Classify incoming documents
Automation can suggest a category and an owner. Unusual inputs have a defined review path.
AI and automation within your application
Add classification, extraction or drafting to document management. Individual steps are linked to metadata, validation and the next workflow action.
Data ready for the next step
Extracted values are mapped to the required structure and checked against application rules. A fixed rule is used where an AI model adds no value.
Summaries and drafts
We design use cases for summaries, minutes and draft replies from defined source material. The output stays within the approval process.
Pilot before expanding
We select documents, expected results and acceptance criteria. The findings show which parts are worth bringing into everyday operation.
Document → Recognition and OCR → Classification → Data extraction → Validation and exceptions → Routing into workflow. Human review according to risk
Frequently asked questions
How do OCR and AI extraction differ?
OCR recognises text in an image. Extraction identifies fields such as supplier, date or amount. Classification determines the document type. These are different steps that can work together.
What happens if AI gets a document wrong?
The process needs review and correction paths. Uncertain results go to a person, rules check required fields and changes are recorded. A confident-sounding answer is not evidence of correctness.
Will our documents be used to train AI?
That depends on the service, contract and configuration. Before deployment, establish the processor, data location and retention, access controls and permitted use of inputs. The design should answer these questions explicitly.
Does a person have to check every document?
The level of review follows risk, input quality and the consequences of error. Routine steps can be automated; exceptions and important decisions need an owner. Set the rules after testing your documents.
How will we measure the value of automation?
Compare processing time, corrections, completeness and manual interventions before and during the pilot. Include both routine and difficult documents. Benefits should follow measurements, not a general AI promise.
Are all demonstrated modules included in the base licence?
Licensing and delivery scope are defined in the proposal. Distinguish the ELO platform, custom modules, integrations and third-party services. Demonstrated functions are mapped to specific items when preparing an offer.