By Anne Walker, Founder of LEVEL 110
Not everything in HR should be automated. CEOs who understand the difference between high-leverage automation and costly distraction will move faster with less risk and less wasted spend.
There's a version of HR automation that saves the business real time and money. And there's a version that creates complexity, frustrates employees, and produces data no one trusts. The difference is not which tools you buy. It's whether the organization has made deliberate decisions about what should and should not be automated, and whether HR has been given the authority and runway to make those decisions thoughtfully.
CEOs need to be part of that process. Not because they need to understand the technology, but because the highest-impact automation decisions are business decisions: about where speed matters, where human judgment is irreplaceable, and where the cost of getting it wrong is high. HR cannot make those calls alone, and shouldn't be expected to.
This is the single highest-leverage automation opportunity in most HR functions. If your team is manually pulling data to produce weekly or monthly People reports, that time is being completely wasted. Automated dashboards that pull live data from your HRIS and present it in a format the CEO and leadership team can act on are not a luxury. They're a baseline expectation for a well-run People function.
What data to gather first:
Sample prompt:
The output gives you a working dashboard design in minutes. Your HR team validates it, confirms which data sources are available, and you have a blueprint to hand to your HRIS administrator or implementation partner.
The early stages of recruiting, including initial screening, scheduling interviews, and sending status updates, are high-volume, low-judgment tasks. Automating these frees recruiters to spend their time where they add value: assessing fit, selling the opportunity, and advising hiring managers. Done correctly, automated screening improves consistency and reduces time-to-fill without degrading candidate quality.
New hire onboarding involves a predictable sequence of tasks: paperwork, system access, introductions, training completion, check-ins at 30, 60, and 90 days. Most of this can be automated. The human touchpoints, including the manager conversation, the culture integration, and the performance expectation setting, should stay human. Automating the logistics frees managers to focus on those conversations.
Tracking policy acknowledgments, certification renewals, mandatory training completion, and benefits enrollment deadlines is time-consuming and low-value work for an HR team. Automation handles it reliably and creates an audit trail that protects the business.
This is where most HR teams quietly lose enormous amounts of time. Every name change, address update, location transfer, supervisor change, title adjustment, and leave request that flows through HR manually is a candidate for automation. Benefits enrollment, open enrollment communications, dependent verification, and life event updates follow predictable rules and require no human judgment. They require accuracy and speed, both of which automation delivers better than manual processing.
Headcount approvals and position management are equally automatable at the workflow level. Routing an approval request to the right manager, CFO, or HR business partner, tracking its status, and triggering the next step in the hiring or onboarding sequence is a process problem, not a judgment problem. Automating it removes the delays, lost emails, and bottlenecks that slow down hiring and frustrate managers.
For most mid-size companies, HR operations and transactions represent the single largest volume of HR work and the lowest strategic value per hour spent. Automating this category frees HR capacity for the work that actually requires experienced people, and the difference in team energy and output is immediate.
What data to gather first:
Sample prompt:
Most HR teams are surprised by the output. The transactions that feel complex often automate cleanly. The ones that feel simple sometimes have a compliance or approval step that needs to stay human. Getting that map done up front prevents the wrong implementation choices.
The performance conversation itself should stay human. But the infrastructure around it, including drafting role-specific performance standards, sending pulse surveys, collecting check-in data, tracking goal completion, and surfacing leading indicators before problems show up in results, is highly automatable. AI can draft performance standards for a specific role in minutes from a good prompt. Pulse tools can run continuously in the background without HR manually designing and distributing surveys. The manager's job is to have better conversations using better data, not to generate the data manually. For a deeper look at what a modern, AI-enabled performance management system can look like, read The Performance Management System Most Companies Are Afraid to Build.
AI can help managers prepare for performance conversations, surface data, and identify patterns. It should not replace the conversation itself. Performance management is fundamentally a human process: it requires judgment, context, and relationship. Companies that try to automate their way through performance management produce data and miss the point entirely.
When an employee raises a concern, experiences a conflict, or is going through a difficult transition, the response needs to be human. AI can help HR teams triage volume and identify patterns across employee relations cases, but the investigation, the conversation, and the resolution are judgment calls that require experienced people.
AI can provide market data, model scenarios, and flag outliers. Compensation decisions, including who gets what and why, require human judgment and CEO accountability. Delegating those decisions to an algorithm is a risk most companies cannot afford to take.
The CEO's job is not to select the tools. It's to set the standard and create the conditions for success. That means being clear about what outcomes you expect from the People function, what visibility you need, and where you will not accept a degraded experience for employees or candidates. It also means providing the budget, cross-functional support, and organizational patience required to implement automation well.
When CEOs are specific about expectations and active in removing barriers, HR automation investments get made in the right places. When CEOs push for speed without providing the necessary conditions, the result is rushed implementation, not HR reluctance.
Anne Walker is the Founder of LEVEL 110, a San Diego-based executive HR consulting firm. She works directly with CEOs and senior leaders to remove organizational drag, modernize the People function using AI, and build leadership systems that scale.
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