not a compliance certificate.
AI Agents don't replace systems. SAP FI/CO stays your ERP, DATEV stays your tax system. Agent logic is decoupled from the target system -- posting logic is separated from export.
1 week
Process analysis with your finance team. Map posting logic, document rule sets, understand system landscape. Prioritize use cases -- typically: document processing or depreciation logic as entry point.
3-4 weeks
Production PoC. One agent, one finance process, live in your infrastructure. Decision Layer, governance, audit trail -- from day one. Cert-Ready from the start, not retrofitted.
Ongoing
More agents for more finance processes. Correction postings, expense receipts, tax assessments, intercompany. The architecture grows -- same governance, same auditability.
After 12--18 months, you operate your Finance Agents independently. Complete source code, all prompts, all rule versions belong to you.
Correction postings preventively eliminated -- not corrected after the fact.
Auditable decision logic for external audit and internal revision.
Consistent posting logic across all locations and entities.
Reduced tax and compliance risk.
Scalability without knowledge loss through staff turnover.
Cert-Ready by Design -- structurally audit-ready, not documented retroactively.
Processes with high rule density and audit relevance: document processing, depreciation classification, expense receipts, correction postings. The discovery workshop identifies the highest leverage in your specific process landscape.
Yes. Cert-Ready by Design means controls live as first-class data objects in the system -- with automatic evidence generation, evidence history, and auditor portal. An auditor can trace every agent decision from document intake to posting proposal.
No. SAP FI/CO stays your ERP, DATEV stays your tax system. The Finance Agent sits on top -- it understands documents, makes domain decisions, and hands off structured posting proposals to your target system. Posting logic is decoupled from export.
Every rule in the Decision Layer is versioned. Rule changes (new depreciation tables, changed deductibility rules, legislative changes) are added as new versions. The agent automatically applies the current version -- every decision is attributed to the specific rule version.
The Decision Layer detects edge cases via confidence scores and risk indicators. At low confidence or domain ambiguity, automatic escalation to the specialist occurs. The escalation is documented -- the human decides, the agent does not learn from the correction (no uncontrolled re-training).
Whether document processing, depreciation logic, correction postings, or expense receipts -- we start with one process, one agent, one week of discovery.
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