AI agent development

Immediate answers for your customers, from a freelance AI agent developer.

Your team keeps the cases that matter: an agent handles the recurring questions, the sorting of inbound requests, the search through your documents. I design it, connect it to your tools and put it in production. If a simple form or an FAQ is enough, I will tell you. An AI agent has to earn its place.

What an agent does for you

An agent is a slow task that disappears.

Every agent targets a measurable outcome: time handed back to your teams, a faster answer for your customers, a lead handled even outside office hours.

24/7 customer answers

A conversational agent that answers your customers' questions instantly, at any hour, instead of a 20-minute search through your docs or an email that waits until tomorrow.

  • Answers in seconds, not in 20 minutes
  • Draws on your real documents
  • Cites sources, says when it does not know
  • Hands off to a human on sensitive cases
Best for

customer support, product FAQ, internal help, cutting the volume of repetitive tickets.

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Most requested

Leads qualified on arrival

An agent that sorts and qualifies your inbound requests before your sales team touches them: it asks the right questions, scores the lead, fills the CRM and flags the priorities.

  • Qualifies 24/7, even outside office hours
  • Writes straight into your CRM
  • Surfaces hot leads first
  • Your reps only talk to the right contacts
Best for

B2B prospecting, inbound forms, sales teams wasting time on cold leads.

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A first draft in seconds

A copilot that searches your knowledge base and drafts a first version from your own documents: a summary, a template reply, a case digest.

  • Synthesises several documents at once
  • Drafts something to validate, not to retype
  • Stays in your tone and vocabulary
  • Saves hours on repetitive tasks
Best for

support, legal, HR, operations: any team that searches and drafts from internal documents.

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Your use case is not on the list? That is normal: an agent is built around one precise task. We frame yours in 30 min.

How a project runs

From scoping to production, no detour.

We target one task, check the agent does it well, then push it to production and expand it. You see a result before investing more.

01

Use-case scoping

We start from the expected outcome, not the tech. Which slow task to remove, on what data, with what measurable gain. 30 min is enough to decide.

02

Testable prototype

A first focused agent, wired to a sample of your real data. We test it on real questions and adjust before going further.

03

Production rollout

We connect the agent to your tools, add the guardrails (human validation, logs, limits), and deploy it where your teams already work.

04

Follow-up and expansion

We watch real usage, fix the blind spots, open new cases. Through a monthly support plan, on quote, if you want a regular presence.

Framework & trust

Serious about the code and your data.

An AI agent touches your data and speaks in your name. The framework matters as much as the build. Here is how I work.

01

You own the code

A Git repository you own, admin access, clear documentation. No hidden lock-in: everything is transferable to another team whenever you want.

02

GDPR & EU hosting

Hosting available in France or Europe. We restrict what is sent to the models and isolate sensitive data.

03

One point of contact

The person who scopes is the one who codes, deploys and maintains. No hidden subcontracting, no middleman between you and the code. You have my number.

04

Maintenance & NDA

Maintenance through a monthly support plan, on quote, at your pace. NDA signed on request before any detailed discussion about your product or data.

FAQ

Questions I get about agents.

Is a custom AI agent reliable in production?

Yes, provided it is scoped correctly. A reliable agent is bounded: it answers within a defined perimeter, cites its sources when it draws on your documents, and knows how to say it does not know rather than inventing. Guardrails are added (human validation on sensitive cases, readable logs, tests on real questions) before going to production. Reliability comes from the scoping, not from a model left loose.

What happens to my data?

Your data stays yours. The agent is only wired to the sources you authorise. An NDA can be signed before any detailed discussion.

How long does it take to build an AI agent?

A first useful agent is often delivered in a few weeks. We start with a prototype focused on one precise use case (answering a typical question, qualifying a lead), quickly testable, then push it to production and expand it. A simple conversational agent ships in one to two weeks; a copilot wired to a document base takes a bit more.

How much does a custom AI agent cost?

The price depends on scope, framed in 30 minutes. A first scope starts as a Sprint from €2,500; a full agent or a copilot is priced on quote, depending on the sources to connect. Add the usage cost of the models, pay as you go, and a monthly support plan on quote if you want ongoing help.

Can the agent plug into my tools?

Yes. A useful agent is connected: it reads and writes in your CRM, your document base, your inbox or your business tools. It can trigger actions (create a record, send an email, notify a team), not just answer, within a perimeter validated during scoping.

How is this different from a regular chatbot?

A regular chatbot follows pre-written scripts and stalls the moment you step off the path. A custom AI agent understands the request in natural language, retrieves the answer from your real data, and can act in your tools. It does not recite a decision tree: it reasons within a scoped perimeter, cites its sources, and hands off to a human when needed.

Shall we scope your agent?

Describe the task you want to hand to an agent. In 30 min, I tell you if it is doable, how, and how long it takes. No commitment.

Book a call Chat with my AI agent Direct email

Mathieu Haye is a freelance AI agent developer based in Paris. He builds custom agents that answer your customers 24/7, qualify your inbound requests and retrieve an answer from your documents in seconds. The starting point is always the same: a slow manual task to remove, with a measurable gain attached.

AI agent developer or agency: which to choose?

With a freelance developer, you talk directly to the person building the agent. Decisions are made fast, without the structural overhead of an agency. For a focused agent, an internal copilot or an automation, it is a fast and economical route. For a product that needs several teams in parallel over months, an agency remains the better fit.

A few delivered projects

The examples are anonymised. One client replaced their off-the-shelf CRM with a fully custom CRM, built around their processes. A weekly AI newsletter goes out every week with no manual work. A B2B prospecting pipeline and several automations run in production.

The technical side, in short

Document search over your own data (RAG), readable orchestration with n8n, API connections to your tools: the setup stays simple and transferable.

You can see what an agent can do for you. To go further, book a scoping call or describe your need to my AI agent. See also: the AI agent for SMEs, n8n automation, the AI freelance, a custom CRM, a custom web app, AI visibility (GEO), your AI maturity, the home page and the journal.

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