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nexeai
Use cases

What AI can concretely change for you

Here are illustrative scenarios we can adapt to your processes. Expected results depend on the data, the tests and the architecture chosen.

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Four scenarios, to adapt to your processes

Illustrative scenarios, not client references: they show how we build. Each example states the starting problem, our response, and the possible result based on what the tests show for you.

AI agent

A daily monitoring and summary agent

The problem
A team spends hours every week monitoring information sources and summarising them.
Our response
A scheduled agent can gather sources defined with the team, propose a summary and send it on an agreed schedule.
Possible result
Depending on the sources, the schedule and the summary rules tested, the team can free up time and structure its monitoring.
See the service: AI agent development
Automation

Automated processing of incoming documents

The problem
An organisation receives a steady stream of documents (invoices, forms) to enter and file by hand.
Our response
A no-code workflow can read the documents (OCR + AI), extract the data required, send it to the chosen system and escalate unclear cases to a person.
Possible result
Depending on the quality of the documents and the approval rules tested, this workflow can cut manual entry, with human review of sensitive cases.
See the service: No-code automation
Business assistant

An internal assistant connected to your knowledge

The problem
Staff lose time searching for information scattered across documentation.
Our response
An assistant connected to your document base, with access rights and a hosting mode defined to fit your constraints.
Possible result
Depending on the corpus, the access rights and the response tests, the assistant can help teams find information faster and cut repeated requests.
See the service: AI agent development
Multi-agent orchestration

A chain of agents for a complex task

The problem
A deliverable requires several steps: research, drafting, checking, formatting.
Our response
An orchestration that splits each step across sub-agents, then submits the result to human review.
Possible result
Depending on the breakdown, the criteria and the checks tested, this architecture can shorten the preparation of certain deliverables.
See the service: AI agent development

Your use case isn't on the list?

That's normal: every organisation is different. Describe your situation, and we'll tell you what AI can bring to it.

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