By Anne Walker, Founder of LEVEL 110
Modernizing HR with AI doesn't start with a software demo. It starts with an honest audit of where your People function is losing time, missing signals, and creating drag for the business.
Every HR tech vendor will tell you their platform will transform your People function. Some of them are right: for the right company, at the right stage, with the right problem. Most organizations buying HR AI software right now are not in that category. Tools get purchased before problems are defined, often because executive pressure to "do something with AI" arrives faster than the organizational alignment required to do it well.
The result is shelfware. Tools that get implemented without adequate change management support, never fully adopted, and quietly phased out eighteen months later. Modernizing HR with AI requires a different starting point and a different level of organizational commitment.
Before any conversation about tools, you need to understand where your People function is actually spending its time. In most companies, a meaningful portion of HR hours go to tasks that add no strategic value: manual reporting, data entry, scheduling, chasing down paperwork, pulling together information that should be automatic. This isn't a reflection of HR's priorities. It's a reflection of the systems and resources the organization has provided.
A workflow audit maps every significant HR process and asks three questions:
This doesn't have to be a lengthy manual exercise. AI can accelerate the audit itself. An HR leader or CEO can prompt an AI tool with a description of their current HR workflows and ask it to identify where time is likely being lost, where manual effort is replacing automation, and where the highest-leverage opportunities are. The output gives you a working hypothesis in minutes rather than weeks. The HR team's job is to validate it against reality, refine it based on what they know, and prioritize based on business impact.
The audit typically surfaces two or three areas where AI creates immediate, measurable leverage. Those are where you start, not with a broad platform purchase.
What data to gather first:
Sample prompt:
The output gives you a working map of your highest-leverage opportunities in minutes. Your HR team validates it, adjusts based on what they know, and you have a prioritized starting point without a weeks-long assessment process.
Once you know where time is going, you can map AI to specific operating advantages. In most mid-size companies, the highest-leverage areas are:
AI can screen resumes, score candidates against defined criteria, and surface patterns in hiring outcomes. Done well, this reduces time-to-fill and improves quality of hire. Done poorly, it introduces bias and creates a worse candidate experience. The difference is in how you configure it and what human judgment you keep in the process.
Most HR teams spend significant time producing reports that are out of date by the time they're read. AI-powered dashboards can give CEOs and leadership teams real-time visibility into headcount, turnover, performance trends, and attrition risk, without anyone manually pulling data. This is one of the highest-ROI investments a company can make.
AI can identify patterns that predict employee relations issues before they escalate: engagement drops, performance changes, sentiment shifts. Most companies find out about problems when someone resigns or files a complaint. With the right tools, you find out early enough to act.
Most performance management systems are built around annual reviews and generic rating scales — designed to document performance after the fact rather than accelerate it in real time. AI changes what's possible. It can draft role-specific performance standards in minutes, surface leading indicators before performance problems show up in results, and give managers the data they need to have better conversations more consistently.
The opportunity is significant, and the barriers to getting started are lower than most organizations think. For a deeper look at what a real-time, predictive performance management system actually requires, including whether everyone can get an A, read The Performance Management System Most Companies Are Afraid to Build.
One of the most common modernization mistakes is selecting AI tools in isolation from the systems already in place. If you're running Workday, selecting an AI platform that doesn't integrate with Workday creates more manual work, not less. Tool selection has to start with your existing infrastructure: your HRIS, your ATS, your performance management system. Build from there.
The best AI implementation is invisible. It quietly does the work in the background, surfaces what matters, and gets out of the way. If your team is spending significant time managing the AI tool itself, you have the wrong tool.
Before you implement anything else, build the dashboard. Every CEO should have a single view of the People metrics that matter to the business: open roles, time-to-fill, quality of hire, attrition by segment, performance completion, engagement score, and leadership effectiveness. If you can't see those numbers in real time, you're running blind.
The dashboard is also the forcing function for everything else. When the CEO can see the People metrics in real time, both the HR function and the executive team are accountable to them. That shared accountability is what drives modernization forward and what makes it stick.
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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