# AIOps: What we learned in 2025

DevFeed: [AIOps: What we learned in 2025](<https://devfeed.tech/articles/aiops-what-we-learned-in-2025-57199.md>)

Original publisher: [Read original article](<https://www.thoughtworks.com/insights/blog/generative-ai/aiops-what-we-learned-in-2025>)

Author: Zichuan Xiong

Published: 2026-01-30T00:00:00Z

Content type: article

Language: en

Sources: [Thoughtworks Insights](<https://devfeed.tech/sources/thoughtworks-insights.md>)

Topics: [AIOps](<https://devfeed.tech/topics/aiops.md>), [ai-governance](<https://devfeed.tech/topics/ai-governance.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [ai-governance](<https://devfeed.tech/tags/ai-governance.md>), [ai-systems](<https://devfeed.tech/tags/ai-systems.md>), [aiops](<https://devfeed.tech/tags/aiops.md>), [blog](<https://devfeed.tech/tags/blog.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [rca](<https://devfeed.tech/tags/rca.md>), [root-cause-analysis](<https://devfeed.tech/tags/root-cause-analysis.md>)

## AI overview

Thoughtworks reports lessons from 20 AIOps proofs of concept across more than 16 clients in 2025, with eleven reaching production. The article identifies governance, operational knowledge, continuous tuning and buy-versus-build decisions as key factors in the gap between proof of concept and production. It highlights knowledge-focused use cases such as incident deduplication, operational knowledge retrieval and root-cause analysis, while noting that autonomous remediation and MCP-based agent communication remain constrained or immature.

## Source excerpt

AIOps: What we learned in 2025