Brian Thomas

or not.

Do we reduce that, those cycle days?

And if it's because of those agents, we're able to do that, then we can obviously see an ROI from your perspective.

But I really liked that, how you can move the humans into more critical level tasks and then keep the agents working on those things that maybe are repeatable and mundane.

So again, I appreciate that.

And Saurabh, Peakflow has introduced the 20X AI agent orchestrator, which promises to deliver 20X productivity gains by turning specialized AI agents into full-time equivalent FTEs for knowledge work.

Can you walk us through what 20X is and how it goes beyond traditional automation tools, especially with applications like AI SDR for sales, AI marketer agents for content creation, AI agents for back office workflows, et cetera?

That's amazing.

And thank you.

And I'll just highlight a few things.

Obviously, your 20X AI agent orchestrator is a self-improving AI agent that can address most tasks and be able to escalate or elevate complex decisions up to the human level.

I thought that was pretty cool.

The skills part, every time an agent finishes a new task, it documents and learns it and adds it to its knowledge base, which obviously sharpens its skills day by day.

I like that your model is agnostic or model agnostic, which is,

Again, another benefit there.

And the fact that agents can handle sales, marketing, finance, backend operations, all of this stuff is really transforming how businesses can be more efficient and productive and really scale.

So thank you.

And Saurabh, the last question I have for you, with the 20X agents acting as self-improving teammates that handle everything from prospecting and content workflows to invoice processing and reconciliation, how are these specialized agents fundamentally changing how enterprises scale their operations?

And what advice would you give leaders looking to deploy them to achieve that true 20X leap rather than just incremental gains?

Thank you.