Blog tag

Tagged: agentic project management.

9 articles tagged agentic project management

Concepts8 min5 views

What is an AI project manager? What one actually does today

A plain definition of the AI project manager: the three things the term means, a week of real work on a live board, and the parts only a human can hold.

Product11 min3 views

How to use AI agents in Utter: connect them, assign work, and follow their sessions

A start-to-finish walkthrough: connect an agent, scope its key, assign it issues, and watch its sessions, without giving up control of the board.

Guides16 min54 views

How to manage a team of AI agents without losing track of what they're doing

Running several AI agents at once? The day-to-day of a fleet: a roster, live sessions, instant delegation, per-field permissions, and verified work.

Opinion7 min2 views

Will AI agents replace project managers? What actually changes

Agents already handle the mechanical parts of project management. The judgment part is harder, and it is not going anywhere. An honest look at the shift.

Comparisons7 min3 views

The MCP audit: which project tools can AI agents actually use? (July 2026)

We audited the MCP servers of 13 project management tools: who has one, what agents can really do, the call caps, and the gaps nobody mentions.

Guides6 min3 views

Can an AI run your standup?

Mostly yes, and your team will thank you. What an agent can compile from the board, what still needs a human, and how to set up an async AI standup.

Guides5 min2 views

AI sprint planning: what actually works in 2026

Where AI genuinely helps plan a sprint, drafting, sizing, capacity checks, and where letting it decide is a mistake. A working setup, honestly described.

Guides12 min2 views

AI agent project management: the complete guide

How to run real projects with AI agents on the board: connecting them, assigning work, keeping review, what breaks, and how to pilot it in a week.

Concepts11 min4 views

What is agentic project management? A plain-language guide with a working example

A copilot waits for your prompt. An agent acts on an event. Here is the perceive-plan-act-check loop explained, with one real end-to-end run inside Utter.