Three enterprise giants, 48 hours, one admission: the AI model is no longer the product.

In this EdgeBytes, Mark Vigoroso decodes back-to-back announcements from SAP, Infor, and Workday through one stubborn number: 40% of large companies are now scaling AI agents, up from 27% a year ago, yet the share seeing any profit impact is stuck near 37%. More push, same speed, so where's the drag?

• SAP is replacing its own screens before a rival can, growing cloud ERP 25% while its stock trades at roughly half of Morningstar's fair value.
• Infor took the consumption meter off the wall.
• Workday found that demand for basic prompting skills has already dropped 25%.

In fifteen minutes you get a prognosis for each vendor and a playbook for CEOs, CFOs, and CIOs. The models are equal now; what your systems know, who answers for the outcome, and how little you drag along will decide who gets paid. Stream this vlog now and be sure to LIKE, SHARE and COMMENT!

Those things we swore we'd never do again after the cloud computing migration? Fact is, we are repeating some of those same missteps now in the agentic AI era.

In this episode of the Enterprise Edge® Podcast, Mark Vigoroso sits down with Sujata Joshi, Director of SolutionDelivery at Cisco, and Sridhar Balasubramanian, VP of Data and AI at CloudPaths, to name mistakes like lift-and-shift, reborn as AI agents bolted onto broken processes.

The stakes are real, with a Barclays survey showing 86% of CIOs plan to pull workloads back off the public cloud and Gartner predicting 40% of enterprises will cancel or demote autonomous agents by 2027. The two enterprise tech veterans in our studio lay out what to do instead:

• Pilot on your ugliest data, not your happy path.
• Stop driving a Ferrari through rush-hour traffic when plain automation will do.
• Keep agents out of requirements discovery until the tribal knowledge is written down.
• Replace the change advisory board (CAB), already dead at 50 changes an hour, with automated guardrails.

Our guests’ verdict: the bottleneck is no longer capability but governance, and the payoff is revenue, not just productivity. The one cloud-era move worth copying outright is a shared responsibility model put in writing before the incident, "so that when something burns, there is an artifact to point to instead of an argument."

Stream this practical episode now - before your next AI agent goes live - and be sure to LIKE, SHARE, and COMMENT!

Most AI stories end at the pilot. This one is unfolding on a P&L. On this special episode of The Enterprise Edge® podcast - produced in partnership with QAD | Redzone - Mark Vigoroso sits down with Kevin Davis, VP of Finance at AmSafe - the 500-person TransDigm company whose restraints are onvirtually every major airline on earth.

Davis applies a much-needed and well-timed evidentiary standard to enterprise AI. He explains the hard bar AmSafe set - no project advances unless it strips 40–60% of the transactional activity out of a process - then produces the receipts: sales order entry now absorbs the same volume with 20–30% fewer people, daily cash posting fell from 3-4 hours to under one, and not one agent has been given access to the bank account.

You'll hear exactly how he funded it with CapEx approved with committed savings attached, released in phases against fixed-firm bids, and how he walked internal and external auditors through agentic workflows before go-live under AS9100, FAA Part 145, and SOX. Davis also leaves us with the one thing he'd do differently, and it has nothing to do with technology!

Stream this episode now and be sure to LIKE, SHARE and COMMENT! And grab Kevin for a 1:1 deep dive at QAD's Champions of Manufacturing, Chicago, September 21–23!