Composite AI
Analysis cross-referencing several AI techniques on each account.
Definition
Composite AI refers to an approach that combines several analysis techniques on a single account rather than a single-variable score. By cross-referencing angles, it reduces false positives and makes the signals converge towards a more reliable diagnosis.
Why it matters
An isolated signal is often wrong; it is the convergence of several angles that surfaces real risks and real opportunities, for the Customer Success Manager as well as the Account Manager.
How Phano helps you
Phano's composite AI cross-references six techniques per account and feeds four specialised agents: Defense, Expansion, Field and Strategy.
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Security, isolation and compliance by default. Not an add-on.
Per-organization isolation
Every organization is partitioned by Row Level Security at the database level, with a double membership check server-side.
AES-256 encryption
All data is encrypted at rest across the entire database, and in transit.
Anonymization before AI
Emails and phone numbers are masked before any model call. The original data never leaves our European servers.
GDPR compliance
Export and deletion of your data on demand. Transfers outside the EU governed by Standard Contractual Clauses.
Frequently asked questions
What is Composite AI?
Composite AI refers to an approach that combines several analysis techniques on a single account rather than a single-variable score. By cross-referencing angles, it reduces false positives and makes the signals converge towards a more reliable diagnosis.
Why does Composite AI matter?
An isolated signal is often wrong; it is the convergence of several angles that surfaces real risks and real opportunities, for the Customer Success Manager as well as the Account Manager.
From definition to action, on your accounts.
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