For the previous 4 years, enterprise software program conferences have been outlined by a sort of aggressive breathlessness: which firm might announce the most AI brokers, the boldest automation claims, the most mind-bending demos.
At ServiceNow’s Information 2026, the firm’s two high customer-facing executives are having very totally different conversations. The period of AI function wars is ending, they instructed Fortune from the sidelines of the convention. What’s beginning is one thing far much less glamorous, and way more essential.
The ‘SaaSpocalypse’ that wasn’t
The backdrop is an anxious one. Over the previous 18 months, a wave of hypothesis has gripped the enterprise software program trade: if AI brokers can automate workflows end-to-end, do corporations nonetheless want the sprawling SaaS platforms they’ve spent years and billions of {dollars} constructing out? The query, dubbed the “SaaSpocalypse” for the carnage it wreaked on software program shares earlier than correcting, has rattled traders and despatched valuations throughout the sector swinging — together with ServiceNow’s, whose market cap hovers round $96 billion.
Paul Fipps, the firm’s president of world buyer operations and a former CIO himself, pushed again on the narrative. “The concern is that one way or the other a startup will use a massive language mannequin, put a light-weight wrapper round it, and ServiceNow will sit on its palms for the subsequent 10 years … and ServiceNow will sit on its palms for the subsequent 10 years and look ahead to that firm to catch up, after which we’ll exit of enterprise,” he stated. “It just is mindless.”
The proof is that clients agree: 25,000 of them confirmed up this week, the largest crowd in the convention’s historical past. “They’re not exhibiting up as a result of they don’t consider in ServiceNow,” Fipps stated.
Amit Zavery, the firm’s president, COO, and chief product officer, echoed the sentiment bluntly in a hearth chat on Wednesday: “The period of sidecar AI is over. Prospects don’t need to cobble items collectively — they need outcomes.”
The governance disaster hiding in plain sight
What ServiceNow’s executives are literally anxious about isn’t aggressive disruption. It’s one thing that has been quietly constructing throughout enterprise America: a governance disaster born of the proliferation of ungoverned AI.
Fipps opened a standing-room-only buyer panel Tuesday morning with two tales that landed like warnings. Three weeks in the past, he stated, he was in India assembly with the CTO of a massive monetary companies firm who instructed him he had constructed 30 production-grade AI brokers for the financial institution — after which couldn’t put any of them into manufacturing, as a result of he couldn’t reply primary questions on what they’d entry to or whether or not they have been performing as meant. “In a regulated trade, if you happen to can’t reply these questions, you’ll be able to’t go reside,” Fipps stated.
The second story was starker. A CIO of a massive healthcare and life sciences firm instructed Fipps he had 900 AI pilots working throughout his group. He canceled all of them — not as a result of they weren’t working, however as a result of he couldn’t govern them. “I’ve a pile of customized software program working round that no person owns,” the CIO instructed him.
Fipps delivered the line flatly, and the room — filled with Gartner and Constellation Analysis analysts — went quiet. “AI chaos,” Fipps stated, echoing a chorus all week from CEO Invoice McDermott. “At the very massive clients, they’re going to have hundreds of functions … if you happen to add AI to all these functions, you’ll be able to think about an ungoverned nightmare.”
Zavery stated he’s been listening to a rash of cautionary tales he’s been accumulating, citing the viral story of the startup referred to as Pocketbook OS, which had its total buyer database — reservations, backups, every thing — wiped in 9 seconds by an AI agent that, when requested why it did it, reportedly stated it knew it shouldn’t have. “These [stories] are fairly widespread,” he stated, “however I believe the advantage of enterprises, most of the CIOs and CISOs are extra considerate. They’re not believing this world that every thing ought to just be rewritten with AI from floor up.” Typically, Zavery added, ServiceNow solely finds out about issues by the time issues go improper, “and by that point it is perhaps too late.”
The context drawback
The core technical problem ServiceNow is attempting to unravel isn’t constructing smarter AI fashions. It’s giving these fashions the contextual guardrails they should perform reliably inside a enterprise.
Giant language fashions are inherently probabilistic — they don’t produce the identical reply each time. For shoppers, that’s tolerable. For a Fortune 500 firm working monetary reconciliation, it might be catastrophic. “In case your AI applied sciences provides you random issues each time, it doesn’t assist,” Zavery stated. “In case you get two totally different solutions on your monetary reconciliation you is perhaps doing, you’ll be able to’t publish your monetary report back to the Wall Avenue.”
