Document Chaos Is Everywhere. So Is Lector.

Accepts incoming mail through every channel – post (once scanned), email, beBPo (the special electronic mailbox for German public authorities)

Classifies automatically by document type and responsibility

Extracts the relevant data and files each document correctly or forwards it to the responsible unit

Checks applications for completeness and plausibility – missing fields, missing attachments, contradictory details

Detects missing documents and supplies ready-made wording for requesting them – to review and send

Produces structured summaries for case handling

Procurement via EVB-IT (the German public-sector IT contract framework): licence with services and maintenance, EVB-IT System or EVB-IT Cloud – every contract type is supported

Operation in the cloud, hybrid (platform in your own data centre, AI inference in the EU) or fully on-premise

Input channels: post after scanning, email, beBPo/De-Mail (Germany’s legally binding email service), citizen portal and OZG online services (under Germany’s Online Access Act)

Connection to DMS and case-management systems (e.g. enaio, d.3), master-data matching, hand-over with transfer note

Phased introduction: pilot in 4–6 weeks, roll-out in 2–3 months – accompanied by our team

Evidence included: DPA, TOMs, data-protection assessment and EU AI Act classification (minimal risk)

Reads every incoming letter, email and app upload

Automatically identifies the case type – benefits claim, doctor’s letter, cancellation, appeal, change of address, claim notification, contract amendment

Extracts the relevant data – insurance number, name, diagnosis, contract and claim details

Reconciles against master data and assigns everything to the right case

Checks completeness and, where documents are missing, supplies ready-made wording for requesting them

Routes the case straight to the responsible case handler

Reads and sorts all incoming mail – letters, emails and uploads

Automatically identifies the document type – loan application, self-disclosure form, payslip, bank statement, land register extract

Extracts the relevant data – name, account number and IBAN, amounts, and details from bank statements and land register extracts

Reconciles against master data and assigns everything to the right case

Checks completeness and, where documents are missing, supplies ready-made wording for requesting them

Routes the case straight to the responsible case handler

Processes incoming invoices, delivery notes, purchase orders, maintenance records and technical documents

Extracts invoice numbers, amounts, line items and supplier details – regardless of format

Reconciles invoices against master data and purchase orders

Feeds the results straight into your ERP or DMS

Scales effortlessly from a hundred to a hundred thousand documents a month

Reads purchase orders, delivery notes, waybills and invoices – in any format, including handwritten or poorly scanned ones

Extracts article numbers, quantities, prices, delivery addresses and tracking numbers

Automatically reconciles purchase orders, delivery notes and invoices against each other and spots discrepancies immediately

Feeds the results straight into your warehouse management system or ERP

Reviews incoming tenders in seconds and extracts the decisive key figures

Gives you a fast basis for deciding whether bidding is worthwhile