01
AI Extraction Forms Workflows Text Modules
data points. thr basis of automation.
Structured data points are at the heart of any case-specific automation — Manual, Extracted by Form, via Workflow, or by AI and can be used anywhere in the process.
02
AI extraction from documents
read documents.
Extract data points.
With ki Data points from a document, a document group or the entire file extracted fully automated be — values, data, numbers, whole paragraphs or tables.
The method combines the performance of autonomous AI when determining specified data points independently with the professionally secured automation — Precise, scalable, reproducible.
03
Extraction x Workflow
Can be used anywhere.
in each process step.
Data points are the basis Almost all automated process steps. For example, data points can be used at the following process steps:
- Deadline and statute of limitations: Based on the deposited purchase date or the delivery date of a fine notice, the statute of limitations or objections to objections will be calculated using the workflow and deposited as a deadline.
- Prospects of success and risk assessment: Combine data points with each other in order to be able to automatically check the chances of success of a mandate.
- Decisions in Workflows: To automate case processing, a large number of decisions must be made, which mostly build on if-then conditions. You can completely map the conditions using data points and thus specifically automate subsequent processes.
In the text module can too Conditions for Data Points be defined — Text elements only appear if there is a specific value. Workflow decisions are based entirely on data point-if-then conditions.
Anhand hinterlegter Datenpunkte (Kaufdatum, Zustelldatum) werden Verjährungs- und Einspruchsfristen vollautomatisch berechnet und als Frist hinterlegt.
verjaehrung_datum =
schadensfall_datum + 3 Jahre
// Einspruchsfrist
einspruch_frist =
zustellung_datum + 14 Tage
Datenpunkte werden kombiniert, um Erfolgsaussichten automatisiert zu prüfen — z. B. Schadenshöhe, Dokumentationslage und Fristenstatus.
UND rsv_deckung = "bestätigt"
UND frist_aktiv = true
DANN
erfolgsaussicht = "hoch"
Datenpunkte in Textbausteinen — fallspezifisch befüllt. Bedingungen steuern, ob Textblöcke erscheinen.
→ "15.08.2023"
WENN erfolgsaussicht = "hoch"
ZEIGE "Wir empfehlen die Klage."
SONST
ZEIGE "Außergerichtliche Einigung."
Wenn-Dann-Bedingungen in Workflows — vollständig auf Datenpunkten aufgebaut, um Folgeprozesse gezielt zu steuern.
= true
→ Wiedervorlage erstellen
→ Sachbearbeiter informieren
SONST
→ Vollstreckungsbescheid
04
Manual, automated.
one system. many ways.
1
Manual input
The simplest case — Right in the file stored data points, editable at any time.
3
Workflow Service Tasks
Fully automated — with mathematical calculations, external databases and other data points as a basis.
2
Dynamic Forms
client or third party Fill the file in a controlled manner — All data is stored in a structured manner.
4
AI extraction
from documents, document groups or the entire file — Fully automatic and precise extracted.
05
Manual, automated.
data points. Made for big projects.
01
AI mass extraction
Thousands of data points from the entire file Extract fully automated — scalable and precise.
03
Text module conditions
Text blocks appear Only if data points determine certain values have.
02
Workflow Decisions
if-then-conditions Fully targeted at data points — trigger follow-up processes.
04
any values
word, number, date, full paragraph or table — Each data point carries exactly what the process needs.
was möglich ist.