AI Hype vs. Real Value
About this episode
Manish Dasaur discusses the challenges and strategies for successful enterprise AI implementation.
Manish Dasaur is a Managing Director at PwC with over 20 years in data and AI, having helped 100+ clients navigate AI disruption and extract real business value from data, AI, and agentic AI initiatives. In this episode, he breaks down why most enterprise AI programs stall — and the playbook the winners are using instead. Huge thanks to PwC for supporting this episode! 💰 The 30% benchmark — What "good" actually looks like: real efficiency gains clients are reporting across engineering, finance, HR, and supply chain 🔄 Workflows, not use cases — Why isolated pilots and POCs never show up in EBITDA, and how end-to-end workflow redesign does 🧪 Champion vs. challenger — Running a control group against your AI-automated process so ROI is demonstrated, not guessed 📞 Why customer care agents are still freaking hard — Context, CDP integration, billing systems, and voice-to-voice latency 💸 Tokenomics & FinOps — Consumption-based cost surprises, model selection, prompt engineering, and enforcing cost-per-workflow budgets 🔍 Auditing agentic behavior — Using AI to test AI, the missing "SOC 2 for agents," and certifying agents for sensitive use cases 👤 Human in…
Sponsors
PwC
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