The AI Sisters Lab designed, built and runs a platform that scores every prospect and tells sales reps who to call first


We did not expect to go this far.
Sahil Aouni, Legal Director, Energies France
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.
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.
There was not enough information to judge a prospect before calling.
No standard tool could have applied Energies France’s own sales rules.
An off-the-shelf tool meant a recurring licence, months of setup and features never used.
The existing system had to remain the reference, with no changes at all.
An off-the-shelf tool does not fit your rules?
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A platform designed, built and run by AI Sisters. Delivered in increments: the client approves each building block before committing to the next.
Analysis of the sales rules, the available data and the source system.
The platform reads data from the existing system, which remains the reference and is never modified.
Each prospect gets a score out of 100, a plain-language explanation and a recommended action. Call batches are generated twice a day.
The model is compared with the sales reps’ own assessment, then adjusted. AI Sisters hosts and maintains the platform.

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

→ 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
→ The company’s sales rules built into the model
→ A model calibrated on the sales reps’ assessment
→ Read-only synchronisation with the source system
→ Hosting and maintenance by AI Sisters
→ Code owned by the client
The platform is in production. The client approved each increment before committing to the next.
sales reps using the platform
from assessment to go-live
call batches generated every day
a score per prospect, with its explanation
A sales team calling blind?
Let’s talk about what custom scoring could change for them.
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A programme built around your roles and your tools, pre-audit included.
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