The Agentic Work Report · 2026-04-062026-07-05

The Agentic Work Report for Harbor & Pine

Harbor & Pine runs client work through Slack the way most agencies do: requests arrive in client channels, get re-typed into Asana, chased in threads, and summarized again for Friday updates. Across 12 channels we found four AI workers' worth of repeatable coordination — intake, traffic, reporting, and delivery support — adding up to roughly 23 hours of skilled people's time every week. None of it requires replacing anyone; all of it requires giving a well-scoped agent the same read access your coordinators already have, with your leads approving anything that leaves the building.

From 18,437 messages · 12 channels · 24 people · 9 connected apps · 16 skills observed · 19 lessons learned from your team's corrections. Estimates are directional — see methodology.

Meet your agentic team

Each worker below is a coherent role assembled from flows we actually observed — with the tools it needs, the narrowest access that works, and the people who stay in charge.

Honest watchouts

  • Estimates are extrapolated from 90 days of messages — treat hours as directional, not payroll math.
  • Client-facing communication should keep a human approver indefinitely, not just during rollout; the trust cost of one bad automated client message outweighs months of saved time.
  • #copy-room and the craft side of #design-studio scored low on purpose: the work is the judgment. Automate the coordination around creatives, not the creating.
  • Budget and invoice data (Harvest) is sensitive — start Etta with read access to reports only, and audit what she posts for the first month.

How this was made

Scout read 90 days of history from 12 selected channels — 18,437 messages from 24 people and 9 connected apps. Deterministic signal detection first mapped the requests, chase messages, recurring cadences, approvals, and correction/rework moments in every channel; frontier-model analysis then identified the atomic skills being exercised, the lessons in the corrections, and the flows they compose, verified open questions with the team, and organized everything into workers a team could actually onboard. No message content leaves the analysis; raw messages are deleted once this report exists.

What happens next

These workers can live in your Slack — collaborating with your team, not replacing it.

Ergoly turns reports like this one into trainable AI workers that work in-channel, ask before acting, and learn from the experts named above. Join the waitlist and we'll onboard your first worker with you.

Made with ergoly.ai · Scout analyzed this workspace transiently — messages were deleted after this report was generated.