AI AGENTS

Cross-Team Dependency Detector from Standups

Reads each team's Loom standups and commit activity, detects when one team is blocked waiting on another.

CategoryAI Agents
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily multi-team schedule
  • ActionFetch cross-team Loom standupsLoomLoom
  • ActionPull commit/PR ownership signalsGitHubGitHub
  • ActionMap cross-team dependencies with LLMOpenAI
  • LogicSkip if no external dependency
  • OutputNotify owning team in MS TeamsMicrosoft Teams

What it does

Finds hidden cross-team dependencies buried in async standups. It reads standup transcripts and recent commit activity across multiple teams, identifies statements where one team is waiting on another team's work, and notifies the team that owns the dependency directly in their Microsoft Teams channel, so the blocker reaches the people who can actually unblock it.

When to use it

In orgs with several squads where standup blockers often name another team, but that other team never hears about it until it's escalated. Use this to close the loop automatically.

How it works

  1. 1A daily schedule fires after all teams' standup windows close.
  2. 2Fetch the day's Loom standups across the tracked teams.
  3. 3Pull recent GitHub commit and PR activity to ground who owns what.
  4. 4An OpenAI step extracts cross-team dependency statements and maps each to the owning team.
  5. 5A logic step skips when no external dependency is found.
  6. 6Post a targeted heads-up to the dependency owner's Microsoft Teams channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect Microsoft TeamsChannels, chats, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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