AI has the potential to reshape efficiency administration, however provided that it makes the expertise less complicated for workers and managers. That was the clear message from Bruce Walcroft, Director of Options Engineering at Betterworks, in dialog with UC As we speak at HR Tech Europe 2026.
UC As we speak’s time at HR Tech Europe confirmed that AI was one of many dominant themes throughout HR conversations, with distributors and consumers centered on find out how to deliver it into on a regular basis workflows. However interviews like this make one level particularly clear: AI alone is just not sufficient. The true take a look at is implementation and whether or not these instruments take away friction or just transfer complexity elsewhere.
In efficiency administration, that distinction issues. If AI provides one other layer of course of, one other immediate, or one other system to be taught, it dangers changing into a part of the issue slightly than the answer.
The Drawback with AI-Enabled Efficiency Administration
Walcroft’s central argument is that many organizations nonetheless count on AI to suit neatly into the best way they already work. That, he instructed, is a mistake:
“The enterprise distributors usually underestimate the quantity of thought that they should put into what they’re attempting to attain.”
That goes to the guts of why so many transformation initiatives stall. Corporations typically take previous processes and place them inside new software program, anticipating higher outcomes. However as Walcroft famous, “you’re not going to get any totally different consequence” if the method itself is unchanged.
That’s very true in efficiency administration, the place the hole between technique, targets, suggestions, and critiques is commonly vast. Staff are anticipated to outline targets, managers are anticipated to overview efficiency, and HR groups are anticipated to maintain the entire system aligned. If AI is layered onto that construction with out rethinking the workflow, it may possibly make the expertise tougher to navigate.
Walcroft’s feedback additionally level to a wider market difficulty: a whole lot of AI innovation is essentially interface ornament. The product might look smarter, but when workers nonetheless want to grasp sophisticated workflows or determine find out how to use the device, adoption will lag.
Why Complexity Kills Adoption
A part of the problem is that workers are sometimes requested to make use of AI instruments with out being proven find out how to use them correctly. Walcroft mentioned, “You’ve bought to write down a immediate,” however for many individuals, that’s not intuitive. That may be a severe difficulty in efficiency administration, the place customers are sometimes not energy customers and is probably not assured with the underlying course of to start with.
His level was that AI ought to cut back the burden on customers, not shift it onto them. The very best techniques, in his view, work nearly invisibly within the background. “AI is a good label for impressing individuals,” he mentioned, however the higher method is to make it really feel easy, with “a button they press that does the work behind the scenes.”
That is a crucial distinction for HR know-how consumers. Staff are unlikely to embrace AI as a result of it’s novel. They are going to embrace it if it helps them full duties quicker, with much less effort and extra confidence.
Walcroft additionally highlighted the place AI can add sensible worth: supporting people who find themselves exterior their typical consolation zone, akin to writing a efficiency overview in a second language or summarizing a big quantity of suggestions.
What Betterworks Believes AI Ought to Do
For Betterworks, the reply is to not use AI as a standalone characteristic however as a copilot embedded throughout the efficiency course of. Walcroft mentioned the corporate sees AI as one thing that helps refine work already began by the consumer, slightly than changing human enter altogether.
That philosophy exhibits up within the examples he gave. AI might help workers draft higher targets by pulling collectively context akin to job descriptions, enterprise technique, prior suggestions, and accomplished targets. It may assist managers summarize dozens of suggestions factors into one thing usable. It may additionally assist people who find themselves not consultants in efficiency writing by providing construction and readability after they want it most.
That is the place the distinction between novelty and utility turns into clear. AI-powered efficiency device doesn’t merely generate textual content. It helps align work with technique, provides individuals a stronger place to begin, and saves managers from being overwhelmed by info.
That additionally explains why Walcroft pressured change administration so strongly. Betterworks reportedly treats implementation as 20% know-how and 80% change administration. That displays a actuality many distributors overlook: even the perfect software program fails if the group is just not ready to make use of it in a different way.
In that mannequin, the supervisor’s function adjustments. Reasonably than carrying the complete administrative burden of the overview, the supervisor turns into extra of a validator and information. The heavy lifting occurs over time, making the end-of-year overview a lighter, extra correct checkpoint slightly than a once-a-year train.
That’s the place efficiency administration seems to be heading over the following few years: much less episodic, extra steady, and extra embedded within the movement of labor. However the important thing lesson from Walcroft’s feedback is that know-how alone is not going to get organizations there.
AI can rework efficiency administration, however solely whether it is designed to scale back complexity slightly than repackage it. That’s the actual story right here.
