AI automation for small businesses

AI automation consultant:
your processes on autopilot.

AI agents, custom programs built with Claude Code, content pipelines: as an independent AI automation consultant, I automate the work that eats up hours of your week, without sacrificing quality. AI handles the volume, you keep the final say.

  • Custom-built for your tools
  • Claude Code under the hood
  • 24 h to get a reply
  • Free assessment
In one sentence

What is AI automation?

AI automation means handing over to programs and AI agents the repetitive tasks that call for a little judgment: reading, sorting, summarizing, writing, enriching, then passing the result to the right tool. Where classic automation follows a fixed rule ("if this field equals X, do Y"), AI understands an email, a customer review or a supplier sheet, and produces an answer you can use.

For a small business, the stakes are simple: win back hours. Monitoring, lead qualification, review replies, reporting, product pages, content: these tasks come back every week and tie up skilled people on low-value work. I identify them, automate them with tools built for you, and leave the final decision to your team. For a broader overview, my guide to business process automation details the method.

My AI automation rules

No gimmicks. Every automation is chosen for its measurable return on investment, in hours saved or output increased. And on every project, three principles never change.

01

Humans decide

AI handles the volume, humans keep the final say. Every piece of published content and every sensitive action goes through an approval step.

02

You own the code

No subscription to a third-party no-code platform: you walk away with your programs, documented and maintainable.

03

Your data comes first

Every project starts with a scoping phase: what can go through an AI API, and what must stay in-house.

AI automation services

Three ways to make
AI genuinely useful.

Depending on your needs, I deploy an agent, build a program or set up a full content pipeline. Often, the three work together.

Tasks you want to delegate

AI agents

Agents that carry out real tasks: competitor monitoring, lead qualification, review replies, brief preparation. They run around the clock, you approve.

  • Scoping of the remit and the guardrails
  • Deployment and connection to your tools
  • Built-in human oversight
Understand AI agents →
Tools that don't talk to each other

Custom programs

Scripts and internal tools built with Claude Code: your repetitive tasks connected end to end. CRM, email, social media, reporting: everything finally talks to each other, and you own the code.

  • Mapping of the tasks you can automate
  • Development and testing of the programs
  • Documentation and training for your team
Discover Claude Code →
You need content on a regular basis

Content pipelines

From monitoring to publishing: ideation, briefs, AI-assisted writing, multichannel repurposing. You produce more, and better, without hiring.

  • An AI-powered editorial workflow
  • Quality control and brand voice
  • Repurposing for blog, LinkedIn, newsletter, video
See my SEO consulting →
Real-world examples

AI automation:
what it looks like in practice.

Six processes I automate regularly. What they have in common: a recurring task, data to read, a human decision at the end.

Monitoring and editorial briefs

Content pipeline

The agent monitors your sources, spots the topics that matter, generates prioritized briefs every morning, then prepares a first draft. A writer reviews, edits and publishes.

Seen at an online media outletMonitoring of 40 sources, 30 hours of production saved every month, editorial output doubled.

Inbound lead qualification

AI agent

Each lead is enriched (company, size, industry), scored and routed to the right salesperson with a personalized draft email. The salesperson tweaks it and sends it.

Seen at a B2B small businessLead response time cut by a factor of four.

Product pages from the catalog

Custom program

The program reads the supplier catalog, writes SEO-optimized product pages and prepares them in batches for review, before import into your online store.

Seen at an e-commerce store400 product pages published in three weeks instead of six months.

Replies to customer reviews

AI agent

The agent reads every new review, identifies its tone and the issue raised, then suggests a reply in your style. You approve in one click, or rewrite it.

Human in the loopNo reply goes live without review, especially on a negative review.

Weekly reporting

Custom program

The numbers from your tools (CRM, analytics, sales) are collected, consolidated and commented automatically. The report arrives ready to read, with the gaps that deserve your attention.

Ideal first projectA frequent task with structured data: a good effort-to-gain ratio.

Multichannel repurposing

Content pipeline

An approved article becomes a LinkedIn post, a newsletter and a video script, each adapted to the channel's format and tone. Your team reviews and schedules.

Needs scopingBrand voice is set up front, using your best content as the model.
Who it's for

Is custom AI automation
right for you?

I would rather tell you on our first call: not every task deserves a custom program.

A good fit if

  • You run a small business and skilled people spend hours every week on repetitive tasks.
  • Your tools (CRM, CMS, Google Workspace, Notion) don't talk to each other and everything relies on copy-paste.
  • You want to produce more content without hiring, and without losing your voice.
  • You want to stay in control of your code and your data, without depending on a platform.
  • You accept that a human approves what the AI produces.

Not a fit if

  • You want to replace your team with AI, with no review at all.
  • A simple link between two apps is enough: a no-code tool such as n8n will do the job, and I will tell you so.
  • The task comes up once a quarter: automating it will cost more than it brings in.
  • Your data is too sensitive to go through an API, and no alternative (European model, anonymization, local processing) works for you.
Method

How I run an
AI automation project

Four steps. I always start with the automation that has the best effort-to-gain ratio, and nothing gets connected without your approval.

  1. 1

    The assessment

    Together we map your repetitive tasks: frequency, time spent, tools involved. I turn that into a list ranked by effort-to-gain ratio.

  2. 2

    The scoping

    Allowed data, guardrails, human approval points: I define what the AI does on its own and what goes through you, before writing a single line of code.

  3. 3

    The build

    I build the agent or program with Claude Code, connect it to your tools and test it on your real cases before it goes live.

  4. 4

    The handover

    Documentation, team training, a supervised period: you know how to use, monitor and adjust your automations without writing code.

How many hours go into repetitive tasks every week? Free automation assessment during our first call.

Book a call →
AI automation FAQ

Frequently asked questions

AI automation hands over to programs and AI agents the repetitive tasks that call for a little judgment: sorting emails, qualifying leads, writing briefs, replying to reviews, producing product pages. Unlike classic rule-based automation, AI understands text and produces a usable answer, which a human then approves.

Claude Code and custom-built programs for orchestration, the Claude, OpenAI and Mistral APIs for the intelligence, and your existing tools (CRM, CMS, Google Workspace, Notion...) as connection points. No subscription to a third-party no-code platform: you own the code and your team can maintain it.

Every project starts with a data scoping phase: what can go through an AI API, what cannot, and the alternatives (European models, anonymization, local processing). Nothing gets connected without your approval.

No. I deliver documented systems with training included: your team knows how to use, supervise and adjust the automations without writing a line of code.

A simple program: a few days. A content pipeline or a full agent: 2 to 6 weeks depending on the integrations. I always start with the automation that has the best effort-to-gain ratio.

Classic automation runs a fixed rule: when a given event happens, take a given action. An AI agent receives a goal, reads the available information, chooses the steps and uses your tools to reach it. It handles unexpected cases better, which is why I always frame it with guardrails and human approval.

The ones that come up often, take time and rely on data you already have: reporting, lead qualification, review replies, monitoring, product pages. I rank them by effort-to-gain ratio during the assessment and start with the one that frees up the most hours for the least development.

The price depends on the number of tasks, the tools to connect and the level of oversight you expect. I work on a quote basis, after a free assessment during our first call, with a reply within 24 hours. AI API usage costs come on top, and I estimate them with you before development starts.

Contact

How many hours go into repetitive tasks every week?

Free automation assessment during our first call. I tell you what to automate first, and what is not worth it. Reply within 24 hours. I work remotely, in English or French, for clients in France and abroad.

Automate my processes →