Client cases

Interaction with an immersive digital environment

AI agents

Deploy agents that can act within a defined framework.

Nexxom engineers agents connected to business tools, with a precise mission, limited access and approvals suited to each action.

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Our remit

01Define a mission, scope and success criteria
02Open only the tools and data required
03Evaluate actions before increasing autonomy

What turns a model into an operational agent.

An agent is more than a conversation: it receives a mission, uses authorized tools and knows when to hand control back.

A mission, not a chatbot

The agent receives an objective, scope, success criteria and a clear rule for handing control back.

Actions inside business tools

It can consult authorized sources, prepare a document, update a file or trigger a workflow.

Governed autonomy

Permissions, approvals, cost limits and logs make every execution observable and controllable.

An agent knows what to do, what it can use and how far it may go.

Reasoning is only part of the system. Its role, tools, working memory and escalation paths determine reliability.

What triggers the mission

Mission and priorities

Authorized knowledge

Business events

CAP / 01

Plan

Break down the mission and select the next step

CAP / 02

Consult

Retrieve context from permitted sources

Agent core

Mission, context and limits

CAP / 03

Use

Call explicitly enabled software and functions

CAP / 04

Escalate

Request approval or report an inability to proceed

What the agent returns

Action prepared

Task completed

Structured report

C01Role

C02Permissions

C03Action budget

C04Complete log

Autonomy is engineered as an architecture.

We start from digitized operations and assign the agent a bounded, observable and reversible mission.

Agent mission

Prepare and review a file

Assemble context, run checks and hand discrepancies to an owner.

Experia

Agent mission

Monitor operating anomalies

Track ERP signals and prepare expected actions without hiding exceptions.

HSE Engineering

Agent mission

Support construction management

Consolidate relevant information and prepare a verifiable brief before human decision-making.

Orion Groupe

Models, cloud platforms and tools available to agents

An agent combines a model, an execution environment and work channels. Every access point is selected and limited according to its mission.

Models

OpenAI

Claude

Mistral AI

Execution

Microsoft Azure

Google Cloud

AWS

Work channels

Microsoft Teams

Slack

These brands illustrate environments our firm can work with. They do not imply a partnership or certification.

Three missions an agent can handle.

The scope is deliberately defined: the agent executes, documents and requests approval whenever the situation requires it.

An agent prepares the file and surfaces only discrepancies.

It assembles documents, checks criteria and prepares a summary before involving the owner on sensitive points.

File received

Mission triggered automatically

Documents reviewed

Sources and rights verified

Checks

Criteria applied in sequence

Escalation

Discrepancy shown to the owner

Report

Outcome and sources logged

Grant autonomy only where it can be controlled.

We begin with a narrow, reversible scope. Permissions and capabilities expand when evaluations show that the agent consistently follows its role.

What your team receives

01Agent role and scope design
02Connectors to authorized tools and data
03Approval and escalation mechanisms
04Evaluation, observability and dashboards
05Operating documentation and team support

Let’s examine your ai agents requirements.

We will first understand how it actually works, then determine whether AI, automation or better integration is the right answer.

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