@invoice.processor

book invoices from emails and calls
in seconds.

phone calls and emails come in. the agent transcribes, extracts line items, matches customers, and posts to your ERP — without human intervention for straightforward cases.

invoice processor dashboard

invoice processor on cogit

how it works

from voice or email to booked invoice.

a 6-stage pipeline — each step produces a structured artifact that feeds the next. the orchestration is LLM-driven.

01
receive call or emailphone recordings, emails, or uploads enter the pipeline. duplicates blocked automatically.
02
transcribe audiospeaker-labeled transcription preserving names, numbers, and prices verbatim.
03
extract invoice dataclassify the interaction and pull customer, line items, totals with confidence scores.
04
match customerfuzzy search + LLM scoring against your database. confidence gates auto-post vs. review.
05
post to ERPvalidated entry created as credit note. duplicate check before write. dry-run available.
06
notify your teamemail summary — invoice created, review needed, or error. configurable per tenant.
the value

from call to booked entry autonomously.
no manual data entry.

the agent handles the repetitive work. your team handles the exceptions.

seconds

call-to-invoice

a 3-minute phone call becomes a validated ERP entry in seconds after hang-up.

≥90%

auto-post rate

confidence-gated: only high-certainty matches are posted automatically. the rest go to human review.

0

duplicate entries

case gate + duplicate check ensure no recording is processed twice, even with concurrent runs.

works with LexOffice, Business Central, SAP.

features

built for real accounting workflows.

multi-source ingestion

phone recordings, inbound emails with attachments, or direct file uploads. source-agnostic architecture.

layered safety controls

case gate prevents duplicates. call classification filters non-sales. confidence thresholds gate posting. dry-run mode for testing.

pluggable ERP targets

LexOffice, Business Central, SAP — any system with an API. multi-instance support per shop or business unit.

multi-tenant architecture

one deployment serves multiple shops. isolated phone lines, customer databases, ERP accounts, and execution history per unit.

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