Eight use cases we know how to deploy. Here is how.

The problem

Classic tools (firewall, antivirus, SIEM) rely on signatures and known rules. They detect what they already know. A hijacked credential, a 3 a.m. connection from an unusual IP, a transaction that does not match an account's habits: none of this triggers an alert, because technically the connection is valid. Intrusions are discovered weeks later — often once the data has already left.

The deployed solution

AI agents continuously correlate several weak signals — authentications, schedules, locations, volumes, action sequences — and compare each activity against the usual behavior of the account or service. When a combination deviates from the norm, the agent qualifies the alert within seconds: who, what, when, how severe, and what has already been affected. The decision stays human; the agent sorts and surfaces the signal that matters.

Results

• Detection based on behavior, not signatures: never-before-seen attacks no longer slip through by default
• Qualified alerts in real time, instead of daily or weekly reports
• Less noise: surfaced alerts are put in context by the business, which limits false positives
• Correlation of weak signals that no tool relates on its own

The problem

Phishing remains the leading entry point for intrusions. An employee clicks, the credential is stolen, and the attacker looks legitimate to the system. Classic anti-spam filters block crude campaigns; they let through well-written, personalized messages that imitate your vendors or your leadership.

The deployed solution

An agent analyzes the content, the sender, the links, the attachments and the conversational context — not just keywords. It spots the unusual request: a wire transfer order that would never have been asked for this way, a known sender whose style has changed, an attachment this vendor never sends. It warns the employee before the click, right in the message thread.

Results

• Analysis covers intent and context, where the classic filter just sees a well-written email
• A warning at the decisive moment: before the click happens
• Continuous adaptation: each reported campaign enriches detection

The problem

A compromised account behaves almost like a normal account: that is precisely what makes it hard to see. The fraudster logs in at the right hours, from a plausible IP, and does things the account is authorized to do. Periodic controls come too late.

The deployed solution

The agent builds a behavioral fingerprint per account — schedules, tools consulted, types of operations, volumes, sequences — and flags any significant divergence. It detects what a rule cannot: a use at odds with the role, activity that intensifies before a resignation, an unusual consultation of sensitive data, a combination of accounts that have no reason to act together.

Results

• Detection of uses that look legitimate but are abnormal in context
• Full traceability: each alert is logged and assigned to an owner
• A shorter window between the start of the fraudulent use and its detection

The problem

Companies run dozens of AI agents without knowing exactly who does what, who is responsible for what, or how to prove to the regulator that each decision is justified. The French barometer of 200 deployments shows that human supervision raises go-live from 73.9% to 83.6% — it is not a comfort, it is a success factor.

The deployed solution

Orbit maps the fleet, names an owner per agent, detects drift (hallucinations, bias, forbidden calls) with adjustable thresholds, and exports an evidence pack an auditor can use: logs, KPIs, decision history.

Results

• An identified owner for each agent in production
• Drift intercepted before it affects customers
• A regulator evidence pack available as a single export

The problem

Employees enter and check invoices by hand, a repetitive, low-value task that absorbs whole days. Documents arrive in every format — structured PDFs, scans, plain emails — and data-entry errors cost in corrections and payment delays.

The deployed solution

FACELEC reads the document whatever its format, extracts the data, checks it against your rules (VAT, vendor, purchase order) and injects it into your tool. Ambiguous cases are isolated for human validation; the rest goes through without intervention.

Results

• Automated processing of the routine flow, human validation on sensitive cases only
• An end to re-keying and typo errors
• Compliance with the 2026-2027 electronic invoicing mandate

The problem

Case-law research and contract review mobilize highly qualified hours on repetitive tasks. And in this profession, "probably right" is not an acceptable standard.

The deployed solution

JuriAI searches your document base and public case law, summarizes with the references, and prepares the contract review by flagging risky clauses. The agent works on sovereign infrastructure: files do not leave your scope.

Results

• Hours of research brought down to a few minutes
• Contract review prepared, so the expert focuses on the analysis
• Confidentiality preserved: France hosting, data not exposed to third-party services

The problem

The same questions come back endlessly — order tracking, returns, disputes, opening hours. They occupy the teams and, outside business hours, nobody answers: every unhandled request is a customer who starts to doubt.

The deployed solution

An agent connected to your content and your data (orders, accounts) answers based on real information, not guesses. It handles the routine flow and hands off to the right person as soon as a case falls outside the frame.

Results

• Always-on availability, including outside business hours
• Deflection of the routine flow, with the team refocused on high-value cases
• Answers based on your real data, not approximations

The problem

You cannot entrust certain data to a service hosted outside France, but you want to benefit from AI like everyone else. Consumer solutions are ruled out on principle; internal projects stall for lack of suitable infrastructure.

The deployed solution

We deploy the models on sovereign infrastructure, isolated per client, with encryption and documented governance. Your data stays with you, and you have the same capabilities: agents, document search, automation.

Results

• No data sent to an uncontrolled public cloud
• AI capabilities on par with the market, within your scope
• Documented GDPR and EU AI Act compliance, with an audit trail