01Scoping
Scoping the first workflow
We find where the time really goes, with a simple grid: volume × repetitiveness × risk. We pick one workflow, not ten.
Which processes to automate firstAI agents at work: we take them all the way to production
Many AI agents never get past the demo. At The Vibe Company, we wire them into your tools, put the guardrails in place (authority, permissions, a human in the loop) and take them all the way to the daily run — with a clear measure of the time saved.
What we put in place- An audit of your workflows, then skills wired into your tools: CRM, support, docs, APIs.
- Guardrails: least privilege, and a human on everything that goes out (at LocService, the agent writes drafts).
- A before/after measurement, then documentation and handoff — or we keep operating it with you.
- The same YC W24 team that ships AI products to production (LocService, Monka, Coup de Pates…).
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A POC doesn't die for lack of a model — it dies for lack of production
The demo works. Then the real questions arrive: which permissions the agent gets, on which tools (whose APIs change or go down), who owns it when it gets things wrong, and which metric says it is useful. With no answers, nobody dares let it act, and the pilot stays a pilot.
COOs, heads of support and product CTOs are not waiting for one more slide. They want a first agent that is useful in real conditions, wired into their systems, that their teams use every day.
New to the topic? Start with our guide to AI agents for business. This page is about deploying one with you.
What an agent deployment at your company includes
Six building blocks, delivered in your environment and on your tools. Not one more chat silo: an agent that works where your teams already work.
02Skills · Tools
Skills and tools
Versioned skills and connections to the systems you already run: CRM, support tool, knowledge base, internal APIs.
03Authority
Authority and guardrails
What the agent may read, propose and do, written down in black and white. Sensitive actions go through human approval.
Agent authority (in French)04Context
Memory and context
Tickets, documentation, customer history: the agent works from your real context, within the scope agreed together, and no further.
05Observability
Observability
Logs of every action, acceptance rate of its proposals, escalations to a human: you see what the agent does and what it is worth.
06Run
Run and handoff
Runbooks, training for your teams, or joint operation: the agent has an owner the day it goes to production.
Complementary to our AI agents to harden your product and stack (the security of your infrastructure) and to our article on agent authority (in French; what an agent is allowed to do).
From the demo to the daily run
You don't go from POC to production in one leap. We widen the scope as trust builds, with the numbers to back it.
Six steps- 01Call
A 30-minute call
The candidate process, the tools in place, the level of risk. By the end of the call, you know whether a first agent holds up at your company.
- 02Scoping
Fixed-scope framing
A single workflow, and measurable success criteria set before the first line is written.
- 03Pilot
An instrumented pilot
The agent runs in near-real conditions, often as drafts first: it proposes, your team decides.
- 04Scaling
Widen once the numbers hold
We widen the scope only when human acceptance and the metrics hold up. Not before.
- 05Production
Secure production
Permissions reviewed, documentation up to date, and GDPR and HDS requirements met when the context calls for it.
- 06Handoff
Handoff or joint run
Your team takes the agent over with runbooks and training, or we keep operating it alongside you.
A POC gathering dust? We start from what exists and take it all the way to the daily run, with your teams.
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The full checklist before going to productionAgents already running in real conditions
Case studies published on this site, with their numbers. Nothing else.
Rentals · Customer support
87%of support tickets answered with our AI drafts
LocService
An agent drafts the reply to every ticket, connected to internal APIs, on hundreds of tickets a day. A human reviews and decides: the drafts are used on 87% of tickets.
Read the caseCoup de Pates
Quality-control AI skills that check product documents (labels, specifications) and flag every discrepancy, alongside Ensemble, the employee CSR app.
Read the caseTheodo
Technical expert embedded in Theodo's teams: Software Factories for hundreds of developers, with standardized agents and skills.
Read the caseWhat this is not
Not a generic chatbot
A chat with no tools and no context does not change how your teams work. Here, the agent is wired into your systems and has a precise role.
Not “we replace your support team”
The agent takes the repetitive part. Your teams keep the decisions, the customer relationship and the hard cases.
Not our hardening offer
Hardening secrets, IAM or CI with a fleet of agents is a different page.
AI agents to harden your product and stackNot a compliance or zero-error promise
An agent sometimes gets things wrong. We design it so the error shows, reaches a human and gets fixed, and we document what was done.
Frequently asked questions
Which process should we start with?
A high-volume process, with fairly stable rules, where an agent's mistake stays contained. Often the agent starts by writing a draft rather than sending directly.
How long until an agent is useful?
We work in short cycles, and we won't give you a generic timeline before we have seen the process. On our published customer support case, the agent's drafts are used on 87% of tickets, out of several hundred tickets a day.
What if we already have an in-house POC?
We start from what exists: tools, prompts, and the authority debt that has piled up (what the agent can do without anyone having decided it). We industrialize rather than rewrite everything.
What about sensitive data?
We work to GDPR and HDS requirements. When health data is involved, the agent runs inside the client's covered environment. We claim no certification we do not hold.
How is this different from your “AI agents for business” article?
The article explains what an agent is and how to get started. This page is the offer: we deploy the agent with you, all the way to production.
How does this relate to your AI agents for hardening?
Hardening is a fleet of agents that secures your product and your infrastructure. Here, these are business agents in production. The two often go together.
Going further
Read next
Also at The Vibe Company
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