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Control · Governance

Your AI agents work, you stay in control

Every irreversible action waits for a person’s approval: a rule built into each agent from the design stage.

Example
Complaints agent · approval requested

Reply to a customer’s complaint

Prepared by the agent, to be reviewed before sending.

Waiting for your approvalSent after your approval

The principle01

Who decides what, action by action?

Before go-live, you approve the mode of each action.

  1. Example: the minutes of a meeting

    It acts alone

    On what is reversible and low-stakes.

  2. Example: the reply to a complaint

    It prepares, you approve

    A person reviews and approves, before the action goes out.

  3. Example: a payment

    It prepares, you decide

    The agent gathers and prepares; the decision and the action remain human.

Safeguards02

Six decisions that always stay human

  • Pay

    A payment or a transfer: the agent prepares, a person executes.

    a person decides
  • Sign

    The agent can prepare and compare; it does not commit the company.

    a person decides
  • Set a price

    The agent calculates; the price is still approved by a person.

    a person decides
  • Publish without review

    A public mistake costs more than the time saved.

    a person decides
  • Handle a sensitive dispute alone

    A delicate complaint or a situation of distress calls for a person.

    a person decides
  • Settle a strategic decision

    An advisory agent prepares and challenges; it does not decide for you.

    a person decides
Deliverables03

What comes with every agent

Included in every project: neither an option nor an extra.

  • A log of what it does

    What it has handled, the errors, the alerts and the indicators agreed with you.

  • A trail of its decisions

    To understand why it acted as it did, kept for the agreed periods.

  • Access limited to what is necessary

    Revocable at any time; you approve the people and the roles.

  • Reference documentation

    Who has access to what, where the data flows, who approves what, and how to take back control in case of error.

Checks04

Tested on your real cases, monitored over time

  1. From the design stageHand overwhen the agent does not know, it says so, and passes it on to the right person
  2. Before go-liveCheck that it answers correctlyon your real cases (15 to 30 cases for a Process Agent)
  3. At go-liveGet starteda session for your teams: what to entrust to it, and what to do if it gets it wrong
  4. Then, over timeMonitorwith Monitoring: fixes, adaptation to your tools, value report
Ownership05

You remain the owner

What is handed over to you

  • The code, the instructions given to the AI, the connections to your tools: what we write for you belongs to you, except third-party tool licences.
  • The choices of AI models, providers and technologies, documented, justified and open to review.

Ground rules, in writing

  • Agreed result not met at final approval: the final payment is not invoiced, and we complete the work, up to two days at our expense.
  • Project found infeasible at the end of an audit: we stop there, and you keep the file you have paid for.
  • Agreed access or information not provided: the project is paused until it arrives.
Free · no commitment

Where to start? Two minutes to find out.

Get your AI maturity level in a few clicks, the offer to start with and your first use cases.

  1. 2 minthe Flash Diagnostic, online
  2. 1 hthe Scoping Meeting, free
  3. 72 hyour written report
FAQ06

Your questions

Can an AI agent make mistakes?

Yes, and denying it would be a lie. It can misread a document, misapply a rule, or invent a plausible answer when information is missing (what is called a hallucination). We design it so that errors are rare, visible and can be put right:

  • it is checked on your real cases before go-live (15 to 30 cases for a Process Agent);
  • it answers from your sources, and hands over when it does not know;
  • whatever commits the company is approved by a person;
  • every decision leaves a record and, with Monitoring, how it works is followed over time.

The acceptable level of error depends on the cost of an error: each action is therefore classified by what is at stake.

Who approves what the agent does?

You do, depending on what is at stake in each action. The mode of each action is written down before go-live, and you approve it:

  • it acts alone on what is reversible and low-stakes, such as the minutes of a meeting;
  • it prepares, you approve what goes outside the company, such as the reply to a complaint;
  • it prepares, you decide and carry out what cannot be undone, such as a payment.

By default, what goes to your customers is therefore approved by a person. This setting remains yours: for payment reminders, for example, you can let the first courteous ones go out on their own, or exclude certain customers from any automatic reminder.

Can an agent pay, sign or commit the company without us?

No. No irreversible action goes out without a person’s approval: it is a design rule, not an option. An agent never does any of these alone:

  • pay or make a transfer: it prepares, a person executes;
  • sign, or set a price;
  • publish without review;
  • handle a sensitive dispute: for a delicate complaint, it reconstructs the history and prepares the reply, a person approves it;
  • send a formal notice, or settle a strategic decision.

It can prepare, compare and calculate everything. The decision remains yours.

Who is responsible if the agent gets it wrong?

Your company remains responsible for what it does, with or without an agent. That is why actions that commit it remain approved by a person. Each agent also comes with a log of what it does and a trail of its decisions: you can understand an error, correct it and prevent it from happening again. The documentation handed over explains how to take back control in case of error.

Does the agent have access to all our data?

No. It only accesses the data and tools it needs for its work, read-only or with write access, as written down at the start. You approve the people, the roles and the access levels; they can be changed and revoked at any time. The documentation delivered with each agent says who has access to what and where the data flows, and the “Where your data goes” page, attached to the proposal or the contract, names the providers involved.

How do you test an AI agent before it goes live?

We check every AI agent against your real cases before it goes live: 15 to 30 cases for a Process Agent, difficult cases included. This testing is on us, not on you:

  • in your software’s test environment, when its provider offers one, switched on with your agreement on your account;
  • otherwise in observation mode: the agent handles the real cases without writing anything into your tools; it proposes, a person checks.

Final approval follows, tied to the agreed result. Any cost of a paid test environment is set out in the quote: you know it before you sign. Afterwards, Monitoring, if you choose it, re-checks on your cases every month, as soon as a process is in service.

Are an AI agent’s traceability and safeguards included in the price?

Yes: every agent we put into service comes with its traceability and safeguards, included in the project, neither an option nor an extra. Adapted to its scope, they are:

  • a log of what it does: what it has handled, the errors, the alerts and the agreed indicators;
  • a trail of its decisions, kept for the agreed periods;
  • access limited to what is necessary, which you approve and can revoke at any time;
  • reference documentation: who has access to what, where the data flows, who approves what, how to take back control in case of error;
  • a person’s approval for every irreversible action.

You keep them even without Monitoring; if you choose it, Monitoring maintains them over time.

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