
This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Kathryn Harrison, Global VP of Strategy in AI Commercialization at Concentrix — and an exited founder who built and sold the B2B SaaS platform MakePay, founded Deep Trust Alliance, and previously helped lead IBM Blockchain — about what it actually takes to turn AI into measurable value across a global enterprise.
What's Covered:
Humans Plus AI, at Global Scale — Concentrix runs customer and technical support across 75 countries and 150 languages. Kathryn makes the case that the future workforce isn't AI replacing people — it's humans plus AI and automation — and what that looks like across 400,000 employees with segmented AI access.
Three Rules for Commercializing AI — Kathryn's framework for doing it at scale: start with outcome-based use cases, redesign the work instead of bolting AI on, and build in guardrails, integration, compliance, observability, and humans-in-the-loop. Plus why she frames "tokenomics" as capital allocation.
The Agentic Operating System — How Concentrix uses agentic workflows to recruit and onboard 50,000 hires a year, with a 21-day implementation goal — a real production system, not a demo.
From Pilots to ROI — Why most AI stalls before it delivers, how to actually measure return, and where enterprise AI spend most often goes wrong.
The Deepfake Threat — Drawing on her work founding Deep Trust Alliance, Kathryn on the rise of deepfake-driven fraud, how it differs from traditional cybersecurity, and the broader societal risks.
The Coming Shakeout — Orchestration across messy client tech stacks, consolidation among AI startups, and where Kathryn sees AI and automation heading next.
Connect with Kathryn:
LinkedIn: https://www.linkedin.com/in/kathrynannharrison/
Concentrix: https://www.concentrix.com/
Deep Trust Alliance: https://www.deeptrustalliance.org/
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