The context layer for customer-facing AI

Automate human interactions humanise digital interactions.

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Retained

Retained

STU-2024-7842

95%

Progression

430

Features

12

Interactions

Seeks to transition into environmental policy. Balancing work commitments with part-time study. Previously completed a Bachelor of Science. Shows interest but repeatedly defers enrolment decisions.

expressing gratitude for enrolment assistance (3)confirming fee help process details (2)information seeking about course details (2)address agreement confirmation (2)career transition motivationprior qualification verification

Your most valuable context is sitting inside historical calls.

Customer Context

“Customer shares that she is balancing daycare responsibilities for her 2-year-old”

We expose this context for humans and AI agents to handle complex customer interactions.

Customer Context

2 clusters
PRIOR LEARNING RECOGNITION36.3%
SCHEDULING ABOUT CAMPUS VISIT

Domain Knowledge

2 clusters
INDIAN TEACHING QUALIFICATION ISN'T APPLICABLE45.6%
CENSUS DATE IMPLICATIONS29%

Policies & Procedures

2 clusters
EXPLANATION ABOUT HIGHER EDUCATION ENROLLMENT47.4%
CREDIT TRANSFER POLICIES45.6%

Soft Skill

2 clusters
EMPATHY AND REASSURANCE PROVISION
SUPPORT ABOUT ACADEMIC RESOURCES

0%

of AI agents fail in complex customer-facing scenarios.

Source: Salesforce Research

01

Even best-in-class chatbots are stuck in narrow, deterministic scenarios — booking, routing, scheduling.

02

They lack the domain knowledge, customer context, and soft skills to handle complex scenarios.

03

Documenting this for Agentforce or Fin AI takes weeks of manual overhead. We do it immediately and comprehensively.

04

To build AI agents that really work across a wide range of use cases, you need to build this foundation on historical calls.

We map every conversation into structured intelligence — then put it to work.

RETENTION PROTOTYPE

“You have more information than a live agent at this point.”

Head of Student Support

Australian University

“We went from weeks of manual tagging to a complete picture in hours.”

Director of CX Operations

EdTech Platform

See what your conversations reveal.

We’ll map your historical interactions and show you the context your AI agents are missing.

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