Your first AI agent probably should not run your company.

It should do something smaller: turn incoming enquiries into a tidy review queue, assemble a weekly report, or draft a meeting brief. If the demo needs dramatic music, the scope may already be too large.

The current wave of workplace agents makes connected workflows more accessible. OpenAI describes workspace agents that handle repeatable work across tools. That is a useful development, not a reason to hand every system the same password.

Pick a task with edges

A good first task has a recognisable beginning and end. “Improve marketing” has neither. “Read new enquiry forms and draft a qualification summary for review” has both.

Write down the input, output, owner and deadline. Add what the system must never do. For an enquiry assistant, that might mean no sending emails, changing deal stages or promising prices.

These limits are part of the product. They are not pessimism wearing a lanyard.

Design the handoff before the automation

Consider a fictional design studio receiving mixed enquiries. Its assistant extracts the requested service, deadline and stated budget. It flags missing information rather than guessing. A person reviews the summary before contacting the prospect.

The assistant can recommend a question. It cannot quietly turn “maybe next quarter” into “ready to buy.”

Give uncertain cases a visible queue. If the agent cannot read an attachment or finds contradictory details, the output should say so. A blank field is more useful than a confident invention.

Test the awkward cases

Start with a small set of anonymised historical enquiries. Include incomplete messages, spam, unusual requests and examples that should be rejected.

Review three things: factual accuracy, whether the handoff saves work, and whether the output follows the limits. Record correction time as well as preparation time. Saving five minutes and creating ten minutes of checking is a productivity loss with excellent branding.

Do not connect live customer accounts until the dry run is useful.

Decide whether to keep it

A simple pilot scorecard can track minutes per enquiry, summaries accepted without changes, missed urgent requests and exceptions needing help. Choose your acceptable thresholds before reviewing the results.

Run the manual process alongside the pilot briefly. Keep a way to turn the automation off, and name the person responsible for failures.

Your first agent earns a bigger job by doing the small one reliably. That is how you hire people, too—although people generally object to being called version 0.3.

For a broader implementation guide, read how to build a digital marketing AI agent.