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nexeai
AI for industry

Make your company's know-how accessible to those who need it.

The technician who knows the answer is not always available. Your manuals, your procedures and your service reports can be — and can answer while naming their source.

Tell us about your know-how
knowledge base · document searchExample

What you hand over to it

Manuals and guides

manufacturer · internal

Quality procedures

with their revision

Service reports

fleet history

AgentKnowledge base

indexes your documents · answers only from them

The technician asks

“What is the procedure for an E47 fault on line 2?”

RésultatProcedure Q-187, revision 12

sources: machine manual p. 34 · service report from March

HumainThe technician checks the source before applying it

the answer points to the document, it does not replace it

In industry, know-how is often scattered: technical documents, the memory of experienced teams, quality procedures, service reports. Finding it takes time, and it is lost when someone leaves. AI makes it possible to capture this knowledge and make it accessible to everyone, at the right moment.

Our approach is no-code, built for French industrial SMEs, with confidentiality as the starting constraint. Depending on your industrial security and intellectual property constraints, local deployments and open models can be considered, with a precise record of the data flows.

The goal is to equip your teams, not replace them: decisions and approvals stay human. Let's talk about the knowledge worth capturing in your organisation, in a first conversation.

Where AI steps in

Between the documentation and the shop floor

An assistant does not replace a step: it prepares the next one and hands back. Here is where that pays off, and where it does not.

Documentation and field reports

  1. Capture

    manuals, procedures, reports

    Agent

    Indexes the documents you entrust to it

    searchable knowledge base, source by source

    Humain

    The methods team checks what is indexed

  2. Intervention

    breakdown, adjustment, check

    Agent

    Finds the applicable procedure and cites the document

    sourced answer, never an instruction

    Humain

    The technician checks before applying it

  3. Documentation

    incident report, field feedback

    Agent

    Drafts the report from the notes taken on site

    report to review

    Humain

    Quality approves and files it

  4. Technical decision

    stopping the line, granting a waiver

    No agent here, and that is not a gap: stopping a line or granting a waiver commits the company.

What it changes, role by role

Management and company leadership
A clear view of the knowledge scattered across the organisation, and tools that protect and spread know-how without exposing intellectual property.
Production and operations manager
Assistants for support, maintenance and documentation, that speed up interventions and cut search time.
Field team
Operators, technicians and quality teams find the right information at the right time, from a fixed post or a mobile device, with no technical skill needed.
Quality, methods and HR
Assisted drafting of quality documents, report preparation and onboarding of new hires, with controlled procedures.
Three scenarios

Named the way you name them

Nobody goes looking for “a knowledge base”. They go looking for the procedure for fault E47, at six in the morning.

Scenario 01

Finding a procedure

  1. A defect appears on the production line
  2. The agent searches the indexed manuals, procedures and reportsthe agent takes over
  3. It reports the applicable procedure and its revision
  4. It attaches the pages and the past interventions that cite it
  5. The technician checks the source and applies ityou take back the reins
Today
You call whoever knows, and if they are not around, you dig through a binder.
With an agent
An answer in seconds, that points to the document rather than to memory.

Scenario 02

Preparing an intervention

  1. An intervention is scheduled on a piece of equipment
  2. The agent gathers the history, the parts and the safety instructionsthe agent takes over
  3. It prepares the work order from your template
  4. It flags what is missing from the equipment's file
  5. The maintenance manager approves and launches ityou take back the reins
Today
Preparation depends on who does it, and the history is dug up by hand.
With an agent
A work order built from the sources, with the history already attached.

Scenario 03

Onboarding a new hire

  1. An operator arrives at a station they don't know
  2. They ask the assistant their questions instead of three colleagues
  3. The agent answers from the company's procedures, with the sourcethe agent takes over
  4. It flags the questions the documentation does not answer
  5. The mentor handles those, and the answer joins the knowledge baseyou take back the reins
Today
Onboarding takes up an experienced operator, who answers the same questions twice a day.
With an agent
Routine questions handled by the documentation, and the mentor free for what it does not cover.

The other tasks we keep seeing

Tools that capture expertise and smooth the teams' everyday work.

Technical documentation
Searching and summarising your manuals, procedures and specifications, to find the right information at the right time.
Knowledge base
An assistant connected to your in-house expertise, that captures it and makes it accessible to everyone.
Support & maintenance
Help with diagnosis and resolution from the history and the documentation, to speed up interventions.
Quality & compliance
Assistance drafting and checking quality documents, incident reports and procedures.
Document processing
Automatic extraction of data from purchase orders, spec sheets and supplier documents.
Onboarding new hires
An assistant that lets new team members find procedures and good practice, and ask their questions.
Passing on know-how
Capturing the knowledge of experienced teams, to preserve key skills before they leave.
Technical and regulatory watch
Summarising regulatory changes and supplier documents that apply to your activity.
Tailored deployment
Cloud or local solutions depending on your industrial security and intellectual property constraints.
What bounds the assistant

A knowledge base reads. It commands nothing.

