Answer and qualify
The agent answers from your information, asks the right questions and passes on a structured request.
AI agent development for businesses
A useful AI agent, connected to your tools.
An AI agent reads your information, answers a request and can carry out specific actions. We define what it knows, what it can do and when it has to hand over to your team.
Meetings in Lille or NiceProjects delivered remotely
Use cases
What an AI agent can take on
We do not try to automate everything. We pick the steps where the agent cuts a delay, a re-typing job or a repetitive search without hurting the customer relationship.
Search your documents
Your teams find a procedure, an offer or a clause without digging through several folders.
Sort messages
Requests are summarised, classified and routed to the right person according to your rules.
Prepare meetings
The agent gathers context, suggests an available slot and prepares the useful information.
Update your tools
A record can be created or completed after checks, without re-typing between tools.
Assist an internal team
The agent prepares a reply or a next action, which your team remains free to approve.
YALMA demo
Hermes, a qualification assistant
Hermes answers questions from company information, collects a prospect’s needs and prepares the hand-over. Requests outside its scope stay with a human.
- Answers grounded in your content
- Qualification questions defined with you
- Structured requests passed on
- Available outside office hours
H
Hermes IA Concierge
Demo available
“Hello, tell me about your project. I can point you to the right expertise and prepare your request.”
Live AI product
HearType turns voice messages into usable text
HearType transcribes audio messages and summarises them for WhatsApp and Telegram. It shows what a specialised agent looks like: a clear input, a precise job and a result you can use straight away.
Built by YALMA developers
See the HearType projectAI can also assist a business chat.
For a client, we built a dashboard and a chat powered by AI-generated replies, to make conversations easier to handle. The project combines our AI work with custom business software.
A method that tests the limits
A reliable agent is not judged on a perfect demo. We also check missing information, ambiguous requests, tool errors and the topics it must refuse.
- 01
Choose the right process
We start from a real task: who does it, how often, with which data and which exceptions.
- 02
Set the limits
Allowed sources, possible actions, refused topics and hand-over to a human are written down before the prototype.
- 03
Connect and test
We connect the tools needed and test the agent on normal, incomplete and sensitive scenarios.
- 04
Roll out gradually
The scope opens in stages. Errors and unresolved requests are used to improve the system.
Limited data
The agent only reaches the information its job needs and the environments you approve.
Measured results
We track resolved requests, refusals, errors and the time actually saved.
Useful connections
Website, calendar, mailbox, CRM or documents: each connection has to serve a specific action.
Where we work
AI agents from Lille and Nice, projects anywhere
We can hold scoping sessions in Lille or Nice to understand your tools and teams. Development, testing and follow-up can then happen on site or remotely.
Frequently asked questions
What to know before launching an AI agent
What is an AI agent for a business?
Software that can read information, answer a request and carry out specific actions in your tools. Its permissions, its sources and the cases handed to a human are set before it goes live.
Which processes can an AI agent automate?
Repetitive requests are the best starting points: lead qualification, document search, drafting replies, sorting messages, meeting notes and updating business tools.
Can an AI agent connect to our current tools?
Yes, if those tools offer a suitable technical connection. We can connect it to a website, a calendar, a mailbox, a CRM, a document base or an internal application.
How do you stop it from making answers up?
We limit the sources it uses, set refusal rules, test real scenarios and plan a hand-over to a human when information is missing or sensitive.
How much does building an AI agent cost?
The budget depends on the number of tools to connect, the data volume, the actions allowed and the level of control expected. After a first conversation we propose a scope and a detailed quote.
What is the difference between an assisted chat and an autonomous agent?
An assisted chat helps write or find information. An autonomous agent can also act inside software. For your project we spell out which actions are suggested, which need approval and which can run automatically.
How do you measure what an automation saves?
Before the project, note the time spent on a task, its volume and the frequent errors or rework. Then compare the same measures on similar cases with the new tool. The gain depends on your real use and cannot be read off a demo.
What costs and timelines follow the prototype?
The schedule depends on the connections available, data quality and the tests to run. The quote separates development from any recurring costs: hosting, AI model calls, third-party services and maintenance. Going to production is defined once the scope is approved.
Do you work in Lille and Nice?
Yes. YALMA can hold scoping meetings in Lille or Nice. Development and follow-up can then happen on site or remotely, anywhere in France and abroad.
Which task costs you time every week?
Describe it simply. We will tell you whether an AI agent makes sense, what needs connecting and where to keep a human approval.