B2B AI & artificial intelligence agency

Agents in production in 3 weeks.

Uclic is an AI agency: we put artificial intelligence to work in your operations, not in slide decks. Agents and automations in production in three weeks, plugged into your tools, measured on time saved and errors avoided. For SMBs, mid-market companies and scale-ups that want results, not a demo.

3 wks for a first AI agent in production48 h free AI audit, delivered within1 senior AI engineer leads the project
WladimirAlexis
Free growth audit
With Wladimir & Alexis30 minGoogle Meet
  1. 1Time slot
  2. 2Your details
ANSSI
Santévet
Gusella Bakker
Le Monde
Agicap
CodinGame
Deepki
7 AI building blocks

How our AI agency supports you from POC to production

Each building block can be launched on its own or chained with the others, depending on the maturity of your data and your teams.

Start here

AI audit & scoping

We map your repetitive tasks, select three use cases based on volume, risk and expected time saved, and estimate the inference cost of each.

48 hreport delivered
Use casesROIInference costRoadmap
Moussa BallDedicated expert Moussa Ball AI Architect & Full-Stack Engineer
Automate tasks

Business AI agents

Agents that read a request, consult your tools, prepare a response or an action, and hand off to a human as soon as the rule requires it.

3 wksto get a first agent into production
SupportSalesBack officeHuman escalation
Pierre LafontDedicated expert Pierre Lafont Full-Stack Vibe Coder & AI EngineerExplore Business AI agents
Your data

RAG on your knowledge base

Indexing of your documents (Drive, Notion, PDFs, tickets), search with result reranking, answers that cite their sources. The index updates when a document changes.

Knowledge baseVector searchCitationsUpdates
Moussa BallDedicated expert Moussa Ball AI Architect & Full-Stack Engineer
Your tools

CRM, ERP and IT systems integration

We plug AI in where your teams work: CRM, ERP, support tool, messaging, business database. Connection via API or MCP servers, with permissions limited to what is strictly necessary.

CRMERPAPIMCP
Pierre LafontDedicated expert Pierre Lafont Full-Stack Vibe Coder & AI EngineerExplore CRM, ERP and IT systems integration
AI feature

AI built into your SaaS

For software vendors: summarization, natural-language search or generation inside your product, with progressive display, usage limits, a fallback model and a per-customer inference budget.

SaaSStreamingFallback modelCosts
Pierre LafontDedicated expert Pierre Lafont Full-Stack Vibe Coder & AI Engineer
Quality in production

Evals, guardrails and monitoring

Test sets replayed at every change, personal data masking, prompt injection detection, audit logs, alerts on quality and costs.

EvalsPersonal dataLogsAlerts
Moussa BallDedicated expert Moussa Ball AI Architect & Full-Stack Engineer
Automations

AI workflows (n8n, Make)

When the need is a chain of rules rather than an agent, an n8n or Make workflow with an AI step is enough. Voice agents and fine-tuning: only if a use case justifies it.

n8nMakeAI step
Pierre LafontDedicated expert Pierre Lafont Full-Stack Vibe Coder & AI EngineerExplore AI workflows (n8n, Make)
What we do differently

Your AI stack without / with Uclic

Move from isolated POCs to AI agents in production, plugged into your tools.

Without Uclic

AI stuck in POC mode

Scattered ChatGPT tests. No use case ever reaches production.

×POCs with no follow-up
×Scattered prompts
×Answers from memory
×AI outside your tools
×Quality never measured
×Untracked inference costs
×Exposed data
×Black-box AI
With Uclic

AI in production

Well-scoped use cases. Supervised agents that give your teams their time back.

uclicAI Ops
SENIOR TEAMANY LLMEVALUATIONSUPERVISION
AI that actually helps
From use case to agentEXPLORE THE SYSTEM

From use case to agent in production, every building block relies on your data and tools, under human supervision.

+

time saved

Repetitive tasks leave your teams’ daily workload.

+

reliability

Sourced answers, tested against an evaluation set.

+

control

Inference costs, access and data monitored continuously.

+

adoption

Agents built into the tools your teams already use.

Method

AI project: from use case to production agent in 12 weeks

Five steps, one deliverable per step, and a weekly check-in with your team. The first agent runs in three weeks; three use cases are industrialized in eight to twelve weeks.

  1. W11 week
    1 week· Step 1

    We observe your processes and select three use cases based on task volume, data quality, and risk. For each one: expected time saved, estimated inference cost, success criterion.

    • Task volume
    • Available data
    • Risk
    • Inference cost
    Deliverable· 3 prioritized, quantified use cases
  2. 02
  3. 03
  4. 04
  5. 05
Pricing

Pricing: how much does a project with an AI agency cost?

Free audit to scope three use cases, then a monthly package. The effort depends on the number of integrations, the volume processed, and the sensitivity of the data. Inference costs (calls to the models) are not included: they depend on your volume, are billed at actual usage, and are estimated during scoping.

Free diagnostic

AI Audit

No commitment
0€

We identify the tasks in your processes where AI saves time, select three, and quantify each one: time saved, inference cost, risk.

  • Mapping of repetitive tasksSupport, sales, back office, content: volume, time spent, available data.
  • 3 prioritized use casesRanked by expected time saved, feasibility, and risk (personal data, AI Act).
  • Estimated inference cost per use case
  • Target architecture and roadmap
Get my diagnostic
Recommendations

AI Consulting

from
€500

Monthly AI scoping and recommendations. Your technical team stays in control of development.

