// AI · SMB · Paris · GDPR

Freelance AI consultant
for SMBs in Paris.

As a freelance consultant, I deliver the technical layer of your AI: 1 to 3 targeted agents (FAQ, email triage, quote generation, RAG search) connected to your data via LLM API (Claude, GPT-4, Mistral). Full GDPR validation remains in shared scope with your DPO. First results in 4-8 weeks, from €2,500.

See real use cases

// The 2026 context

AI in SMBs is no longer science fiction. It's a concrete competitive edge.

Per the France Num 2025 Barometer, the number of French SMBs using AI doubled in one year (26 % in 2025 vs 13 % in 2024). Those integrating AI in internal processes (triage, writing, search, support) gain 10-25 % admin productivity. Those that don't fall behind: competitors respond faster to prospects, output quotes in 5 minutes instead of an hour.

But the trap is to rush on a generalist €30/month agent or an "enterprise GPT" without architecture. Without strict RAG, without guardrails, without integration to real processes, it generates hallucinations, exposes personal data, and ends up abandoned in 3 months. AI in SMBs must be designed as a business tool, not a gadget.

My approach: one use case at a time, connected to your real data, with human validation on critical actions, and documented GDPR compliance. We start small, measure ROI, scale what works.

GDPR compliance: the CNIL published its 2025 recommendations on AI and GDPR. For sensitive data I favor Mistral La Plateforme (France hosting, GDPR-native). Anthropic and OpenAI offer compliant DPAs for their APIs.

// Real use cases

4 AI agents that genuinely change an SMB's daily.

Website FAQ agent

€2,500 to €5,000

An AI assistant connected to your knowledge base answers 80 % of repetitive prospect questions (prices, timelines, conditions, method), 24/7, in flawless French. Your sales team only handles real opportunities.

Intelligent inbound email routing

€3,000 to €6,000

Every email arriving in your support inbox is AI-analyzed, classified by urgency and type, summarized in 3 lines, and assigned to the right team member. First response time divided by 5.

Quote generation from client brief

€5,000 to €10,000

AI reads the client brief (email, form, call transcript), identifies key elements, and proposes a pre-filled quote with the right clauses. You validate or adjust in 5 minutes instead of 45.

RAG search in document archives

€8,000 to €18,000

For law firms, CPAs, architects: find a client precedent, a doctrine note, an urban-planning file across thousands of documents with a natural-language question. No more drive digging.

// LLM Stack

The right LLM for the right case, not one LLM for everything.

Claude (Anthropic)

Strength

Long tasks, structured reasoning, polished FR writing

Ideal case

Quote generation, document analysis, premium conversational agents

GPT-4 (OpenAI)

Strength

Versatility, mature function calling, vision and audio

Ideal case

Generalist agents, tooled integrations, multimodal

Mistral (France)

Strength

EU sovereignty, France hosting, GDPR-native

Ideal case

Sensitive data: legal, accounting, healthcare, public sector

// Frequently asked

Everything you want to know about AI for SMBs in 2026

How to concretely and legally integrate AI in a Paris SMB in 2026?

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Integration starts with identifying 1-2 fast-ROI use cases (email triage, quote generation, FAQ agent, RAG search) in **shared scope between your team and me**. First results in 4-8 weeks. **My scope (technical layer)**: LLM integration via API (Claude, GPT-4, Mistral), prompt engineering, RAG on your sources, technical guardrails, selection of a provider with EU hosting when possible. **Your scope (legal / GDPR layer)**: your DPO or lawyer validates DPAs, updates the processing register, informs data subjects, conducts DPIA if needed. Without an identified DPO or legal counsel, I may limit the mission to use cases not requiring complex GDPR validation.

Claude, GPT or Mistral: which to choose for my SMB?

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Claude for long tasks and polished French writing, GPT for versatility and mature tooling, Mistral for EU sovereignty when data is sensitive. GPT-4 (OpenAI) remains the most versatile and tooling-mature (function calling, vision, audio). Claude (Anthropic) is better on long tasks, structured reasoning and polished French writing. Mistral (French, EU hosting) is best when data sovereignty is a priority (general-purpose law firms, accountants on standard B2B data). I often recommend a mix: Mistral on the backend for sensitive work, GPT or Claude for premium tasks. **Out of scope**: sectors requiring specific certifications (HDS healthcare, certified public sector, defense, OIV operators) — those missions need certified hosting and regulatory expertise I don't have in-house.

How much does an AI agent for a Paris SMB cost?

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Simple site FAQ agent (LLM + 10-50 document knowledge base): €2,500 to €5,000. Conversational agent with memory and CRM integration (24/7 client response, booking, human escalation): €5,000 to €12,000. Complex business agent (quote generation, document analysis, archive RAG search): €12,000 to €30,000. Recurring inference fees: €30 to €300/month depending on volume.

Is AI GDPR-compatible for a French SMB?

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Yes, subject to four principles — but **legal validation remains the responsibility of your DPO or GDPR legal counsel**, not mine. **What I deliver** (technical layer): (1) selection of an LLM provider with EU endpoint when possible (Mistral La Plateforme, OpenAI Europe, Anthropic via AWS Bedrock EU); (2) technical configuration to avoid sending non-anonymized personal data; (3) documentation of LLM subprocessors used; (4) technical guardrails (human validation on critical actions, source citation). **What remains your responsibility** (legal validation): drafting and signing DPAs, updating your processing register, informing clients in your privacy policy, conducting DPIA if needed. Without an internal DPO or identified GDPR legal counsel, I may decline the mission or limit it to use cases not requiring complex validation. I **do not provide off-the-shelf DPA or legal notice templates** — that's the job of your DPO or lawyer. I can connect you with specialized partners.

What's RAG and when do you need it?

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RAG (Retrieval Augmented Generation) connects an LLM to your document base (CRM, drive, archives, internal FAQ) so it answers with your data rather than its generic knowledge. Essential when you want: an FAQ agent answering with your real pricing, intelligent search in your legal or accounting archives, an assistant drafting quotes with your standard clauses. Typical implementation: 4-8 weeks, vector embeddings (Pinecone, Supabase pgvector) + Claude/GPT/Mistral LLM.

How to avoid AI hallucinations in a business context?

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Four cumulative techniques, but **no guaranteed quantified precision**: LLMs remain probabilistic by nature. (1) **Strict RAG**: AI only answers with your sources, not its general knowledge. (2) **Structured prompts** with explicit constraints and examples. (3) **Post-generation verification**: AI must cite sources, a second LLM can check coherence. (4) **Business guardrails**: human validation required for any critical action (sending quotes, CRM edits, payments, external email). Combined, these techniques significantly reduce errors but don't eliminate them. **I don't commit to a quantified error rate**: real-world feedback is used to tune prompts and guardrails, not to promise absolute precision. Truly critical actions always remain under human validation.

How long to deliver a first useful AI agent?

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A simple site FAQ agent (with your knowledge base): 2 to 4 weeks after brief. A conversational agent with CRM integration: 4 to 8 weeks. A complex business agent (RAG, document generation, multi-step): 8 to 16 weeks. The limiting factor is almost never code, it's your knowledge base quality: if clean and structured, we move fast. If scattered across 12 tools, we consolidate first.

Which AI use case for your SMB?

Let's start with the diagnosis.

45-minute discovery call. You leave with 1 to 3 priority use cases, the right LLM for each and a concrete price range.

See also N8N automation

Or see 6 delivered case studies