AI agent for business

Custom AI agents for your business in Brussels.

Partna designs and deploys AI agents for Belgian SMEs: handling enquiries, searching documents, preparing quotes and following up with customers. They connect to your tools with a scope, permissions and approval rules defined together.

See what we install
Scope

a defined process and access permissions

Pilot

tests on authorised cases

Measurement

a result compared with the baseline

Connected toSheetsNotionGmailHubSpotGoogle DriveSlackDocsOdooAirtable

The short answer

What is an AI agent in a business?

An AI agent is a system that uses a model to interpret a request, find context in authorised sources and prepare or execute actions in tools. Its autonomy depends on the permissions granted. In a business, it must know when to stop, request approval and hand a case over to a person.

The problem

Points of friction · AI agent for business

Custom AI agents for your business in Brussels.

Today

With the system

Useful information is scattered across emails, the CRM and documents.

Choose a process and establish a baseline

The same request requires several searches and repeated data entry.

Connect only the sources you need

A demonstration does not show how to handle your exceptions.

Configure actions and approvals

Responsibilities, costs and support after launch remain unclear.

Test and monitor operations

Live

A request arrives. See what happens next.

Illustrative scenario: approvals and exceptions still need to be defined with your team.

SlackSlack#direction
YYOUPrepare the morning update with the files that need checking.
YYour operations agentI’ll take care of it now.
Send a message

Meanwhile, in your tools

Sheets

Choose a process and establish a baseline

Gmail

Connect only the sources you need

Slack

Configure actions and approvals

Airtable

Test and monitor operations

Scope · a defined process and access permissions

What we install

The complete infrastructure for your workflow.

Each step is built, connected to your tools and tested on your real cases before launch.

Step 1 / 4

Choose a process and establish a baseline

We describe the incoming request, the information required, the expected result and the people responsible. Volume, processing time and human interventions provide the baseline.

Connected toSheetsNotion

Pilot monitoring

What to monitor during the pilot

Scope

a defined process and access permissions

what the system can do and what still needs approval

Pilot

tests on authorised cases

routine cases, exceptions, duplicates and denied access

Measurement

a result compared with the baseline

processing time, checks, corrections and operating cost

Orders of magnitude observed on typical deployment scenarios, given to situate the extent of the change. These are not measured customer results: yours are quantified during the audit, on your data.

Your safeguards

What stays under your control.

Giving a system access affects your data and processes. These are our default safeguards.

You stay in control

We start with approval for every action. Only what you explicitly authorise, case by case, runs on its own.

Your accounts stay yours

Accounts, domains and hosting remain in your name. You can disconnect whenever you choose.

Approvals before sensitive actions

Sensitive actions use drafts and approval queues instead of direct writes.

Questions

The questions we are asked

AI agent or conventional automation: how to choose?

A stable rule, such as copying a field or sending a deadline reminder, can be handled by a conventional workflow. An agent becomes useful when interpreting variable text or finding context. The two can work together: AI preparation followed by deterministic actions and approvals.

How does it differ from a chatbot?

A chatbot is a conversational interface. It can be connected to an agent, but answering a question does not mean having permission to take action. The choice depends on the required actions, sources and controls, not the product name.

Which uses suit an SME?

Drafting replies to enquiries, finding documents, summarising files and suggesting the next follow-ups are possible starting points. Each use is tested on your cases before extending autonomy.

Can an agent make mistakes?

Yes. Testing, defined sources and approvals reduce some risks without eliminating errors. A case outside the agreed scope must be handed to a person. A sent email or a deletion cannot always be undone: permission for these actions is decided before launch.

How do you assess the project's value?

We compare similar cases before and after the pilot: total time, review time, errors, exceptions and operating cost. A demonstration shows a workflow; it is not proof of productivity in your business.

How much do agents and their maintenance cost?

Scoping defines the tools, volumes, models, hosting, approvals and support. The quote separates implementation, third-party services and agreed maintenance. No universal price is meaningful without this scope.

We look at your case before promising anything.

A call to understand what is costing you the most today, and to tell you frankly if we are the right person to talk to.