A Qualtrics survey of 33,000 employees across 24 countries found that technology friction drives disengagement most strongly in the first weeks of a new role. Every day spent waiting for a laptop, system access, or software that should have been ready is a day that makes a new employee question how much the organization values their time.
An organization with poor onboarding practices that hires 500 people a year is not just creating 500 frustrating first weeks. It is systematically telling its newest employees, at the moment they’re most open to forming an impression, that IT is something that happens to you rather than something that works for you.
A new marketing manager starting on Monday should not spend their first morning discovering that their laptop has no VPN access, their analytics tools are missing, or their account approvals are awaiting action from three different teams. Yet that remains a common experience in organizations where onboarding depends on disconnected systems and manual coordination.
AI agents are changing this by handling the entire provisioning sequence autonomously. Before the employee arrives on their first day, their device has been configured, software has been installed, and access has been granted so they can hit the ground running. Multiply that experience across an organization, and the cultural signal changes: This is a place where people are equipped, supported, and respected.
While that experience feels effortless and seamless from the employee’s point of view, a lot of preparation is happening behind the scenes. Autonomous onboarding depends on a unified source of context, containing the information that AI agents need about the employee’s role, required systems, security policies, and approval workflows.
When that foundation is in place, the system does not just complete the provisioning sequence. It learns from it. A manual process stays exactly as good as the people running it on any given day. In contrast, with the right controls and feedback loops, autonomous onboarding improves over time. Every sequence the system completes refines what it knows, such as which configurations work, where exceptions tend to occur, and what a new hire in a given role typically needs.
For the service desk team, the shift is just as significant. The manual work that consumed most of their time – chasing approvals, coordinating across systems, and following up on incomplete requests – is reduced. The service desk becomes less of a human routing layer and more of an escalation point, a place where employees turn for situations that require judgment, creativity, or empathy.
The Qualtrics data makes the stakes of a smooth onboarding process clear. Onboarding is one of the earliest and most consequential signals an organization sends about what working there is actually like. Employees who experience friction early in their tenure disengage faster and leave sooner. The inverse is also true. A new employee who can contribute from day one, without waiting, chasing, or enduring the small humiliations of a broken process, is more likely to stay engaged and more likely to stay.
Learn how ServiceNow’s Workflow Data Fabric and Context Engine connect enterprise data, surface business context, and help AI make more informed decisions.