Beyond automation: Rethinking the enterprise for AI

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In Episode 4 of the Unmodeled briefing series, Salesforce’s Shibani Ahuja joins the conversation to explore why AI transformation is bigger than a technology initiative—and what it takes to move from isolated use cases to enterprise-wide impact. The conversation examines why organizations need to start with business outcomes and rethink end-to-end processes, rather than simply automating individual tasks or deploying AI for the sake of AI.

Shibani also explores the shift from workforce AI to digital labor, what organizations need to make autonomous agents work at scale, and why data, guardrails and connected technology ecosystems are critical. From redefining ROI and building employee trust to developing greater adaptability, the discussion highlights how leaders can move beyond pilots and proofs of concept toward AI that delivers measurable business outcomes.

Unmodeled Briefing- Episode 4

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Watch Episode 4 of Unmodeled Briefing

In episode 4 of the Unmodeled briefing series, Salesforce’s Shibani Ahuja shares why organizations need to move beyond task-level automation to rethink end-to-end processes and operating models with AI. The conversation explores why successful AI transformation starts with business outcomes, not technology, and how connected ecosystems, strong data foundations, governance, and adaptability can help organizations move from experimentation to measurable impact.

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Explore AI transformation insights

See how leaders are redefining work in an AI-native world.

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Vikas Agarwal

CTIO, PwC Advisory, PwC US

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