Insight Cortex
What Are Your Customers Telling You — at the Scale of Thousands of Calls?
AI listens to every customer interaction, identifies recurring patterns, and produces a quarterly report on what's actually being said. No sampling. Every call.
What it solves
Every service operation produces a steady stream of customer signal — phone calls, emails, surveys, complaints, support tickets, chat transcripts. The signal is rich. The volume is unmanageable.
The traditional response — quarterly NPS surveys, focus groups, sampling and reviewing a few calls — produces an impressionistic picture. Real patterns get missed because they live in the body of conversations no human will read at scale.
AI demos solving this look impressive — "we analyzed a year of calls in twenty minutes." The story underneath: those twenty minutes rest on months of foundation work to transcribe, structure, and store the underlying data. Without the foundation, the demo is a one-time wow that doesn't compound.
How It Works
Once the Company Memory exists — calls transcribed, emails structured, surveys captured — the Insight Cortex reads the corpus and identifies recurring patterns. Not sentiment scores; not keyword counts. Genuine pattern surfacing: "Customers calling about billing in the last 90 days reference the line item 'service fee adjustment' 4x more than any other concern. This is a new pattern; it didn't appear in the prior quarter."
Quarterly Voice-of-Customer reports compose automatically: top recurring patterns, new patterns emerged this period, patterns that have intensified or faded, suggested actions for the operations team.
On-demand pattern queries run anytime: "What did customers say about our after-hours service in Q2?" The Cortex pulls the relevant subset, composes the answer with examples and counts.
Reports are operator-grade, not consultancy slideware. They name what changed, why it matters, and what the company could do about it.
This is the analysis the practice has run as a Voice-of-Policyholder report — thousands of calls, AI-driven pattern analysis, executive-grade output. The foundation work that made twenty minutes of analysis possible was months of building Memory. With Memory in place, the report becomes routine.
What You Get
- Pattern detection across the company's customer-signal corpus
- Quarterly Voice-of-Customer report, composed automatically
- On-demand pattern queries — ask any question, get a structured answer
- Trend tracking — patterns intensifying, fading, or newly emerging
- Per-pattern drill-down — see the actual quotes and contexts that produced the finding
- Per-tenant deployment — your data, your operational IP, on infrastructure you control
In practice
A travel-health-assistance operation has thousands of customer calls transcribed and structured in its Company Memory. The first quarterly Voice-of-Customer report surfaces twelve recurring patterns; three of them are genuinely new this quarter. The biggest finding: customers calling about claims under a specific carrier reference confusion about a benefit limit 5x more than under any other carrier. The operations team digs in — the carrier had updated their policy schedule three months ago without updating the customer-facing explanation. A two-day fix to the explanation page resolves the recurring confusion. The pattern was invisible until the Insight Cortex surfaced it across all the calls.