Teamstarter AI — Deploy AI where it actually has impact

Deploy AI where it actually has impact

Everyone talks about AI, no one really uses it. Teamstarter starts on the ground: your teams pinpoint the time-consuming tasks, and we turn them into operational business AI solutions.

AI solutions deployed
Tender response
80% of the specification generated automatically
8h saved / case
Automated employee onboarding
Generates a personalized onboarding path (access, training, key contacts)
2-6h saved / hire
Supplier contract analysis
Flags sensitive clauses, compares against standard templates, and generates a risk summary
3-5h saved / contract
Automated customer support
Personalized responses based on your knowledge base
4-6h saved / day

The AI paradox in the workplace

Despite the investment in AI licenses (Copilot, Gemini, ChatGPT), usage stalls. The real potential is on the ground.

Underused licenses

You pay for Copilot or Gemini across the whole company, but real usage stays concentrated among a few early adopters. ROI is almost nonexistent.

Unmanaged Shadow AI

Your employees already use AI informally. Without a framework, that's a security risk and a missed chance to capture best practices.

No concrete use cases

AI stays abstract for most teams. They don't know how to translate their expertise into instructions an AI can actually use.

From the ground to production

The Teamstarter method in 4 steps to deploy AI with real impact.

Detect

On-site workshops to collect day-to-day pain points and time-consuming tasks.

Build

Concrete use cases formalized and tailored to your processes and data.

Deploy

Put into production and adopted by the rest of the team.

Measure

Monitor the actual time saved and refine the automations.

The results speak for themselves

4 weeks
To the first cases
in production
80%
Of repetitive tasks
automated
100%
ROI measured and
documented

They deploy AI with Teamstarter

“We used to spend 2 days per tender. With the Teamstarter skill, 80% of the specification is pre-filled. We save 8 hours per case and respond to more opportunities.”

M
Marc L.
Operations Director — Mid-size construction company, 450 employees

“Our field teams were already using AI any which way. Teamstarter structured all of it into documented, shared skills. Now every department has its own assistants.”

P
Philippe R.
COO — Logistics group, 1,800 employees

Concrete cases for every team

A few examples of use cases deployed at our clients.

Tender response

Automatically generates 80% of the specification and reuses your standard responses.

8h saved / case

Legal contract analysis

Flags sensitive clauses, compares against standard templates, and summarizes risks and negotiation points.

3-5h saved / day

Customer support & technical replies

Analyzes requests, pinpoints the technical issue, and generates personalized responses.

4-6h saved / day

Predictive & field maintenance

Instant diagnosis from a photo of the installation, with generated safety protocol and repair procedure.

2-6h saved / day

Operational process optimization

Analyzes internal procedures and document flows to spot duplicates and automatable tasks.

3-5h saved / day

Automated onboarding

Creates personalized onboarding paths and generates welcome documentation for new hires.

3-4h saved / hire

Discover our Cohesion offering too

Same bottom-up approach, different lever: your employees propose projects, the group votes, and the ideas come to life. Authentic moments of cohesion that strengthen your culture.

Explore Cohesion →

Ready to deploy AI with real impact?

In 30 minutes, we'll show you how Teamstarter turns time-consuming tasks into concrete time savings for your teams.

Book a demo →
Notre raison d’être

L’IA se met en place par l’action.

Chez Teamstarter, nous faisons adopter l’IA en partant du terrain. Notre métier : accompagner vos équipes pour qu’elles construisent elles-mêmes les agents qui allègent leur quotidien. Elles connaissent leurs tâches mieux que quiconque, et un agent qu’on a écrit soi-même, on s’en sert.

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micPodcast · AI Experience
Les oubliés de l’IA se cachent dans les PME
Quentin Guilluy, invité de l’émission
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Quentin Guilluy, CEO de Teamstarter
Quentin Guilluy
CEO, Teamstarter

Une équipe dédiée à l’adoption de l’IA

Collaborateurs Teamstarter en atelier
Collaborateur Teamstarter au travail
Équipe Teamstarter en réunion

Nos convictions

01
Tout se joue sur l’adoption

Les outils d’IA sont déjà là. Ce qui manque, ce n’est pas une licence de plus : c’est le passage du travail réel à l’automatisation. C’est là que nous intervenons.

02
Un agent créé par son utilisateur, c’est un agent qui dure

Chacun crée ses propres agents, sur ses propres tâches. Celui qu’un collaborateur a écrit lui-même, il le corrige, l’améliore et le transmet à ses collègues. Le mouvement vient des équipes, et c’est ce qui rend l’adoption naturelle.

03
Une étape à la fois, selon votre stade

Personne n’a besoin d’un plan de transformation à trois ans. Nous partons de là où vous en êtes et faisons franchir un cran à vos équipes. Vous décidez ensuite de la suite, avec des indicateurs concrets à l’appui.

04
Notre réussite se mesure à votre autonomie

Nous ne créons pas les agents à votre place : vos collaborateurs maîtrisent la méthode de construction, de la tâche repérée à l’agent fiabilisé. À terme, ils créent leurs nouveaux agents sans nous.

Envie de passer à l’action ?

En 30 minutes, nous vous proposons un plan d’accompagnement adapté à vos tâches, vos outils et votre environnement.

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