# How to think about agentic solutions for the enterprise

DevFeed: [How to think about agentic solutions for the enterprise](<https://devfeed.tech/articles/how-to-think-about-agentic-solutions-for-the-enterprise-35870.md>)

Original publisher: [Read original article](<https://temporal.io/blog/how-to-think-about-agentic-solutions-for-the-enterprise>)

Author: Tim Imkin

Published: 2025-10-21T00:00:00Z

Content type: opinion

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [observability](<https://devfeed.tech/topics/observability.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-development](<https://devfeed.tech/tags/ai-development.md>), [community](<https://devfeed.tech/tags/community.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [observability](<https://devfeed.tech/tags/observability.md>), [recovery](<https://devfeed.tech/tags/recovery.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [scale](<https://devfeed.tech/tags/scale.md>)

## AI overview

This article examines the gap between AI experimentation and reliable enterprise production systems. It reports survey findings on adoption, observability, reliability issues, LLM inconsistency, orchestration failures, and the requirements for agents that run reliably, recover from failures, maintain visibility, and scale.

## Source excerpt

Enterprise AI demos impress, production hurts. From 150+ teams: why agents fail at scale and how Durable Execution delivers reliability, observability, and recovery.