Thoughts on strategy, implementation, and the evolving landscape of voice AI technology.
Organizations may achieve higher performance, stronger resilience, and better returns by pairing full-workforce AI enablement with disciplined governance, rather than by pursuing blunt headcount reductions.
Organizations may achieve higher performance, stronger resilience, and better returns by pairing full-workforce AI enablement with disciplined governance, rather than by pursuing blunt headcount reductions.
A framework for deciding when to leverage existing platforms and when custom development makes sense.
What enterprise deployments reveal about customer acceptance, agent augmentation, and operational impact.
Moving beyond vanity metrics to understand the real business impact of voice AI investments.
What it takes to build voice systems that feel instantaneous—and why latency matters more than you think.
Practical steps for making voice AI systems understandable, governable, and acceptable to stakeholders.
Why real-world performance often diverges from leaderboard results, and how to evaluate models properly.
Why some synthetic voices feel effortless and others feel unsettling—and what to do about it.
How broadcasters and content creators are adopting voice technology across the production pipeline.
Common failure patterns in voice AI pilots—and how to design experiments that survive contact with reality.