[Interview] Navigating AI with Confidence: Sam Haslam Director at WTW Risk & Resilience Advisory

Why It Matters

AI can reshape retail margins and customer experience, but unmanaged risks threaten brand trust and regulatory compliance. WTW’s risk framework enables retailers to adopt AI confidently while protecting their bottom line.

Key Takeaways

• Visual AI enables real‑time virtual garment try‑ons
• Predictive AI improves supply‑chain planning accuracy
• AI governance prevents data privacy and ethical breaches
• Slow AI adoption creates competitive disadvantage
• WTW provides AI risk assessments and mitigation roadmaps

Pulse Analysis

Retailers are witnessing an AI renaissance, with visual models turning virtual try‑ons from concept to storefront reality and predictive algorithms fine‑tuning inventory flows. These technologies promise higher conversion rates, reduced stockouts, and personalized design pipelines, driving revenue growth in a market where consumer expectations evolve daily. Yet the speed of innovation outpaces many firms’ internal capabilities, creating a gap between ambition and execution.

The flip side of rapid AI deployment is a surge in risk exposure. Unchecked data collection can breach privacy laws, biased algorithms may erode brand equity, and opaque decision‑making can trigger regulatory scrutiny. WTW’s AI Risk and Readiness Assessment tackles these challenges by profiling an organization’s commercial goals, operational model, and existing controls, then pinpointing financial, reputational, and cultural liabilities. The resulting roadmap blends mitigation tactics—such as governance frameworks, responsible‑AI training, and continuous monitoring—with clear milestones, allowing retailers to scale responsibly.

Strategically, the winners will be those that embed AI governance into their core culture rather than treating it as a bolt‑on. By aligning AI initiatives with risk‑aware policies, retailers can accelerate innovation without sacrificing compliance or consumer trust. WTW’s advisory model emphasizes simplicity, translating complex risk concepts into actionable steps that frontline teams can adopt. As AI continues to redefine the retail landscape, a balanced approach—combining speed, accountability, and resilience—will determine long‑term market leadership.