ATHER FORGE: ENTERPRISE AUTOMATION

Automation that works predictably in production. In development

Finance, legal, sales, operations, HR: agents that complete multi-step business processes end to end. Deterministic steps where you need certainty, AI where you need judgment, and human approval gates where it matters.

TRIGGER bank statement / payment advice AGENT reconciliation-agent TOOL mcp:sap.rfc fetch open invoices (FI-AR / FICA) TOOL match: payment ↔ invoice amount · reference · fuzzy GATE auto-clear within tolerance, else approval: AR clerk TOOL mcp:sap.odata clear & post OUTPUT posted clearing doc + audit trail every match traceable

The reconciliation flow is not a picture of the system. It is the system. Every node here is a real node in the graph.

HOW IT WORKS

From task to governed result.

01

Anchor AI in predictable logic

Mix deterministic steps with AI judgment. Approval gates where decisions need oversight; error handling and fallbacks when actions don’t go as planned. The agent stays inside its boundaries by runtime enforcement, not by prompt.

02

The worked example: SAP payment reconciliation

Bank payment advices matched to open invoices (FI-AR / FICA), cleared within tolerance, exceptions routed to an AR clerk, and clearing documents posted back into SAP, with every match decision recorded as graph structure.

03

You choose the tools, you make the rules

Any LLM, any MCP tool: SAP, Jira, SharePoint, email, SQL. Permission tiers per tool: read freely, write with approval, never out of scope.

04

Costs and behaviour on the record

Token spend, latency, and outcomes per run land in the graph. Fine-tune on facts: inspect any step, replay any decision, diff any two runs.

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Ather Forge is in active development. Early-access partners get direct engineering access and shape what ships first.

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