An audit of your AI agents, fixes included.
Your agents run in production, but they cost more than expected or break without warning. We examine costs, memory, crons, MCP servers and model routing, then deliver a quantified report and the fixes.
- One week
- of audit
- Quantified report
- costs and risks
- Fixes
- ready to apply
Your agents work, until the day they break.
Three things we hear from teams with agents in production.
« Our token bill doubled in a month, and we don't know which agent is responsible. »
« A scheduled task stopped a week ago. Nobody noticed. »
« We plugged in MCP servers we found online, without really knowing what they can do. »
The result: agents nobody dares to change any more, and eroding trust. An audit puts everything on the table, with figures to back it up.
What we deliver.
A complete diagnosis of your set-up, and the fixes to act on straight away.
Token costs
Consumption per agent and per task, overly long prompts, unnecessary calls, caching opportunities. With the savings quantified.
Reliability
Crons, error recovery, failing tool calls: what breaks, why, and how to make it robust.
Memory and context
Persistent memory, context, duplicated prompts: what your agents actually remember, and what they forget.
MCP server security
Granted permissions, exposed secrets, overly permissive tools. Every MCP server is checked and hardened.
Model routing
The right model for each task: simple tasks to lightweight models, critical tasks to the most reliable ones.
Report and fixes
A quantified, prioritised report, with fixes ready to apply, or applied by us if you prefer.
- Claude Code
- Claude Agent SDK
- n8n
- Open source agents
- MCP servers
- LLM gateways
- Tracing and observability
Four steps, at your pace.
Our guiding thread: the ICPC method. You stay in control at every step, and you can stop whenever you want.
- Identify
Inventory and measurement
Review of configuration and traces: agents, skills, crons, memory, MCP servers and actual consumption.
- Frame
Prioritised diagnosis
Each issue is quantified in cost and risk, then ranked by impact.
- Produce
Fixes
Priority fixes applied with your team, then the effect on costs and reliability is measured.
- Capitalise
Monitoring
Optional monthly follow-up: costs, regressions, new agents and ongoing fixes.
Teams already running agents in production.
- Start-ups and SMEs running Claude Code, n8n or open source agents day to day.
- Automation agencies that want to make the set-ups delivered to their clients more reliable.
- Teams whose AI bill is growing faster than the value it produces.
Little to prepare to get started.
- Read access to your agents' configuration and traces.
- Usage statements from your model providers for the last few months.
- A technical contact available for two check-ins during the audit.
Your data stays yours, right from the start.
Sovereignty
Hosted in Europe, within your perimeter.
Confidentiality
No third-party training on your data, ever.
Freedom
Choice of models, no vendor lock-in.
Compliance
GDPR & AI Act by design.
Ownership
The code and configurations belong to you.
Frequently asked questions
The other Studio offers.
Claude workflows for your business
Skills and MCP connectors that automate your business in Claude, installed and then maintained over time.
Enterprise AI platform
One place to host your models, agents and AI tools, with access rights, logging and costs under control.
AI copilot for software vendors
A copilot that answers and acts in your software, delivered with its MCP server and reliability tests.
Let's start with a conversation.
A first conversation to check that this offer fits your need. We'll tell you honestly what is useful, and what can wait.