Workflow redesign
Can the operator deconstruct the work, identify bottlenecks, and rebuild the process around better information and automation?
THE OPERATIONAL AI ERA
Urrly looks for functional leaders who combine domain expertise with evidence they can use AI, automation, and coding agents to change how finance, operations, sales, marketing, revenue cycle, or service delivery performs.
HOW URRLY FRAMES THE MARKET
WHERE URRLY CAN HELP
Can the operator deconstruct the work, identify bottlenecks, and rebuild the process around better information and automation?
Can the operator use coding agents to inspect data, prototype tools, automate tasks, and collaborate effectively with technical teams?
Does the candidate understand the function deeply enough to know what should be automated, what must remain controlled, and what good looks like?
Is there evidence the candidate improved speed, cost, quality, decision-making, revenue, or customer experience?
REPRESENTATIVE SEARCHES
QUESTIONS THE SEARCH SHOULD ANSWER
What workflow did the candidate redesign?
What did the candidate build or automate?
How did the candidate validate quality, control, and adoption?
What measurable operating result changed?
VERIFIED RECRUITING OUTCOMES
DIRECT ANSWERS
An AI-enabled operator is a functional leader who can redesign work using AI, automation, and coding agents while applying the domain judgment required to protect quality, controls, customers, and the business outcome.
No. Basic chat and copy assistance can be useful, but the stronger hiring signal is evidence that the candidate used modern tools to analyze a workflow, build automation, connect systems, improve decisions, or materially change operating performance.
Not necessarily. The person may lead finance, operations, sales, marketing, revenue cycle, or another function. The requirement is practical technical fluency combined with deep functional judgment and evidence of results.
START WITH ONE ACTIVE HIRING NEED