CONTEXT & INTELLIGENCE
Capabilities
Context & Chronicles
Chronicles is the living model of context: the goals, risks, relationships and conditions behind every data point. It is maintained continuously rather than rebuilt as a static segment.
Orchestration logic reads context, so the quality of the model here sets the ceiling for everything above it. Context combines internal data proprietary to your institution, real-time signals such as location, banking specifics such as balance thresholds, and behaviour observed through analytics.
WHAT IT DOES
Entity & relationship graph
People, accounts, products and merchants resolved into one connected view rather than a flat attribute list.
Goal and risk inference
What the customer is trying to do, and what stands in the way, expressed as scored signals.
Continuous refresh
Context sharpens as new signals arrive instead of going stale the moment it is created.
Lineage & explainability
Every inference traces back to the signals and rules that produced it.
IN DETAIL
—
Tagged data makes attributes discoverable to authors who are building rules without engineering help.
—
Real-time signals and slow-moving attributes sit in the same model, so one rule can span both.
—
Chronicles keep the sequence of what happened, which is what makes an explanation possible after the fact.
—
Behavioural signals from analytics feed back in as context, closing the loop with delivery.
SERVICES & BUILDING BLOCKS
CONTEXT ATTRIBUTES
Typed values describing the customer and their situation, resolved at request time.
RULES
Composable conditions over attributes that define when something applies.
CHRONICLES
Narrative records of what happened, in sequence, readable by people and models alike.
DERIVED SIGNALS
Goals, risks, relationships and life events inferred from underlying data.
HISTORY & TREND
Retained values so recency and change can be evaluated, not just current state.
MODEL-READY OUTPUT
Context shaped so any model can consume it without bespoke feature work.