Intent AI helps organisations understand not just what a customer did, but what they are trying to do.
It reads intent across three layers at once: immediate intent in the moment, mid-term motivation across patterns of behaviour, and long-term drivers that shape a person’s relationship with a brand. The result is a richer understanding than conventional analytics or demographic modelling can provide.
This is possible because Intent AI works on top of Deep Signal Intelligence: a governed pipeline that unifies network data, payments, clickstream, CRM, and on-device signals into a coherent behavioural feature set. Instead of relying on what customers say they want, the system reads what their behaviour reveals.
The outcome is a structured understanding of why behaviour is happening, not just the fact that it happened. Micro-intentions capture immediate decisions forming now. Macro-intentions reveal stable motivations. Long-term intentions surface the deeper forces shaping loyalty, value, and risk over time.
At the core is the Customer DNA vector: a continuously refreshed behavioural embedding that captures affinities, interests, and intent at individual resolution. It powers similarity search, model reasoning, and real-time decisioning, with explainability, versioning, and governance built in.