July 23, 2025
In this Highline Beta podcast episode, Sidney Madison Prescott argues that most "agentic AI" is simply rebranded robotic process automation and that the biggest barrier to enterprise AI adoption is strategic rather than technical.
Sidney Madison Prescott identifies that most companies are deploying AI without clear business outcomes, creating chaos and shadow projects across organizations. She recommends starting AI initiatives in finance departments because the work is rules-based, document-heavy, and offers measurable ROI through processes that remain incredibly manual. Sidney Madison Prescott predicts that successful companies will build fully hybrid teams where humans work alongside named AI teammates, but warns that even a one-month delay in strategic AI planning could put companies drastically behind competitors.
According to Sidney Madison Prescott, "agentic AI" is essentially attended automation—an evolution of the bots and scripts enterprises have built for years, but with better marketing. The key difference is that these agents are more cognitive and can handle ambiguity, though the underlying mechanics of triggering workflows and passing tasks between humans and machines aren't fundamentally new. Companies that invested in automation over the past decade already have a foundation to build upon.
Sidney Madison Prescott describes a common pattern where senior leaders declare "we need to do AI" without clear reasoning, leading thousands of employees to experiment with tools that have no connection to business outcomes. This creates chaos, redundancy, and shadow projects with no way to measure success. The solution requires starting with real business needs, picking one specific outcome, defining clear KPIs, and then applying the right tool rather than deploying AI for its own sake.
Sidney Madison Prescott recommends starting with finance departments rather than the expected areas like marketing or sales. Finance offers the ideal conditions for proving AI value quickly because the work is rules-based and document-heavy, the ROI is measurable, the operational pain is real, and the processes remain incredibly manual. She suggests showing the CFO how to cut reporting time in half as a way to secure budget and buy-in for broader AI initiatives.
Sidney Madison Prescott predicts that companies will develop fully hybrid teams where humans work side by side with named AI teammates like "Andy" for weekly reporting prep and "Sally" for background legal risk scans. She emphasizes that AI won't replace people but will give them leverage, and the employees who learn to work with AI rather than against it will be the ones who succeed in this new structure.
We’ve talked to a lot of guests about AI. But this conversation with Sidney Madison Prescott clarified something we’ve been feeling for months:
Sidney has spent the last decade inside the enterprise leading automation, AI, and intelligent systems teams at Spotify, BNY Mellon, Fiserv, and E*TRADE. She’s been in the room for the evolution from robotic process automation to the rise of “agentic AI.” And she’s got the scar tissue to prove it.
Here’s what we took away from the conversation:
We started with Sidney’s hot take: most of what’s being called “agentic AI” today is really just attended automation, an evolution of the bots and scripts enterprises have been building for years.
The difference is that these agents are more cognitive. They can handle ambiguity. But the mechanics (triggering workflows, passing tasks between humans and machines) aren’t new.
If you’ve invested in automation over the past decade, you’ve already built a foundation. The real question is whether your company is ready to scale beyond it.
Every exec wants AI. But most can’t explain why.
Sidney described a common pattern: senior leaders declare “we need to do AI,” and suddenly thousands of employees are experimenting with tools that have no connection to business outcomes.
The result? Chaos. Redundancy. Shadow projects. And no way to measure success.
The solution is simple, but not easy: Start with real business needs. Pick one. Define the outcome. Then apply the right tool.
If you’re deploying AI without a clear KPI or operational target, you’re not innovating. You’re just burning resources.
We expected Sidney to say something like marketing, sales, or dev teams. Instead, she said finance.
Why?
This is where you can prove value fast. If you’re a Chief Innovation Officer struggling to get buy-in, show the CFO how to cut reporting time in half. Then ask for budget.
Sidney’s prediction: in the next few years, we’ll see fully hybrid teams (humans + agents) working side by side.
You won’t just get an AI assistant. You’ll get an AI teammate. “Andy,” the bot that preps your weekly reporting. “Sally,” the one who runs legal risk scans in the background.
But that’s not the scary part.
The scary part is that most leaders don’t know how to talk about it. They know change is coming, but they haven’t figured out how to bring their employees along.
According to Sidney, the answer is positioning: AI isn’t here to replace you. It’s here to give you leverage. And the people who know how to work with it (not against it) will win.
The technology is moving fast. But the companies who win won’t be the ones who adopt the most tools. They’ll be the ones who build the clearest systems.
That starts with visionary leadership. Not hype. Not headlines. Not panic. Vision.
As Sidney said, “Even a one-month delay could put you drastically behind.”
We’re grateful to Sidney for joining us and for saying what so many teams inside the enterprise already feel:
Until next time.
—Ben & Marcus
We always enjoy conversations about innovation and startup building so please get in touch.
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