Audit €1,500 excl. VAT · Sprint €4,500 excl. VAT
Audits from €1,500 excl. VAT, AI Sprints from €4,500 excl. VAT. One workflow wired into your tools, with the code in your repo and a log of every action the agent takes.
Illustration · sample run
Reply sent · 4 min
Sample agent we build: the AI drafts the reply from your help base, and a person reviews it before it goes out. Names and values are fictional.
01The problem
Your team already uses ChatGPT, but nothing is connected to your tools. The prototype worked in the meeting, then nobody had time to make it reliable. That's the part we take on: we pick one process worth automating, connect it to your real data, and it runs under monitoring.
02Packages
You can stop after any step.
01 / 1 to 2 weeks
Your processes reviewed, automations ranked, a 90-day roadmap.
From €1,500 excl. VAT
02 / 2 weeks
One workflow in production, with the scope fixed before work starts.
From €4,500 excl. VAT
03 / Monthly
The workflow monitored and improved every month.
On quote
All prices exclude VAT.
See all pricesBy sectorReal estateWeb agencies
03Log
The view you get with the Sprint: every step, its duration, and the errors it recovered from. Shown here on a fictional example.
If you go on to an AI Sprint, the quote takes the audit you already paid into account, and the terms are written down before you sign.
9 stepstotal 1.80 s
Illustration · sample run
04Stack
The building blocks we put together for your agents and automations. We pick the model for the task, the cost and where your data has to stay.
Brands mentioned belong to their respective owners. Klyx is neither affiliated with nor a partner of these vendors.
05Work
Hoppy, the AI assistant for Hop Hop Immo, and CiteMe, co-founded by Maxime, our lead engineer.
See the work
Hop Hop Immo · 2026 · Next.js · ElevenLabs
An AI assistant that helps buyers find their way through new-build housing in south-west France.
Read the case study
CiteMe (co-founded) · 2026 · Next.js
A GEO tool that tracks a brand's citations across ChatGPT, Gemini, Perplexity and other AI engines.
Read the case study06Questions
An automation follows fixed rules: when an email arrives, it adds a row to the CRM. An AI agent reads, decides and acts within limits you set, for example sorting a customer request and drafting a reply. Many projects use both.
It depends on the process and on who will maintain it. n8n or Make work well when your team wants to change the steps itself. Custom code makes sense when you need fine-grained control, tests or high volume.
You keep the process map and the roadmap, even if you go no further.
No. The Diag Data IA is delivered by experts accredited by Bpifrance, and Klyx isn't one of them. Our audit is a private audit at a fixed, published price.
Your accounts and tools stay in your name, and we map the data before writing any code. Data the agent handles goes through the model provider's API, which by default doesn't use it to train its models. If you need EU hosting or a local model, we plan for it in the quote.
Your team, using the runbook and onboarding included in the sprint, or us through the monthly run.
