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PM automation

AI notices the delay before you do.

Status checks, reminders, meeting prep — most project-management time goes to simply finding out what's happening. AI watches your active projects continuously, detects signs of delay and risk, and helps coordinate the response.

  • Automatic delay & risk detection
  • Slack alerts with proposals
  • Auto-generated stand-up summaries
Concept diagram: AI spotting a slipping bar on a project timeline and raising an alert
The problem

How much of your week goes to "finding out"?

A manager's time is finite — yet so much of it is spent checking, chasing and reporting.

Status-checking became the job

Asking around, hopping between tools, stitching the picture together by hand — hours gone before any decision is made.

Delays surface too late

Problems show up at the weekly meeting — by which point downstream work is already affected.

Meeting & report prep

Every week, the same information gets collected and reformatted for stand-ups and reports.

Endless re-typing between tools

People keep copying updates between task trackers, chat and spreadsheets just to stay in sync.

How it works

AI prepares the picture. People make the call.

Keep the project tools you already use — AI gathers the state behind the scenes and lines up the decision.

  1. Collect project data

    Progress data is pulled automatically from task trackers, repositories and spreadsheets into one picture.

  2. Detect delays & risks

    Overdue items, stalled tasks, dependency knock-ons — AI spots the early signs of slippage.

  3. Alert in Slack, with options

    What needs attention arrives in Slack as a situation summary with concrete adjustment options.

  4. Humans decide & adjust

    Move the schedule or trim the scope — the manager decides. AI helps apply the decision across tasks.

  5. Auto-generate stand-up summaries

    This week's progress, decisions and risks, summarized automatically — meeting prep drops to near zero.

AI never rewrites your schedule on its own. Decisions always stay with people.

Under the hood

Retrofits onto the tools you already run.

No tool migration required — we connect to your existing environment.

MCP connections to your tools

Custom MCP servers connect to Notion, GitHub, spreadsheets and whatever else you already use.

Rules × LLM hybrid detection

Deadlines and stalls are caught by deterministic rules; context-dependent signals go to the LLM. Fewer false alarms, fewer misses.

Slack workflow integration

Alerts, summaries and confirmations all happen inside the Slack channels you already work in.

Scheduled runs on Cloud Run

Watching and summarizing run reliably on Cloud Run — every morning, every week, on time.

What you get

What an engagement delivers.

A setup where more projects don't mean more management overhead.

A project watcher

Continuous monitoring of active projects with a single consolidated view.

Detection rules & alerting

Detection conditions tuned to how your projects actually run, with the right recipients and cadence.

Automated stand-up summaries

Daily or weekly progress digests delivered to Slack on schedule.

A coordination agent

An agent that preps task updates and reschedules according to your decisions.

Operations documentation

How to adjust detection rules and add projects — ready to hand over internally.

Ongoing support

Post-launch accuracy tuning and expanding coverage to more projects.

Turn status-checking into forward motion.

Tell us your tools and how your projects run, and we'll propose the right setup. Start with a free consultation.