“AI delivers internal productivity by default; revenue comes from iterating outputs, human-in-the-loop, until they match real buyer interactions.”
@MaxPGreenwald (CEO & Co-Founder, @warmlyai)
@KadySrinivasan (CMO, @FreshworksInc) on agentic marketing OS:
“Automate the basics, centralize context into an AI brain, then orchestrate agents into continuous execution loops.”
“If you would not trust a human to have carte blanche access to something, you should not trust an AI.”
– Pat Casey (CTO & EVP of DevOps, @ServiceNow)
“5x output per seller, AI handles the transactional, and only high-leverage reps remain.”
@saheelaggarwal (Co-Founder & CEO, @goRattle) at the Agentic OS Summit with @smarrs88 (CSO, Sandler)
🏰 Harry Castle (AI Transformation Architect, @Miro):
"A beautifully built AI agent got shut down in a security review.
No one could answer a basic question about what data it touched, what decisions it made, or what happened when it failed."
Enterprises see the ROI on AI agents — so why are so many still holding back?
It comes down to trust. I joined Mark Organ at the @hardskillx Agentic AI Summit to dig into the AI trust gap — from legitimate enterprise fears around compliance and IP leakage, to what verified data and transparent benchmarks can do to close it.
Agentic AI is a paradigm shift, not a SaaS evolution, and the companies that build the credibility layer now will define what B2B commerce looks like in 2030.
Trusted data, third-party proof, transparent benchmarks — that's what @G2dotcom is built to provide.
“Your brain has to pivot from treating software like software to treating software like a human.”
@conorgrennan (Chief AI Architect, NYU Stern, NY Times and #1 Int’l bestselling author, CEO, AI Mindset)
Full recording: https://t.co/6qdnVt9zHY