Why AI agents fail in production, and how to fix them with Monte Carlo and Snowflake
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AI agents are rapidly moving from demo to deployment. But between the pilot and production phases there is a graveyard of projects that never made it.
In our recent webinar with Snowflake, Ethan Post, Principle FDE at Monte Carlo, and Sam Mittal, VP of AI Solutions at Snowflake, discussed this key challenge: what actually breaks when you run AI agents at enterprise scale, and what does it take to trust them in production?
Pilot to production stalls
The numbers are sobering. About 30% of AI projects get abandoned because of hallucinations. Nearly 95% fail to deliver ROI because they’re siloed from the rest of the business. And most teams find out something went wrong the worst possible way: a customer complaint.
The root cause is almost always the same. There’s a gap between the data layer and the AI layer. Models don’t know when data changes. Pipelines fail silently. Agents keep answering confidently with stale context.
Snowflake + Monte Carlo deliver agent trust
Snowflake’s Cortex AI addresses this by grounding agents in business truth — using Cortex Search for unstructured data and Cortex Analyst for structured data, with governance baked in through tools like Cortex Guard and TruLens for runtime safety and evaluation.
Monte Carlo closes the loop with a four-layer Trust Framework that monitors agent outputs, behavior, performance metrics like latency and token utilization, and the data context feeding the agent in the first place.
Together, the integration requires zero additional SDKs. Monte Carlo reads Snowflake’s native system tables directly, so there’s no data leaving your account and no new infrastructure to manage. The demo in this session shows exactly how this works in practice — including a live example of catching stale agent responses caused by an upstream pipeline failure that had been silently broken for weeks.
Watch the full on-demand recording here to see the demo and hear how teams at companies like Nissan and AstraZeneca are making AI agents work in the real world.
Our promise: we will show you the product.
