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From the firm's own write-upReceipt no. 7568
What sucked

iQor's enterprise clients had no visibility into the patterns and trends within their customer interaction data.

Call data was processed at scale but remained largely unanalyzed from a client-facing perspective, leaving iQor competing on commodity services.

Professional ServicesReporting & Data2–4 months
What they built

Sudolabs built InsightsIQ, a multi-tenant, client-facing insights platform. Phase one delivered configurable reporting dashboards with secure data abstraction; phase two added an executive recommendations engine using agentic AI for automated multi-step analysis, root-cause identification, and prioritized action items streamed in real time.

What changed
>95% analyst time reduction

Automated multi-step analysis replaced manual reporting work, cutting analyst time by more than 95%.

99.33% recommendation approval

AI-generated recommendations were approved by reviewers 99.33% of the time, indicating high trust in output quality.

10,000s of calls analyzed daily

The platform processes tens of thousands of calls per day across iQor's global operations.

Time to results
2–4 months
Company size
5,001+ people
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Who did it
Sudolabs

Pulled from work they published. Pluris hasn't reviewed it yet.