ServiceNow’s reply is what it calls a “Context Engine” — a proprietary layer, constructed on high of the LLMs it companions with (Anthropic, Google’s Gemini, NVIDIA’s NIM), that attracts on the firm’s amassed trove of enterprise knowledge: 100 billion workflows run yearly throughout its platform, 7 trillion transactions per 12 months. That trove, Zavery argues, shouldn’t be replicable.
“That’s not out there in public open supply,” he stated. “It is offered solely in our platform.”
Guardrails, not just options
The centerpiece of Information 2026 is one thing the firm calls AI Management Tower — a governance layer constructed on high of its present CMDB asset administration infrastructure that lets enterprises uncover, monitor, and handle each AI agent working throughout their group. The metaphor each Zavery and Fipps saved returning to is air site visitors management.
“Think about if you happen to didn’t have air site visitors management and folks have been just flying round,” Zavery stated. “AI brokers will not be like people. AI software program may be very, very aggressive and really quick as a result of there’s no boundaries of their time or limits.”
Fipps described the business response as nearly visceral. “I ask clients: what number of brokers do you’ve got? The place are they in your group? What have they got entry to? Are they performing the manner you envisioned?” he stated. Most occasions, that dialog goes proper to a must see and interact with the AI Management Tower. He referred to as buyer uptake one in all the largest surprises of the week: “Pleasantly stunned” by how briskly clients are participating and desirous to contract for it.
The true-world validation got here from the buyer panel. Melinda McKinley, COO of Technique and Expertise at Commonplace Chartered Financial institution, described scaling an AI assistant from a 50,000-person pilot in Hong Kong to 85,000 colleagues globally — with case deflection charges climbing from 77% to 90%, triple the trade baseline. “AI is barely nearly as good as the knowledge behind it,” she stated. “It’s important to be intentional about conserving that information base reside, present, and trusted.”
Oliver de Wilde, head of ServiceNow’s Centre of Excellence at Hitachi Vitality, described a 10-fold spike in worker self-service utilization the week AI went reside throughout 70,000 staff — and a 25% discount in calls to the IT service desk. The service desk supervisor referred to as him that week in shock at the consequence and requested “what’s occurring?” he stated. “They knew it was coming — however they couldn’t consider the discount they have been truly seeing.” These saved hours, he added, turned arduous negotiating leverage in renegotiations with service suppliers. “When you should utilize it to renegotiate a contract, the financial savings grow to be very tangible.”
The arduous elevate forward
Pressed on the place we’re in the AI buildout — an trade parlor sport that has consultants arguing over whether or not we’re in the second inning or the fifth — Zavery declined to decide to a quantity however stated it might be any of the first three. “It’s positively nowhere in the center,” he stated. “I believe it’s nonetheless very early days.” The expertise stays probabilistic and never all the time backward suitable. The societal and regulatory frameworks are nonetheless forming. The price constructions haven’t normalized.
Fipps framed the subsequent phase by way of his family historical past. His father was a turbine mechanic who spent his profession being lowered onto high-voltage strains to repair large turbines. “I believe the future infrastructure buildout — for our nation, however principally globally — goes to be a renaissance round innovation and alternative and GDP development,” he stated. “At the energy core, the infrastructure core, it’s going to be a lot enjoyable. As a result of we’re going to do it in such a totally different manner.”
For ServiceNow, which means the grinding, invisible work: safety, compliance, backward compatibility, governance throughout regulatory regimes that differ by nation, trade, and company. “Enterprise software program was by no means attractive,” Zavery instructed Fortune, citing his three a long time of working in the house and what a distinction the latest AI growth has been. “The period of time individuals constructing software program on this house spend — not just constructing options, however making it secured, compliant, assured efficiency … all these issues are by no means attractive jobs. They’re very heavy, painful, entering into the nitty-gritty, ensuring you’re fixing the troublesome issues. And when the person is utilizing it, they might by no means see any of these items. It’s all the work you need to do beneath the covers.”
For a $96 billion firm whose total worth proposition is being the infrastructure layer that enterprises belief most, it’s not a drawback that this work is unsexy. It’s the pitch.
For this story, Fortune journalists used generative AI as a analysis instrument. An editor verified the accuracy of the info earlier than publishing. ServiceNow is a Fortune accomplice and offered analysis supplies for this interview, together with interviews from the sidelines of Information 2026.
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