During the many enterprise infrastructure conferences I attended this spring, some physically, some virtually, a set of common themes and engineering questions began to emerge in the field of #AgenticOps the #agentic #AI successor to #AIOps.

Namely, how can #AIagents achieve the consistency and reliability necessary to manage production infrastructure without human and deterministic bottlenecks or exploding #token costs?

This just-published feature summarizes months of in-depth chinwags with various industry sources, including several of my ever-patient analyst friends, at conferences including #GoogleCloudNext, #IBMThink, #RHSummit, #DellTechWorld, #DASH2026 and #CiscoLive.

Check out the full story here: https://www.techtarget.com/searchitoperations/news/366645026/AgenticOps-for-infrastructure-faces-a-deterministic-dilemma

Old project ops looked normal because everyone got used to it: Trello cards drifting out of date, Slack threads nobody can reconstruct, and a weekly status meeting spent asking what changed.

A solid AI project copilot does the opposite. It reads tickets, docs, and team updates, then flags blockers, dependency risk, and stale priorities before the meeting even exists. If you want to automate your business, DM me. #AIOps #ProjectManagement #WorkflowAutomation

Most project reporting is still theater.

People move cards in Trello, chat in Slack, then sit in another meeting to explain the same work again. The old workflow burns manager time and still misses delivery risk.

AI project copilots can read task movement, summarize progress, surface blockers, and draft stakeholder updates before anyone asks. Faster signal, less ritual. If you want to automate your business, DM me. #AIops #ProjectManagement #Automation

A lot of teams still run delivery through Trello boards, Slack check-ins, and one painful weekly status meeting.

That system does not create clarity. It creates lag.

The better model is an AI project copilot: it reads task changes, summarizes progress, flags blockers early, and drafts the next actions before the meeting even exists. If you want to automate your business, DM me. #AIops #ProjectManagement #WorkflowAutomation

Old project management was basically clerical work: updating Trello, chasing people in Slack, then sitting through a status meeting to discover the same blocker you could have seen two days earlier.

New setup: an AI project copilot watches task changes, docs, and chat, drafts weekly plans, and flags risk before it turns into delay. Less coordination theater. More shipping. If you want to automate your business, DM me. #AIops #ProjectManagement #WorkflowAutomation

Old project ops: Trello board drift, people chasing updates in Slack, then a 45-minute status meeting to rebuild reality.

New project ops: an AI project copilot reads Jira tickets, Slack threads, meeting notes, and docs. It drafts the weekly update, spots owners at risk, and flags blockers before they become deadline slips.

That is better coordination, not more admin. If you want to automate your business, DM me. #AIops #ProjectManagement #Automation

The fourth talk recording from DevOpsDays Zürich 2026 is online. 🎥

Melchior Thambipillai on Automated Root Cause Analysis: real-time dependency graphs, RAGs, and LLMs tracing cascading degradation back to the manual action that triggered it.

Not a concept talk. A live demo from production.

Watch on Vimeo: https://vimeo.com/1195129638
Or YouTube: https://youtu.be/l6YmnyHfVJw

#DevOpsDays #Observability #AIOps

24 hours until the CfP for "Charlemos de SQL Server" closes: https://sessionize.com/charlemos-de-sql-server

#cfp #conference ##aiops ##agenticsre ##sretrends