Classify incoming items
The agent reads the day's batch and the shared mailboxes. For every item it determines the document type and looks for the file reference.
Daily batch of 240 scans in 18 document typesSorts incoming mail and routes cases automatically to the responsible units.
Developed in Germany · Hosted in the EU or on-premises
Delivered together with
An objection goes to the social welfare office instead of the housing benefit office. The date of receipt does not change, the clock keeps running, and the case travels the same route back.
The 14 days before anyone reads it on the merits shrink to one once the scan is tagged with the right unit: up to 70% less manual routing effort.
The reduction of up to 70% in manual routing effort is the headline figure on record for this agent. The misrouted objection is an everyday example from a mailroom.
The agent reads the day's batch and the shared mailboxes. For every item it determines the document type and looks for the file reference.
Daily batch of 240 scans in 18 document typesThe agent recognises time-critical items and moves them to the front. For each one it states the time remaining.
9 time-critical items, shortest remaining deadline 6 daysFor every item the agent proposes the unit from the organisation chart. It refers unclear cases to the mailroom separately.
Forwarding proposal, ref. 50-2026-3391, to the housing benefit officeIt sorts and hands over. The substantive review begins in the responsible office.
It recognises the document type, the file reference and the running deadline. The housing benefit office carries out the remedy review.
It reads the day's batch from the scanning system and the connected shared mailboxes. An objection sitting in a personal mailbox instead does not appear on any distribution list.
Connected systems
Operations
A pilot typically runs on your own data within 4 to 6 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.
EU cloud, private cloud or on-premises. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.
It is based on experience from comparable projects and process benchmarks, not a commitment. We work out the realistic effect for your organisation during the assessment before the pilot.