#352 AI Agents at Work: What Actually Breaks (and How to Fix It) with Danielle Crop, EVP Digital Strategy & Alliances at WNS

About this episode

Danielle Crop discusses the challenges and considerations of using AI agents in the workplace.

AI agents are spreading across the data and AI industry, promising to automate everything from research to outreach. At the same time, teams are learning that these tools can hallucinate, leak data, or act in surprising ways. In day-to-day work, the challenge is deciding which tasks to hand off, what data to share, and how to keep the output trustworthy. Do your agents actually add value, or just add noise? Are they running in a secured, ring-fenced environment? How do you balance playful experimentation with critical checking when an agent confidently gets a key fact wrong? Danielle leads go-to-market strategy at WNS, Capgemini's AI transformation services arm. Previously, Danielle was Chief Data Officer at American Express and Albertsons. She also write The Remix substack on technology trends, and is an Editorial Board Member for CDO Magazine. In the episode, Richie and Danielle explore AI agents at work, experimentation with guardrails, data privacy, access, tone controls, OpenClaw automation wins and failures, token costs, tying AI plans to P&L strategy, shifts in careers and hiring, how data teams handle unstructured data governance, and much more. Links Mentioned in the…

People in this episode

Host: Richie

Guest: Danielle Crop

Topics covered

• AI agents
• data privacy
• automation
• data governance
• experimentation
• trustworthiness

Keywords

• AI agents
• data governance
• automation
• data privacy
• experimentation
• trustworthy output
• P&L strategy

Mentioned in this episode

Organizations: WNS, Capgemini, American Express, Albertsons, CDO Magazine

Products: AI-Native Course: Intro to AI for Work

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