Teams SKYCOT is built to support.

Modeled: most repetitive tickets resolved without a human

In this profile, Mariah handles post-purchase support — order status, refunds, shipping ETAs — resolving the repetitive majority autonomously and escalating the judgment calls to the human team.

Modeled: patient-portal tickets handled — every action audit-logged

In this profile, Jamal handles patient-portal messages — appointment changes, refill requests, results questions — with every action gated, logged, and traceable to a specific policy version.

Modeled: evidence pack assembled in days, not weeks

In this profile, Tobias runs a recurring compliance evidence-collection workflow against a large control checklist, attaching every collected item to a specific policy version and source system.

Modeled: high weekly screening volume, a handful surfaced to a human

In this profile, Priya screens the weekly inbound resume volume against a recruiter-authored rubric, flags every rejection with a structured reason code, and routes the close calls to a human.

Modeled: weekly client updates drafted across every site

In this profile, Nori drafts the weekly client update for each active site by reading the underlying daily logs, RFI tracker, and schedule milestones — the responsible engineer reviews and sends.

Modeled: dozens of client engagements coordinated, nothing slipping

In this profile, Peta coordinates dozens of concurrent client engagements — tracking what each is waiting on, drafting follow-ups, and surfacing blockers for the human PM to resolve.