You want to bring AI into your business but you don't know where to start? ZeroCorvee guides you from the inventory of your busywork all the way to deploying your first automations. Concrete results in weeks, not months.
Adopt AI for real: end-to-end support, no jargon.
No PowerPoint. No 80-page report. We identify your most expensive busywork, we deploy, we train your teams. And you walk away self-sufficient.
Who is this support for?
This support is built for leaders and teams who want to take action — not for those who just want to "explore the topic".
You want to automate but don't know where to start
You sense that AI could save you time on repetitive tasks: quotes, follow-ups, reporting, email handling — but you don't know which tools to choose or how to connect them to your organisation.
This is exactly the starting point of most engagements.
You've tried SaaS tools but nothing really fits
ChatGPT, Zapier, Make, Notion AI… you've tried them. They half work, they take time to configure, and your teams don't adopt them.
The problem isn't the tool. It's that no generic tool knows your business processes.
You want quick results, not an 18-month project
You have neither the time nor the budget for a large transformation project.
You want measurable gains in 3 to 6 weeks: an automation that runs, and a team that knows how to use it.
How does the support work?
A 4-step process, designed for organisations with no IT department or dedicated tech team.
Step 1
Inventory of your busywork (identify the quick wins)
We start by mapping your processes: where does your teams' time go? Which tasks are repetitive? Which bottlenecks slow down your business? In 1 to 2 sessions, we identify the 3 to 5 priority use cases: the ones with the best effort/gain ratio.
Step 2
Selecting and testing the right AI solutions
We don't sell tools. Together we choose the solutions best suited to your context: team size, budget, existing stack, technical maturity level. We test them in real conditions before deploying. No surprises.
Step 3
Deployment and hands-on adoption by your teams
Deployment happens with your teams, not instead of them. The goal: that they understand what they use and why. Training included. Documentation provided. Your staff walk away self-sufficient.
Step 4
Follow-up and optimisation
In the weeks following deployment, we check that the automations hold up under real load, we fix what needs fixing, and we identify the next projects if you want to go further.
What you get in the end
- ✓One or more automated processes that run without manual intervention
- ✓Teams trained and comfortable with the deployed tools
- ✓Clear documentation to maintain and evolve the solutions
- ✓An AI roadmap for the next 6 to 12 months
- ✓Hours saved per week per employee, measured chore by chore
The busywork disappears, it doesn't move somewhere else
Automating badly means turning one chore into another: one more tool to watch. We measure the time actually recovered after deployment, not the number of automations delivered.
Your teams know how to use it
An automation nobody uses is worth nothing. Training and documentation are part of the engagement, not an option.
A solution tailored to your business, not a generic tool
A generic SaaS tool is designed to please 10,000 different customers. Your automation is designed for you: your data, your workflows, your business constraints.
Examples of completed engagements
Building an AI assistant in the field of industrial maintenance to help technicians across the various machine models they work on.
Automating the integration of leads into the CRM of a luxury beauty institute, following its advertising campaigns or contacts from its website.
Automating messaging and cold-email prospecting for a consultancy firm.
What we see in the field
Question
What is the most common AI use case in organizations?
The need to lighten the load of managing digital documents, and the inbox that mixes client requests, prospects and day-to-day management. For many business owners, it's a heavy mental burden, for them and their teams.
Question
What is the biggest mistake when deploying AI on your own?
Forgetting that AI has a cost, and that it isn't the right answer to every need. It's our role to tell you when it isn't suited to yours.
Question
How long does it take for an automation to change a team's daily routine?
Sometimes from the very first day of delivery: some automations immediately show their value and return on investment.
FAQ: AI consulting
Between 3 and 6 weeks for a first targeted scope. The inventory takes 1 week, deployment 2 to 3 weeks depending on complexity.
Engagements start from €2,500 for a targeted scope (one chore removed + training). Full support covering 2 to 3 chores generally ranges from €5,000 to €12,000.
Depending on your size and project, public schemes may fund part of your AI initiative — Bpifrance's Diag Data IA for diagnosis, FNE-Formation and your OPCO for building your teams' skills. We tell you which ones apply to you during the first conversation: they are independent of our quote.
No. The support is designed for teams without a technical profile. You need an available internal point of contact (office manager, operations lead, business owner) — not a developer.
An integrator deploys a tool and leaves. Here, you work directly with the team that runs the diagnosis, chooses the solutions and trains your teams — with no sales intermediary.
Start your AI support journey
Let's take 30 minutes to see whether support makes sense for you. No pitch, no instant quote: just a concrete conversation about your situation.