Continuous opportunity analysis
Detect, qualify and prioritize business signals before they get lost across tools or internal exchanges.
Apleona × Prem'IA
Version FR Details · micro examples
What this can become concretely.
Once the vision is clear, the work is to select the right business cases: specific to the company, measurable, and defensible by ROI.
Readable architecture
A simple loop: signals, agents, decisions, learning.
The system starts small. It captures one flow, analyzes it, suggests an action, then learns from human validation.
Business signals
Clients, market, inbound requests, commercial data, watch.
Operating signals
Field data, incidents, quality, performance, recurring friction.
Internal material
Contracts, history, documents, rules, business know-how.
Client signal · potential detected · relevant team alerted
Internal document · sensitive point summarized · validation requested
Market trend · opportunity qualified · action proposed
Analysis agent
Summarizes, extracts, compares and makes the signal readable.
Qualification agent
Applies business, risk, priority and impact criteria.
Action agent
Prepares the decision, message, summary or next move.
The same structure can then change métier: sales, operations, legal, finance, client relationship or field support.
Micro examples
Possible forms, not imposed assumptions.
These examples show what the method can become once the right flow is selected with the teams.
Decision preparation
Assemble key elements, summarize risks, propose next actions and accelerate arbitration.
Business knowledge capitalisation
Turn documents, history and past answers into active memory for teams.
Friction radar
Detect recurring irritants, time-loss zones and weak signals to handle earlier.
Trajectory
Start small. Prove fast. Extend cleanly.
The first deliverable must be understandable internally, visible to teams and limited enough to learn quickly.
01
Choose one flow
Identify an opportunity or decision flow that deserves better analysis.
02
Create the pilot
Connect available data, define criteria and build a first useful interface.
03
Support usage
Test, adjust, measure, document, then decide whether the case deserves expansion.
What we do not do
Maturity starts with limits.
For a large organization, trust comes as much from what a partner refuses as from what it promises. The pilot must stay clear, measured and governable.
We do not replace internal teams.
We do not bypass IT.
We do not connect AI to sensitive data without a clear frame.
We do not force a predefined use case.