Enables AI-powered invoice analysis and reasoning: given invoice fields, it detects missing data, inconsistencies, duplicates, and proposes actions (register, request data, mark duplicate, review) using deterministic rules.
Exposes a ledger system (invoice queue, duplicate control, VAT register, contractor history, decision journal) as MCP tools for AI agents, enabling accurate invoice processing with deterministic validation.
Read and check European e-invoices (Factur-X, ZUGFeRD, XRechnung, UBL, CII) from an AI assistant: contents in plain text plus an EN 16931 consistency check.
Enables AI agents and finance teams to extract structured fields from messy invoices and audit them before payment, applying seven evidence-backed risk rules that catch total/tax mismatches, duplicate invoices, missing fields, future dates, and round amounts, then returning a 0–100 score with a payment link. Exposes four MCP tools over stdio and Streamable HTTP (spec 2025-11-25) plus a web UI, backed by an optional AWS Bedrock or OpenAI-compatible extraction brain that degrades gracefully to a zero-dependency offline engine.
Enables AI agents to parse and analyze PDF invoices, including text, field, and table extraction, OCR for scanned documents, ZUGFeRD support, compliance validation, and batch processing via MCP.
Enables AI models to three-way-match supplier invoices against purchase orders and goods received, returning deterministic approval, hold, or review decisions with human-readable reasons. It exposes tools to check invoices, list open purchase orders, and quote a plain-language matching policy, while never posting or paying anything.
