In enterprise AI, a 0.1% error rate isn't a statistic – it's a balance sheet problem.
For years, the race in AI has been about scale. But what if the most powerful model isn't the most valuable one for your business?
On the latest episode of Humans of AI, WRITER’s Head of AI, Dan Bikel, makes the case for a radical reversal in thinking.
Dan argues that the randomness making consumer AI feel "human" is a critical liability for the enterprise, where predictability and trust are paramount. A 0.1% error rate sounds small until it results in 10,000 mistakes a day – each with an invoice attached.
This philosophy is the foundation of The Agentic Compact, our framework for responsible AI. It demands foundational transparency into an agent’s design, data, and objectives, shifting the focus from a model's potential to its practical, real-world application.
Discover why the future of enterprise AI belongs to the most transparent and auditable systems, not just the biggest.
🔗 Check it out wherever you get your podcasts!
pod.link/aHR0cHM6Ly9mZWVkcy5…