Choose the first job
Pick work that happens often, uses information you can point to, and ends with a result you recognize. Routine email, meeting follow-up, open-item reporting, and CRM updates are natural starting points.
- What starts the job?
- Which connected information does it use?
- What should be finished?
- Who reviews or receives the result?
- How often does it happen?
Test it on your work
Use recent examples from the business. Include everyday cases and a few messier ones. Track whether the facts are right, how much editing you do, and how much owner time the finished workflow gives back.
Accuracy
Names, dates, amounts, commitments, and records are correct.
Completion
The job reaches the result you asked for.
Owner time
The finished result saves meaningful time.
Consistency
The same instructions produce dependable work across real examples.
Control
Important actions appear in the approval flow you chose.
Look at the whole working system
A useful AI employee brings together instructions, business context, connected tools, schedules, memory, meetings, and approvals. Ask to see the actual workflow in the product using a job that matters to you.
- Can it connect to the systems you use now?
- Can an email or schedule start the work?
- Can it join the meetings you want covered?
- Where do important actions appear for approval?
- Does the account keep the conversation and decision history?
- Can your team understand and manage it from one dashboard?
Measure the business value
Compare the full working job with the way the business handles it today. Count owner hours returned, faster response, fewer dropped follow-ups, work completed after hours, and the capacity to serve more customers.
The most useful number is the value of the finished job—not the number of features in the demo.
Expand from a win
Once the first job works the way you want, add the next job that uses the same inbox, CRM, documents, meeting context, or customer history. Each successful workflow makes the employee more useful to the business.