Two tables, and they read together: what the assistant is allowed to do before it starts, and what it did once it has finished. The third column holds nothing but refusals.

Before — what is allowed

Each source gets the rights the task needs, and not one more.

Example permissions granted to an agent, tool by tool.
Technical documentationIntervention historyProduction systems
allowed : readallowed : readdenied : read
allowed : cite its sourceallowed : summarisedenied : write
denied : amend a proceduredenied : close a ticketdenied : issue a command

Example. The actual split is decided during framing, tool by tool, and access can be revoked.

After — what it did

Every answer says where it comes from.

  1. 06:14:02question received · fault E47
  2. 06:14:03knowledge base queried
  3. 06:14:04procedure Q-187 revision 12 found
  4. 06:14:04sources attached to the answer
  5. 06:14:05no write to the production systems
  6. awaiting the technician's check

An example. The assistant drove nothing: it has no access to the production systems, and its answer points to the document rather than replacing it.

Your first assistant

Where an industrial site would start

A first scope is chosen small: one line, its documentation, a measurement after thirty days.

first project · technical documentationExample

Searching the documentation of a single line

What the agent covers

  • vérifié : Indexing the line's manuals and procedures
  • vérifié : Answers citing the document and its revision
  • vérifié : Service history attached
  • vérifié : Unanswered questions flagged
  • exclu : Access to the production systems

What it needs from you

  • the line's documentation
  • a year of service reports
  • two technicians for the test

What stays with you

  • checking the source
  • updating the procedures
  • any technical decision

What we look at after thirty days: how long a search still takes, and the share of questions the documentation cannot answer.

estimate · searches per monthYour figures
searches / month
minutes

Time consumed today

≈ 29 h 10per month

This total is yours: it only comes from the two figures alongside. Only part of this time can be automated — we look at the volume, how stable the process is, the exceptions and the data available before saying so.

Get this process reviewed
Our method

How a project runs

We move in stages, to check the value before widening the scope.

  1. 01

    Frame

    • The knowledge worth capturing, the priority uses and your industrial security and intellectual property constraints. You leave with a clear scope.

  2. 02

    Test

    • A first assistant on a real case, for example searching technical documentation, tested on a bounded scope with your teams.

  3. 03

    Deploy

    • Integration into the teams' daily work, user training, and the controls and supervision agreed during framing.

  4. 04

    Measure

    • Usage and results tracked with your team, the gap against success criteria measured, the setup adjusted continuously.
Frequently asked questions

What we're asked before getting started

Straight answers on data, industrial security and rollout.

Is our intellectual property protected?
Yes, and it is an architecture decision made right from framing. Local deployments on your own servers can be considered depending on how sensitive the data is. Every flow is documented, nothing is transferred by default.
Is this use case really worth automating?
Not always, and we say so when it is not. We check the volume, the time it consumes, how stable the process is, how many exceptions it has and what data exists before proposing an agent. Documentation that is scattered or never kept up to date gets fixed before it gets indexed.
Can AI be used on sensitive production data?
Yes, as long as the architecture fits: local hosting, minimal permissions and logged access. We document these choices with you, based on your industrial security constraints.
Can operators with no technical skill use it?
Yes. Our approach is no-code: the assistants are configured by our team and queried by users through simple interfaces, like a conversation. Training is included in every project.
How do you avoid errors in the technical documentation?
Through scope and approval: the assistant only answers from the documents you entrust to it, proposes answers the user approves, and uncertain cases are flagged for a human check.
Does AI integrate with our existing tools?
The assistants can draw on your systems: ERP, CMMS, email, document shares. Each access is configured with the minimum rights needed, and integrations happen as the project moves forward.
Can we start with a pilot on one plant?
Yes, and that's what we recommend. A bounded pilot, for example on a technical documentation set or a production line, lets you check the real value before extending it to the whole organisation.

Put your teams' know-how to work

Let's talk about the knowledge scattered across your organisation, and how AI can make it accessible.

Book a call

To go further

Other formats complement this offer, depending on where you're starting from.

Finance sector

Document processing, reporting and file tracking: finance teams automate tasks close to yours.

Bespoke AI agent development

Agents that chain the steps together, use your tools and stop when an action that commits you needs approval.

AI and automation audit

Two weeks to identify the tasks you can automate, whether they are feasible, and a 90-day roadmap with before-and-after measurement.

AI agent training

Build your team's skills on AI agents and their business use, to frame your projects and steer your teams better.