— and when it breaks
A fiine agent processes fifty files. On the thirty-second, a field is missing. It stops, asks you for it, and resumes at the thirty-second. Not at the first.
— the ROI of each agent
We map out the ROI of every possible agent. You decide which ones we build, and in what order.
— what you see
Every action, every decision, every euro. You see what your AI systems do, in plain language, in real time. And you stay in control.
— Our angle
An AI deployment workshop for B2B SMBs, run by the founders. The three-calm method (scoping, oversight, recovery) makes your agents hold, and keeps you in control when they fail.
— Product · The fiine Salon
See what your AI is doing, clearly. By the minute.
You see what your agents are doing, what it costs, where it works, where it fails. One screen, calm, in plain language.
The sheet builds itself live · each step with its time and AI cost · anonymized example
Animation · onboarding agent paused on a missing field · notified, completed, resumed at the exact point
— Recovery · stop · wait · resume
When the agent fails, you take back control.
Empty field, invalid email, API timeout. The agent stops at the exact point, asks you, and picks up from there. Not from the beginning.
- 01.
The agent detects the error and pauses at the exact point.
- 02.
You get notified with the full context: step, file, field.
- 03.
You fix or decide. The agent resumes from where it stopped.
— Client cases
A few client cases, as examples.
A sample of AI deployments run in real conditions, across varied B2B sectors.
01
B2B communications
Communications agency
5 people
Before, website copy went to a subcontractor and every client meeting ended with an evening spent writing the proposal. We built three agents on their process: the first writes web content in the agency's tone, the second turns the meeting recording into a sales proposal, the third prepares personalized prospecting letters. The proposal is ready by the end of the meeting, and the team reviews instead of writing.
02
Plumbing & heating
Clearance e-commerce
10 people
Every product sheet was created by hand in PrestaShop: researching specs, writing, ticking dozens of attributes. About 40 minutes per product, around a hundred products a week. We scoped that process, then built an agent that gathers the data, writes the sheet and pushes it as a draft; the team now only reviews before publishing. Measured result: 66 hours a week freed up, with no extra hiring.
03
Multi-brand marketing
Digital marketing group
15 people
The group published two or three articles a month, written by hand, with a different tone from one brand to the next. We built their white-label production platform: source monitoring, SEO articles written in several languages in each brand's tone, optimization, scheduled publishing. Their teams now review a continuous output instead of writing it, with no extra writers.
— What we observe
The AI market, in numbers.
of custom enterprise AI projects never reach a measurable return on investment.
MIT NANDA, 2025of AI pilots never reach production.
IDC, 2025of companies abandoned AI initiatives in 2025, up from 17% the year before.
S&P Globalof people surveyed don't fully trust AI systems.
KPMG, 2025Our method starts from these facts.
