AI Agents & Automations
AI agents that run your operations, not just your demos
At a glance: we design, build and operate custom AI agent teams that take over repetitive, rule-heavy workflows end to end — with human validation where it matters. Our flagship client Créabim, a French architecture firm, runs a production team of autonomous agents that produces regulatory urban-planning studies roughly 10× faster than the manual process, saving about one full-time equivalent per year.
What we deliver
- Autonomous agent teams — hierarchical systems where a coordinator agent orchestrates domain-expert sub-agents (analyst, writer, reviewer, document manager) around your real workflow.
- Workflow automation — the glue between your tools (CRM, ERP, email, document stores) orchestrated through n8n or Make, with retries, monitoring and alerting.
- Human-in-the-loop controls — validation gates, approval queues and audit trails so agents earn autonomy progressively.
- Production operations — dashboards, quality checks and iteration loops so the system keeps performing after launch.
Why companies choose agents over scripts
Proven in production
Créabim's agent team delivers regulatory studies 10× faster and saves 12–20 hours of expert work per study — the results of an agent system running live, not a prototype.
Your tools stay
Agents work on top of your existing stack — Revit, ERP, CRM, email — orchestrated through Make or n8n. The goal is to speed up the work around your tools, not to force you to switch them.
Controlled autonomy
Human-in-the-loop validation from day one: agents draft, your experts approve, and autonomy expands as trust is measured.
Measurable ROI
Every deployment is scoped around hours saved and cost per workflow — projects typically run €1,500–€10,000 and custom agent teams €10,000–€30,000, confirmed by a scoped quote.
How we work
Discover
A call to understand your processes, pains and goals. We identify the highest-volume, most repetitive workflows worth automating first.
Design
We map the workflow end to end and design the agent system: roles, tools, data sources, validation gates.
Deploy
We build, integrate and ship the agents to production — monitored, logged, with human validation where you need it.
Enable
We train your team so they run and evolve the agent system themselves, with us as backup.
Common use cases
Regulatory & compliance studies
Multi-step research, data pulls and report generation — the exact pattern of our Créabim deployment.
Lead qualification & follow-up
Agents that enrich, score and nurture inbound leads inside your CRM, with humans closing.
Document-heavy operations
Invoice, contract and report workflows that combine extraction, review and downstream actions.
Customer support triage
Agents that classify, draft and resolve — escalating to your team only when judgment is needed.
Pricing
Workflow automation projects typically run €1,500–€10,000, and a custom autonomous agent — or a team of agents — usually falls between €10,000 and €30,000, always confirmed by a scoped quote before we start.
If you want a reference point, our article on how much AI automation costs breaks down the three pricing models and the hidden costs buyers forget.
Frequently Asked Questions
What is an AI agent, in concrete terms?
An AI agent is software that perceives a task, plans the steps, uses tools (search, your databases, your business apps) and produces the deliverable — with guardrails you define. In practice for our clients: a system that reads incoming requests, pulls the right data, drafts the output and routes it for validation, without anyone babysitting each step.
How fast can we get a first agent in production?
A first scoped workflow typically ships in a few weeks. We prioritize the riskiest, highest-volume part of the process first, prove it on your real work, then expand to adjacent tasks. That is exactly the path that took Créabim from a painful manual process to a production agent team.
What happens when the agent is wrong?
Agents are deployed with validation gates calibrated to the stakes: low-risk actions run autonomously, high-stakes outputs route to a human approval queue. Every action is logged, so you can audit what the system did and why — and tighten the guardrails as trust grows.
Do we need to change our tools?
No. Agents work on top of your existing environment — your CRM, ERP, document store and email — orchestrated through tools such as Make or n8n. The goal is to speed up the work around your tools, not to force you to switch them.
Can agents use open-source models on our own servers?
Yes — that is our specialty. Sensitive, high-volume workloads can run on open-weight models like Kimi K3 deployed on your own infrastructure. See our open-source AI deployment service.