How Can Non-Engineering Teams Adopt AI at Scale?

AI is now widely available across the enterprise, but many organisations are still struggling to embed it into everyday business workflows.

In this episode of Enterprise Tech Talk, Saumitra Kalikar speaks with Ohad Ronen, AI transformation leader at Amdocs, about how non-engineering teams can move from AI experimentation to real adoption at scale.

The discussion explores why AI adoption in Finance, HR, Legal, Sales, Marketing and Operations is different from engineering adoption, why pilots often fail to become operational practices, and why business teams need more than access to tools.

Ohad shares practical lessons on AI domain builders, business outcome leads, hub-and-spoke governance, AI ROI, task-level economics, and the emergence of AI agents as digital employees.

This conversation is particularly relevant for CIOs, CTOs, CHROs, CFOs, enterprise architects, transformation executives and business leaders responsible for scaling AI beyond technology teams.

About The Guest:

Ohad Ronen is an AI transformation and product leader at Amdocs, focused on helping non-engineering teams adopt AI in governed, repeatable and measurable ways. He brings more than a decade of startup and product-building experience, and works at the intersection of enterprise AI adoption, business transformation, AI automation and digital labour.

00:16 — Introduction: AI adoption beyond engineering
01:42 — Ohad Ronen’s journey from startups to enterprise AI transformation
03:33 — Why business teams face different AI adoption challenges
09:50 — Tool access vs real AI adoption
14:48 — Why AI pilots fail to scale
20:05 — Rethinking processes instead of just automating them
23:04 — What engineering teams and vendors miss about business functions
33:03 — Hub-and-spoke governance for AI adoption
37:20 — Where enterprise AI strategy should sit
41:22 — Measuring AI value, ROI and AI economics
49:43 — AI agents and digital employees
53:13 — Key lessons for enterprise AI transformation

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