Nine agents. One operation.

  • Each agent owns its domain and coordinates with the others
  • Nine agents run in parallel and write into the same systems
  • One shared audit trail - traceable across every module
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Three layers. One model in between.

At the bottom, your sources - every format. In the middle, the data model with typed objects and their relationships. At the top, the operations that run on it. Every action above is a query against the model, not against a raw document.

Analytics Workflows Integrations Data Model · Ontology Invoice №2024-1881 VENDOR ACME GmbH AMOUNT €14,230.00 DATE 2026-05-03 ACCOUNT 4400 STATUS Awaiting approval OBJECT · INVOICE issues posts to governs approves creates Vendor Invoice Account Contract Employee Entry Sources Scan / Photo PDF E-invoice ERP record Email Excel

Correctness over throughput.
Humans where it matters.

01
Confidence for every decision.
Every suggestion - G/L account, tax rate, cost center - ships with a value from 0 to 100 %.
02
Reasoning for every decision.
Plain text, not code. Linked to the contract, vendor history, and source document.
03
Calibrated for correctness.
High confidence only when the decision is truly reliable - never wishful thinking.
04
Escalation below your threshold.
If confidence drops below your limit, a human takes over - with full context, in one click.
Per 100 transactions Threshold configurable
Payables 20 transactions Receivables 20 transactions Documents 20 transactions Contracts 20 transactions 90 Auto-posting Confidence ≥ threshold 10 Human-in-the-loop Confidence < threshold · anomaly
Payables Receivables Documents Contracts

OCR. Hosted Agents. Orcha.

Three ways to automate finance. Each has its place - but only Orcha is tested on real European bookkeeping, covers the long tail of complex cases, and plugs deep into your tool landscape, including legacy systems.

OCR + rules

Classic capture tools
  • Finance domain
    Field extraction with static rules. No context on contracts, budget, or history.
  • Long tail & edge cases
    Fails or escalates. New vendor formats need new templates.
  • Integrations
    Point-to-point connectors per tool. No cross-module knowledge.
  • Stack & model
    No LLM - rule-based pattern recognition. Vendor maintains the rule set.
  • Setup & support
    Standard ticket support. Onboarding and template upkeep sit with you or your IT partner.

Hosted AI agents

Generic agent platforms
  • Finance domain
    Real AI with context - but generic.
  • Long tail & edge cases
    Unknown behavior - not trained or tested on finance edge cases.
  • Integrations
    Generic tools (web, code, files). DATEV, SAP, or legacy systems not native.
  • Stack & model
    Agents live inside the vendor platform - you log in there. Locked to the vendor's model and stack.
  • Setup & support
    Standard key-account management. Agent setup via an expensive internal team or external consultancy.
Recommended

Orcha

Finance agents inside your tool landscape
  • Finance domain
    Tested on German and European bookkeeping - DATEV, SKR, §14 UStG, OSS, VAT edge cases.
  • Long tail & edge cases
    High volumes and standard cases flow through - the 10% complex cases we solve explicitly, not just the golden paths.
  • Integrations
    Deep connectors for DATEV, SAP, NetSuite, Excel - including legacy accounting and older ERP versions.
  • Stack & model
    Model-agnostic: any leading LLM today, European models tomorrow - as soon as the quality is there. Switch without re-implementation.
  • Setup & support
    Forward-deployed engineers set up your processes with you - no external consultancy, no DIY. A direct line to the team instead of a ticket queue.
We don't replace Claude or ChatGPT - we give your AI assistant the finance tools that actually deliver.

Your finance data - queryable in
ChatGPT, Claude & Copilot.

Orcha structures every invoice, every contract, and every booking so your AI assistants can access them directly.

ChatGPT via Orcha
Show me all open invoices over €10k from Q2.
23 open items over €10k in Q2:
  • Müller Logistics€48,600 · due in 12 d
  • Schmidt KG€21,760 · overdue
  • Bauer Maschinenbau€18,900 · due in 4 d
  • + 20 more€384,200 total
via MCP · Accounts Receivable agent · real-time
Claude via Orcha
Which contracts expire in the next 90 days and have auto-renewal?
4 contracts with auto-renewal · action by:
  • Salesforce14 days
  • Microsoft volume license41 days
  • AWS Cloud67 days
  • Slack Enterprise88 days
via MCP · Contracts agent · live data
Microsoft Copilot via Orcha
What's the cash flow forecast for Q3?
Based on 47 active contracts + Q2 trend:
  • Incoming payments€2.4M
  • Outgoing commitments€1.1M
  • Net cash flow Q3+€1.3M
  • Confidence94 %
via MCP · FP&A agent · accrual-based
Position
We're not competing with Claude, ChatGPT, or Copilot - we're their data source for finance. Structured data + MCP servers + access control per user and entity.
MCP server · active