// OPS T001 v1.0

AI Opportunity Audit

Turn a Slack or task-manager export into a ranked map of what AI should automate, delegate, or own next.

DELIVERY Typical 24H
PRICE From $20 / audit
CATEGORY Ops & workflow
METHOD AI + human review
ABOUT

About this task

We review workflow exports, repeated work patterns, and team context to identify where AI creates real leverage. The deliverable is a structured opportunity map with quick wins, deeper builds worth funding, and clear caveats so the team can act without guesswork.

SPEC

Input / output spec

INPUT_REQUIRED

  • Slack export, Linear / Jira / Trello / Notion export, or generic CSV / JSON
  • Short note on team size, function, and biggest bottleneck
  • Preferred focus: automate, delegate, build an agent, or all three
  • Output language and any privacy constraints

OUTPUT_DELIVERED

  • Ranked AI opportunity map by impact and feasibility
  • Top 5 quick wins your team can implement this week
  • Medium-lift workflows worth building next
  • Recommended owners, tools, and expected time savings
  • Assumptions, blind spots, and data gaps to verify
PROCESS

Execution flow

01 → Submit the task with an export link or sample file summary.
02 → Receive a scope-specific quote and ETA in under 5 minutes.
03 → We analyze repeated tasks, handoffs, blockers, and role patterns.
04 → A human reviewer tightens the recommendations and removes noise.
05 → Get a prioritized report your team can use in the next planning session.
TARGET

Who it is for

Best for teams that already have task data but still do not know where AI will actually move the needle.

FoundersChiefs of staffOperations leadsProduct opsRevenue opsAgencies
DESCRIPTION

Suggested task description

The public API only needs a plain-language description. Copy this, then replace the team context, export link, and output language as needed.

Copy this description into the task description field
Run task T001, AI Opportunity Audit. Analyze this workflow export and identify where AI should automate, delegate, or own work next. The team is 12 people across product and operations. Prioritize quick wins, then propose deeper agent builds, estimate likely time savings, and call out any assumptions or missing context. Output in English.