LEAGUE 4 OF 5 · CHAMPIONS LEAGUE
AI Agents
An AI agent has both high context and high agency, meaning freedom. You set the outcome, and within the guardrails we provide, it decides how best to achieve it, intelligently picking the steps and tools at its disposal.
WHO DOES WHAT IN THIS LEAGUE
You
Set the outcome, the guardrails and what needs your approval.
The AI
Decides the steps and picks the tools to reach the outcome, within those guardrails, and reports what it did.
What it looks like in practice.
Four everyday examples from different parts of a business.
SALES
Brief me before Thursday
You ask for a briefing on a prospect. The agent decides which sources to check, reads them and writes a one-page brief with the questions worth asking.
CUSTOMER SERVICE
Routine tickets, resolved
It looks up the order, checks your policy and resolves the ticket within limits you set, such as refunds up to an amount you define. Everything else is escalated with a summary.
OPERATIONS
From request to ready quote
It emails the client for missing details, prices the job with your rules and puts the finished quote in front of you for approval.
RECRUITING
A first screen that reads every CV
It screens applicants against the role profile, asks candidates clarifying questions and books interviews in the hiring manager's calendar.
Where we've seen this work, by decision type.
Decides what to say
- Inbox manager
- Voice receptionist
- Outreach agent
- Website advisor
- Quote writer
- Proposal drafter
Decides what happens next
- Lead qualifier
- Booking manager
- Onboarding agent
- Renewal manager
- Collections agent
- Reorder agent
Decides what to escalate
- Claims handler
- Support triage
- Incident reporter
- Fraud watch
- Approval router
- Churn manager
You know you're here when…
- You hand over goals, not step lists
- The agent can use your tools and systems
- Approval limits are written down
- You measure how often it gets it right
Watch out for
- Guardrails that are vague or missing
- More system access than the job needs
- Going live without testing it next to your team
- Chatbots renamed as agents
What it takes to play here reliably
You're in a league when your systems run reliably there, not when you've tried it once. And higher isn't automatically better: the right league is the one that fits the work.
- A clear outcome and a way to measure success
- Permissions and approval limits
- Proof side by side with your team before it runs alone
- An audit trail of everything it did
WHERE WE'D START WITH YOU