A document should not just sit in a folder. It should trigger the next step.

We implement AI for documents, contracts, attachments, reports and knowledge bases. It can work as a module of a customer portal, document workflow, internal application or as a standalone assistant for working with files.

Let's talk about documents See the scope

odczytsummaries, fields, dates, risks

wyszukiwaniequestions to company knowledge

workflowrouting to a person, status or system

AI w BeeLogicSee how AI supports core web services. Document workflowA natural place for AI in classification and decisions. Customer portalDocuments, cases and answers in one environment.

Document as part of the process

AI reads the document, but value appears only when the document affects how the company works.

A contract, complaint, form, product card, specification or attachment can be summarized, classified and passed on with specific context.

Inputfile, email, scan, form

Readingcontent, fields, parties, risks

Classificationtype, priority, case, customer

Next stepstatus, task, approval

Where it works

AI in documents can be a module of a larger system or a separate tool.

Most often we connect it with customer portals, document workflow, internal applications and reporting. In a smaller scope it can work as a dedicated file assistant.

Document repository

Search and questions to company files without manually browsing folders.

Contracts and attachments

Extracting dates, parties, amounts, clauses and risks for further control.

Customer documents

Classification, missing data, case assignment and automatic status.

Workflow integration

The document moves into the right process instead of only being described.

Project scope

We match the implementation scope to document type and control level.

A simple knowledge assistant is built differently from a data extraction module in a process, and differently again from document workflow with approvals and activity history.

Document assistant

A start for companies that want to search and understand files faster.

selected document set
questions and summaries
basic answer sources
usage instructions

Extraction and classification

When a document should feed a form, status or task.

data fields
classification rules
validation and exceptions
export or integration

AI document process

When a document triggers workflow and decisions.

roles and permissions
statuses and approvals
logs and activity history
integration with a portal or application

Use scenario

Instead of reading every attachment from the beginning, the team gets a summary, risks and the next step.

AI does not replace the responsible person, but prepares the material: it organizes content, shows sources and routes the document to the right place.

less manual readingfaster processing of repeatable files

more contextanswer based on sources

better workflowthe document is not left without an owner

Next step

Let's choose one document type and check how much work can be taken off the team.

It is best to start with a repeatable document that currently requires manual reading, copying data or asking other people many questions.

Let's talk about implementation Write to BeeLogic

Contractsdates, parties, risks

Attachmentsclassification and gaps

Knowledgesearch and Q&A

Obiegstatuses, roles, approvals