The Customer Intelligence Graph
The foundational data structure that autonomous AI agents read from to plan, reason, and execute high-stakes B2B operations with enterprise-grade reliability.
Customer teams use FunnelStory to stay ahead of risk and ship intelligence at agentic scale
Deterministic Intelligence Layer
A structured Customer Intelligence Graph designed to power enterprise AI agents with consistent, reliable context.
Unified Source of Truth
Combines structured and unstructured data into normalized entities, creating a single, fully auditable system of record.
Beyond LLMs & Data Warehouses
Eliminates hallucinations and passive reporting by enabling true contextual reasoning across customer data.
Actionable & Traceable Insights
Provides pre-computed signals and automated gap detection, ensuring GTM and Operations AI agents act with enterprise-grade reliability and 100% traceability.
Problem
Why LLMs and Data Warehouses Aren't Enough
Deploying autonomous AI agents to manage revenue-critical relationships requires flawless execution. Current architectures fail to meet this standard.
The LLM Hallucination Risk
Giving a standard LLM direct access to raw enterprise data is fundamentally flawed. LLMs are probabilistic text generators. Asking an LLM to calculate renewal risks from raw CRM logs often yields inconsistent answers and un-auditable logic.
The Data Warehouse Limits
Traditional data warehouses provide a perfect record of state, but lack agency, semantic reasoning, and automated gap detection. Raw data alone does not provide the "information fusion" required for an AI agent to take strategic action.
Solution
Customer SuperIntelligence, built on a context graph
FunnelStory turns scattered customer signals into a Customer Intelligence Graph — then makes that intelligence usable through insights, workflows, and AI agents.
Customer Intelligence Graph
FunnelStory's core: a graph that connects accounts, contacts, interactions, product usage, outcomes, and signals across tools.
Context Graph for Agentic AI
A context graph makes agents reliable: it grounds reasoning in shared, inspectable customer context.
Intelligence Fabric
One shared intelligence layer for frontline, ops, and leadership — delivered in the right place and format.
Core Capabilities & Business Benefits
Shifting the cognitive load from the LLM to the Context Graph delivers unparalleled reliability for GTM teams.
Deterministic State
Every action is grounded in validated data: Product Usage, CRM, Conversational Intelligence, & BI.
Benefit: Every action is grounded in validated data: Product Usage, CRM, Conversational Intelligence, & BI.
Proactive Gap Detection
RBAC-aware access ensures agents only see and do what their specific human role allows.
Benefit: Every action is grounded in validated data: Product Usage, CRM, Conversational Intelligence, & BI.
Complete Traceability
Governance logs provide a clear audit trail for every agent action and decision.
Benefit: Every action is grounded in validated data: Product Usage, CRM, Conversational Intelligence, & BI.
Frequently Asked Questions
Why is a context graph better than just giving an AI agent access to my CRM?
CRMs contain raw, unstructured logs and lack semantic context. Giving an AI raw CRM access leads to hallucinations and inconsistent answers. The FunnelStory Context Graph fuses CRM data with product and billing data, pre-computes the intelligence, and structures it so the AI reads verified facts, not raw text.
CRMs contain raw, unstructured logs and lack semantic context. Giving an AI raw CRM access leads to hallucinations and inconsistent answers. The FunnelStory Context Graph fuses CRM data with product and billing data, pre-computes the intelligence, and structures it so the AI reads verified facts, not raw text.
Does the Customer Intelligence Graph predict the future?
No. The Customer Intelligence Graph is a snapshot of current and historical reality. It is a deterministic record of what is, ensuring agents act on absolute truth. (Simulating future outcomes is handled by our separate evaluation models).
No. The Customer Intelligence Graph is a snapshot of current and historical reality. It is a deterministic record of what is, ensuring agents act on absolute truth. (Simulating future outcomes is handled by our separate evaluation models).
How does automated gap detection work?
Because the graph knows the "physics" of B2B relationships (e.g., knowing a $100k account needs an executive sponsor), it automatically flags when those required elements are missing. These "gaps" are fed directly to the AI agent as tasks to solve.
Because the graph knows the "physics" of B2B relationships (e.g., knowing a $100k account needs an executive sponsor), it automatically flags when those required elements are missing. These "gaps" are fed directly to the AI agent as tasks to solve.
What entity types does the FunnelStory Graph support?
The graph currently supports 18 normalized entity types essential for B2B operations, including Accounts, Users, Contracts, Tickets, Meetings, and Activities, along with their complex semantic relationships.
The graph currently supports 18 normalized entity types essential for B2B operations, including Accounts, Users, Contracts, Tickets, Meetings, and Activities, along with their complex semantic relationships.
Ensured Data Security
Security built for the Enterprise
We've taken the extra steps to ensure your data is safe. Our platform offers Role-Based Access Control and detailed Audit Logging, ensuring your data is protected and monitored at all times
