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AI Agent Opportunity Scan: Finding the Work to Delegate

Companies have stopped thinking in prompts and started thinking in agents — software that runs whole tasks. The hard part isn't the technology. It's knowing which tasks to hand over first.

From prompts to agents

An AI agent doesn't just answer — it plans and executes multi-step work toward a goal. Anthropic's data shows this is exactly where usage is heading: directive delegation of whole tasks climbed from 27% to 39% in eight months. The opportunity is no longer “write me an email,” it's “handle the entire follow-up sequence.”

But agents amplify whatever you point them at. Aim one at a clean process and it scales output; aim it at chaos and it scales errors. So the first job is finding the right tasks.

What makes a task a good agent candidate

Notice these are exactly the tasks Lean already flags as waste when done by humans: re-keying data, chasing approvals, copying between systems.

How the scan works

You inventory the work across departments, score each task against the four criteria above, estimate volume and time, and rank the candidates by ROI. The output is a prioritized shortlist — your first 50 agents — sequenced from “do now” to “later.” It's the action layer that sits on top of your AI Workforce Blueprint.

Why readiness still gates it

A scan that ignores process quality produces a list of expensive mistakes. That's why the scan builds on the AI readiness assessment: it filters out tasks whose underlying process isn't stable yet. Failure is operational, and so is success.

How to start

Run the Lean + AI Readiness Report first to map your processes and waste ($5) — the waste map is already half the agent shortlist. To build and deploy the agents, Revenue Velocity Group handles execution; SNA-BIZ reveals which hand-offs between people are the real bottlenecks worth automating.

Find your first AI agents

The $5 report maps your processes and waste — the starting point for any agent shortlist. 14-day guarantee.

Find My Agents — $5
What is an AI Agent Opportunity Scan?
A structured review that finds the repetitive, rule-based, low-judgment tasks across your company that AI agents can run, then ranks them by ROI into a prioritized shortlist — your first agents to deploy.
How do I know which tasks AI agents should do?
Good candidates are repetitive, rule-based, low on human judgment, and supported by clean data. These overlap strongly with the tasks Lean already identifies as waste when done manually.