This AI SRE buyer's guide covers the 6 criteria for evaluating AI SRE

Every so often, you come across an opportunity that makes you rethink where technology and the world are headed.
For me, Resolve AI was one of those moments.
Over the past decade, I’ve spent most of my time building and scaling companies at the intersection of technology and enterprise. I was a Partner at McKinsey in the Advanced Industries practice, where I led initiatives focused on complex transformations. Throughout that time, I moved in and out of startups. I’ve always been drawn to the challenge of building companies while solving meaningful problems for large organizations.
At heart, I’ve always been both an enterprise operator and entrepreneur. I enjoy the rigor and scale of enterprise systems, but I’m equally energized by the pace and creativity of building companies from the ground up.
About ten years ago, I first worked with Spiros (Resolve AI’s CEO and co-founder) at a tech-enabled marketplace called ezhome. We built and scaled that company together, and I had a front-row seat to how he thinks and operates as a founder. Spiros combines deep technical intuition with sharp business judgment, but what stands out most is his humility and clarity of thinking — qualities that are rare and easy to underestimate.
Over the holidays, we reconnected and started talking about what he and the team at Resolve AI were building.
What immediately stood out to me was the problem itself.
Every company today runs on increasingly complex software systems. As those systems become more distributed and interconnected, understanding what’s happening in production and resolving issues quickly becomes dramatically harder and more costly. Yet the way engineering teams investigate and troubleshoot incidents has barely changed.
Resolve is approaching this challenge with agentic AI: helping engineering teams understand and navigate production systems in ways that simply weren’t possible before.
AI is accelerating how quickly software gets written and shipped. But as systems grow more complex, the bottleneck increasingly shifts from building software to understanding and operating it. That gap is only going to widen.
Resolve is positioned directly at the center of that shift.
For me, the decision to join ultimately came down to three things: people, problem, and potential.
I had worked with Spiros before and knew the kind of leader he is. And as I spent time with the broader Resolve team, it became clear that the company had assembled an exceptional group of engineers, operators, and builders aligned to solve this problem. The challenge Resolve is tackling sits at the core of modern software systems. And the timing, with AI reshaping how software is built and operated, creates a rare window to redefine an entire category.
I’m joining Resolve as Head of Enterprise and Partnerships, where I’ll focus on working with our largest enterprise customers and building strategic partnerships to help bring this technology to organizations around the world.
Moments like this, where the right technology meets the right problem at the right time, don’t come around often.
Resolve AI is one of them.

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Brooke Daniels
Head of Enterprise and Partnerships
@ Resolve AI
Brooke is the Head of Enterprise & Partnerships at Resolve AI, scaling enterprise adoption and strategic partnerships. Previously, she was a Partner at McKinsey & Company, where she advised Fortune 500 and pre-IPO tech companies on go-to-market design, pricing, and AI-enabled operating models, and co-led the Industrial Distribution Practice in North America.

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Resolve AI has launched with a $35M Seed round to automate software operations for engineers using agentic AI, reducing mean time to resolve incidents by 5x, and allowing engineers to focus on innovation by handling operational tasks autonomously.