Context Graph
Represent customers, products, offers, events and policies as connected entities — preserving relationships that flat profiles lose.
Pre-launch · Prototype
Connected context.
Better decisions.
DecisionNerve is a graph-native AI decisioning layer for customer experiences. It connects signals, products, offers and business rules into a living context graph — then reasons over that context to determine the next best action.
Graph-nativeConnected customer context
AI-reasonedContext-aware decisions
ExplainableWhy this action, now
Recommended actionRetention offer B
High intent · Eligible · Mobile preferred
Reasoning confidence 88%
Why DecisionNerve
Customer context is fragmented.
Decisions shouldn't be.
Traditional decision engines evaluate isolated rules. DecisionNerve is designed to reason across connected context: who the customer is, what they did, what they own, what they qualify for, and what should happen next.
AI Decision Reasoning
Use AI reasoning over the resolved context to rank candidate actions and explain why a decision fits this customer, right now.
Guardrails by Design
Keep eligibility, suppression and policy constraints deterministic while allowing AI to reason inside clearly defined boundaries.
Real-time Activation
Return a decision through an API so the next action can be activated across web, mobile, CRM or campaign channels.
Prototype architecture
Signals in. Context connected.
One decision out.
01Signals
Events, profile, transactions, product usage.
→
02Graph
Resolve entities, relationships and current context.
→
03Reason
Evaluate intent, candidate actions and constraints.
→
04Decide
Return the next best action with an explanation.
CONTEXT SNAPSHOT
{
"customer": "C-1042",
"signals": ["viewed_upgrade", "support_contact"],
"owns": ["Core Plan"],
"eligible_for": ["Plus", "Retention B"],
"preferred_channel": "mobile"
}DECISION
Retention B
Why: upgrade intent is high, recent support friction increases churn risk, and the customer is eligible for a mobile-first retention offer.
What we're building
A decisioning layer that understands relationships, not just rows.
DecisionNerve is an early-stage product concept currently in prototype. The goal is to combine graph-based context with AI reasoning so teams can build customer decisions that are more contextual, explainable and adaptable.
The first prototype focuses on next-best-action and next-best-experience use cases for customer engagement.
Early access