  • Use-case audit & ROI scoringWe audit your processes and rank three use cases (volume, complexity, time saved) with an estimated inference cost.
  • Recommended AI architectureChoice of model, vector database, hosting, and observability. A diagram your technical team can act on.
  • Prompt engineering consultingProduction-ready prompts (Claude, GPT, Mistral), system instructions, context management, examples.
  • Evals & guardrails consultingTest set methodology, automated evaluation, personal data masking, prompt injection detection.
  • Custom reporting dashboard
Start with AI Consulting
Most pickedHands-on support

AI Full

from
€1,490

End-to-end execution: AI agents, RAG, integrations, evals, and run, led by a senior AI engineer.

  • AI audit & scoping of 3 use casesProcess mapping, use-case prioritization, projection of inference cost and time saved over 12 months.
  • AI agent developmentBusiness agents connected to your tools, with escalation rules to a human.
  • RAG + MCP serversIndexing of your knowledge base and secure exposure of your internal APIs to the agents.
  • CRM, ERP, and IT systems integrationConnection to your existing tools via API, MCP, or n8n / Make workflows.
  • Continuous evals + guardrailsTest set replayed on every change, personal data masking, audit logs.
  • Run + ROI reportingMonitoring, inference cost optimization, monthly report: time saved, quality, cost per task.
Start with AI Full

See the detail of all our plans or find out who we are.

AI & data expertise

Combine AI with your automations, your CRM and your data

Case studies

Context, delivery, and results in every client story.

Present across France

AI projects managed remotely, across France

Scoping by video call, delivery in two-week sprints: SMBs, mid-market companies, and scale-ups in Paris, Lyon, Bordeaux, Marseille, Lille, Nantes, Toulouse, Montpellier.

Comparison · method published

Comparing several AI agencies?

Our ranking of French agencies, based on verified Google reviews and their actual specialty, with the method published.

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AI agency FAQ

AI agency FAQ : costs, timelines, data, and production rollout

The questions executives and CIOs ask before entrusting a first artificial intelligence project.

What is an AI agency, and what does it actually do?
An AI agency designs, deploys to production, and maintains artificial intelligence solutions for other companies. In practice, it works with you to choose which tasks to hand over to AI, connects a language model to your data (RAG), builds agents that act within your tools, then monitors quality and costs. At Uclic, a first agent goes into production in three weeks and is judged on the time it gives back to your teams.
When should you work with an AI agency rather than a software vendor?
When your need depends on your data, your processes, or several tools that must be connected. A software vendor sells a standard feature, identical for all its customers: it's the right choice if it covers most of your need without customization. An AI agency builds around your context: knowledge base, business rules, CRM. The two are often combined: the agency plugs in off-the-shelf tools rather than rebuilding everything.
What's the difference between an AI agency and an artificial intelligence consulting firm?
A consulting firm delivers analysis: maturity assessment, roadmap, governance, change management. It rarely writes code. An AI agency delivers a working system: agents, integrations, test sets, monitoring. If you already know which use case to tackle, an agency saves you a step; if the question is still "where do we start?", the free AI audit serves precisely as the scoping phase.
How much does a project with an AI agency cost?
At Uclic, the AI audit is free. After that, there are two monthly plans. AI Consulting, €500/month, with no minimum commitment: recommendations, architecture, and evaluation method, while your technical team handles development. AI Full, €1,490/month: end-to-end execution (agents, RAG, integrations, evals, run), with a 3-month minimum, then a renewable monthly commitment. Model inference costs are billed at actual usage on top; they are estimated per use case from the scoping stage.
How long does it take for a first AI agent to go into production?
Three weeks for a first, simple use case: searching an internal knowledge base, data extraction, request triage. Eight to twelve weeks to industrialize three use cases with test sets, guardrails, and monitoring. Work moves in two-week sprints, with a demo at the end of each: no six-month tunnel with no visibility.
How do you keep an AI project from getting stuck at the POC stage?
By tackling from day one what makes production rollouts fail: a use case chosen for its volume rather than its demo appeal, a measurement of time spent before the project, a test set made of real requests, an integration into the tool your team already works in, and a business owner who uses the agent during the pilot.
Where is our data hosted and which models do you use (GDPR, sovereign AI)?
The model is chosen case by case: Claude or GPT for reasoning and writing, lighter models for high-volume triage, Mistral or an open model when data is sensitive or must stay in Europe. API offerings with no training on your data, hosting in the European Union when required, and personal data masked before it is sent to the model.
Can an SMB work with an AI agency?
Yes, and that's often where the gain is most visible: an SMB rarely has an in-house AI team, and a few repetitive tasks (quotes, support, CRM data entry) weigh heavily on a small number of people. AI Consulting lets you get started with a scoping that your developer implements; AI Full suits SMBs and mid-market companies that delegate all execution.

Got a specific question? We answer it during the free audit.

Wladimir DelcrosBy Wladimir Delcros, Head of Growth · Updated on October 29, 2026
Last step

A free audit,
results in 48h.

Senior leadership, certified media buyers, AI agents in production. No interns on your account: the team you meet is the team that ships.

Lourmarin offsite · September 2025Meet the whole team Apply to uclic
The Uclic team | three rows of smiling colleagues, arms raised, wearing green uclic t-shirts