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Case studies

Sales prioritisation: Energies France equips its 30 sales reps with a custom AI platform

Energies France’s 30 sales reps spent 80% of their time looking for leads and 20% calling. With the AI Sisters Lab’s AI platform, it is the other way round.

Custom development · 4 months from assessment to production
Maquette mobile de la plateforme de priorisation d’Energies France : prospects notés sur 100 et lots d’appels du jourRetour du directeur juridique d’Energies France, avec 30 commerciaux équipés et 4 mois de l’évaluation à la production
80%

of sales reps’ time now spent on calls, compared with 20% before

30

sales reps using the platform

4 months

from assessment to go-live

2

call batches generated every day

“

We did not expect to go this far.

Sahil Aouni, Directeur Juridique, Energies France

Sahil Aouni, Legal Director, Energies France

Sales reps’ time has flipped, before and after

Before

Avant : 80 % du temps passé à chercher des leads

80% of the time spent looking for leads

Only 20% of the time was left for calling and prospecting.

With the AI Sisters Lab

Avec le AI Sisters Lab : 80 % du temps passé à appeler

80% of the time spent calling

The platform prepares the calls: research now takes only 20% of the time.

Before

Avant : Des fiches incomplètes, des opportunités perdues

Incomplete records, lost opportunities

Sales reps called through a file without knowing which prospects deserved their time.

With the AI Sisters Lab

Avec le AI Sisters Lab : Chaque prospect noté sur 100, avec sa justification

Every prospect scored out of 100, with an explanation

Two call batches ready every day, with a recommended action for every record.

Energies France asked the AI Sisters Lab to design a sales prioritisation platform for its 30 sales reps.

Four months passed between assessment and go-live. The code belongs to the client.

The goal: every call goes to the prospect who deserves it.

Knowing who to call in a prospect file

Thirty sales reps were calling through a prospect file without knowing which ones deserved their time. Records were incomplete and the best opportunities got lost in the crowd.

The challenge for AI Sisters: build a tool that applies the company’s sales rules, without touching the existing system.

Incomplete records

There was not enough information to judge a prospect before calling.

House rules

No standard tool could have applied Energies France’s own sales rules.

No wasted licence

An off-the-shelf tool meant a recurring licence, months of setup and features never used.

An untouched source system

The existing system had to remain the reference, with no changes at all.

What if it were you?

An off-the-shelf tool does not fit your rules?

We design and build with you the AI tool that applies them.

Discuss my project

Our custom AI development for Energies France

A platform designed, built and run by AI Sisters. Delivered in increments: the client approves each building block before committing to the next.

01

Assessment and scoping

Analysis of the sales rules, the available data and the source system.

02

Read-only synchronisation

The platform reads data from the existing system, which remains the reference and is never modified.

03

Scoring and call batches

Each prospect gets a score out of 100, a plain-language explanation and a recommended action. Call batches are generated twice a day.

04

Calibration and operation

The model is compared with the sales reps’ own assessment, then adjusted. AI Sisters hosts and maintains the platform.

Les six étapes de la plateforme Energies France, de l’évaluation des règles commerciales à la production
What if it were you?

An AI use case to put into production?

Discover our support for building AI agents, from audit to adoption.

Build my AI agents

AI use cases for a sales team

The platform supports the sales reps’ daily work, from choosing calls to following up on records.

Bento de la plateforme Energies France : 30 commerciaux, 2 lots d’appels par jour et une livraison par incréments en 4 mois

Prioritise calls

→ A score out of 100 for every prospect

→ A plain-language explanation of the score

→ A recommended action for every record

→ Call batches generated twice a day

Make the scoring reliable

→ The company’s sales rules built into the model

→ A model calibrated on the sales reps’ assessment

→ Read-only synchronisation with the source system

Run the platform

→ Hosting and maintenance by AI Sisters

→ Code owned by the client

Results of the platform at Energies France

The platform is in production. The client approved each increment before committing to the next.

What if it were you?

A sales team calling blind?

Let’s talk about what custom scoring could change for them.

Got it. An AI Sisters expert will email you to plan your AI training.

Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.

An expert will reply to scope your AI training, with no commitment.

Client
Energies France
Sector
Energy
About the client
Energy broker helping businesses reduce the cost of their electricity and gas.
Teams supported
Sales team, 30 people
Format
Custom development delivered in increments, then hosting and maintenance
Period
4 months from assessment to production
Tools
Custom web platform, code owned by the client

Data security and privacy

Every Lab project takes your security constraints into account from the scoping stage. Tools are built in your environment or on services covered by a data processing agreement (DPA): your data is not used to train models. Processing complies with GDPR and the EU AI Act.

Train your teams in AI

A programme built around your roles and your tools, pre-audit included.

Got it. An AI Sisters expert will email you to plan your AI training.

Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.

An expert will reply to scope your AI training, with no commitment.

They moved to AI with AI Sisters

“We did not expect to go this far.”

Sahil Aouni

Legal Director, Energies France

“Great training and a very practical audit: we are already seeing tangible gains.”

Élodie Bassinet
Director of Strategic Marketing and Development, TV5MONDE
Read the case study →

“AI Sisters supported 150 Webedia employees with truly exceptional shows and workshops. Extremely hands-on, and the productivity gains are already very measurable.”

Michèle Benzeno
CEO, Webedia
Read the case study →

“Two brilliant training sessions with AI Sisters. Titouan was excellent: highly personalised, relaxed and accessible. The team demystified a subject that seemed so complex. Thank you!”

Pascale Luca
Deputy Managing Director, Les Échos Le Parisien Médias
Read the case study →

“It was really great: AI Sisters supported the entire IT department with immediate impact. I recommend them 100%.”

Eric Hahn
Head of Skills, JCDecaux
Read the case study →

“An unforgettable experience: dynamic, practical and directly useful day to day. The teams are still talking about it!”

Céline Trancart
Sales Director, Webedia
Read the case study →

“A very dynamic, practical day, perfectly suited to our challenges. The teams came away with tools and ideas to put into practice the very next day.”

CSR & Internal Communications Manager
Prisma Media Digital
Read the case study →
They got their teams to adopt AI: Accor, La Poste, Samsung, JCDecaux, Vinci, Engie, Ipsen, Havas, BPCE, CMA CGM, TV5Monde, Webedia, Google 4.9/5
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