May 8, 2026 · 25m · big-technology

Software's Path Forward In The Agentic AI Era — With ServiceNow's Amit Zavery

Amit Zavery · 17m spoken Alex Kantrowitz · 5m spoken
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Recorded at ServiceNow's Knowledge conference, ServiceNow President and COO Amit Zavery sits down with Alex Kantrowitz to examine how enterprise software platforms are evolving in the agentic AI era. Zavery debunks the 'SaaSpocalypse' narrative, outlining why mission-critical enterprise workflows demand deterministic governance, cross-system orchestration, and enterprise-grade security over unconstrained autonomous agents.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Alex holds 21.6% of the talking time here. How this is scored →

Alex as informed peer 4.0 Guest teaching 3.3 Guest disagreement 2.0 Alex pushing back 2.7
05100:0010:0020:000:00–5:51 · Alex as informed peer 5/10 Introducing ServiceNow and the Future of Enterprise Software Alex introduces ServiceNow with detailed business metrics and directly raises the existential 'SaaS-pocalypse' threat. Amit defends the enterprise software moat, explaining the need to combine probabilistic AI with deterministic workflows.5:51–11:44 · Alex as informed peer 5/10 The Risks of Autonomous Agents and Value of Enterprise Scaffolding Alex directly plays devil's advocate, asking why ServiceNow is needed if desktop agents can directly take control of machines. Amit counters with the reality of hundreds of back-end enterprise systems and cites the Pocket OS database wipeout as a cautionary tale.11:44–16:01 · Alex as informed peer 6/10 Evaluating Build versus Buy in the Age of Exponential AI Alex presses whether exponential AI improvement toward AGI invalidates the traditional build versus buy calculus. Amit emphatically calls relying purely on DIY autonomous agents 'crazy,' detailing the massive hidden costs of regulatory compliance and prompt testing.16:01–22:10 · Alex as informed peer 4/10 East-to-West Orchestration and the AI Control Tower Alex explores competition among enterprise giants like Salesforce and Microsoft. Amit breaks down ServiceNow's role as a cross-platform 'system of action' orchestrating east-to-west workflows across disparate systems of record.22:10–25:00 · Alex as informed peer 3/10 Comparing AI to Past Shifts and Moving to Production Alex asks Amit to compare the current AI wave to past platform shifts like cloud and web. Amit highlights that the primary hurdle today is bridging the gap between impressive prototypes and dependable enterprise production.25:00–25:36 · Alex as informed peer 1/10 Wrapping Up Episode One and Previewing the Series Alex closes the episode with brief housekeeping notes and a preview of the upcoming series conversations.0:00–5:51 · Guest teaching 3/10 Introducing ServiceNow and the Future of Enterprise Software Alex introduces ServiceNow with detailed business metrics and directly raises the existential 'SaaS-pocalypse' threat. Amit defends the enterprise software moat, explaining the need to combine probabilistic AI with deterministic workflows.5:51–11:44 · Guest teaching 5/10 The Risks of Autonomous Agents and Value of Enterprise Scaffolding Alex directly plays devil's advocate, asking why ServiceNow is needed if desktop agents can directly take control of machines. Amit counters with the reality of hundreds of back-end enterprise systems and cites the Pocket OS database wipeout as a cautionary tale.11:44–16:01 · Guest teaching 5/10 Evaluating Build versus Buy in the Age of Exponential AI Alex presses whether exponential AI improvement toward AGI invalidates the traditional build versus buy calculus. Amit emphatically calls relying purely on DIY autonomous agents 'crazy,' detailing the massive hidden costs of regulatory compliance and prompt testing.16:01–22:10 · Guest teaching 4/10 East-to-West Orchestration and the AI Control Tower Alex explores competition among enterprise giants like Salesforce and Microsoft. Amit breaks down ServiceNow's role as a cross-platform 'system of action' orchestrating east-to-west workflows across disparate systems of record.22:10–25:00 · Guest teaching 3/10 Comparing AI to Past Shifts and Moving to Production Alex asks Amit to compare the current AI wave to past platform shifts like cloud and web. Amit highlights that the primary hurdle today is bridging the gap between impressive prototypes and dependable enterprise production.25:00–25:36 · Guest teaching 0/10 Wrapping Up Episode One and Previewing the Series Alex closes the episode with brief housekeeping notes and a preview of the upcoming series conversations.0:00–5:51 · Guest disagreement 2/10 Introducing ServiceNow and the Future of Enterprise Software Alex introduces ServiceNow with detailed business metrics and directly raises the existential 'SaaS-pocalypse' threat. Amit defends the enterprise software moat, explaining the need to combine probabilistic AI with deterministic workflows.5:51–11:44 · Guest disagreement 4/10 The Risks of Autonomous Agents and Value of Enterprise Scaffolding Alex directly plays devil's advocate, asking why ServiceNow is needed if desktop agents can directly take control of machines. Amit counters with the reality of hundreds of back-end enterprise systems and cites the Pocket OS database wipeout as a cautionary tale.11:44–16:01 · Guest disagreement 4/10 Evaluating Build versus Buy in the Age of Exponential AI Alex presses whether exponential AI improvement toward AGI invalidates the traditional build versus buy calculus. Amit emphatically calls relying purely on DIY autonomous agents 'crazy,' detailing the massive hidden costs of regulatory compliance and prompt testing.16:01–22:10 · Guest disagreement 1/10 East-to-West Orchestration and the AI Control Tower Alex explores competition among enterprise giants like Salesforce and Microsoft. Amit breaks down ServiceNow's role as a cross-platform 'system of action' orchestrating east-to-west workflows across disparate systems of record.22:10–25:00 · Guest disagreement 1/10 Comparing AI to Past Shifts and Moving to Production Alex asks Amit to compare the current AI wave to past platform shifts like cloud and web. Amit highlights that the primary hurdle today is bridging the gap between impressive prototypes and dependable enterprise production.25:00–25:36 · Guest disagreement 0/10 Wrapping Up Episode One and Previewing the Series Alex closes the episode with brief housekeeping notes and a preview of the upcoming series conversations.0:00–5:51 · Alex pushing back 3/10 Introducing ServiceNow and the Future of Enterprise Software Alex introduces ServiceNow with detailed business metrics and directly raises the existential 'SaaS-pocalypse' threat. Amit defends the enterprise software moat, explaining the need to combine probabilistic AI with deterministic workflows.5:51–11:44 · Alex pushing back 5/10 The Risks of Autonomous Agents and Value of Enterprise Scaffolding Alex directly plays devil's advocate, asking why ServiceNow is needed if desktop agents can directly take control of machines. Amit counters with the reality of hundreds of back-end enterprise systems and cites the Pocket OS database wipeout as a cautionary tale.11:44–16:01 · Alex pushing back 5/10 Evaluating Build versus Buy in the Age of Exponential AI Alex presses whether exponential AI improvement toward AGI invalidates the traditional build versus buy calculus. Amit emphatically calls relying purely on DIY autonomous agents 'crazy,' detailing the massive hidden costs of regulatory compliance and prompt testing.16:01–22:10 · Alex pushing back 2/10 East-to-West Orchestration and the AI Control Tower Alex explores competition among enterprise giants like Salesforce and Microsoft. Amit breaks down ServiceNow's role as a cross-platform 'system of action' orchestrating east-to-west workflows across disparate systems of record.22:10–25:00 · Alex pushing back 1/10 Comparing AI to Past Shifts and Moving to Production Alex asks Amit to compare the current AI wave to past platform shifts like cloud and web. Amit highlights that the primary hurdle today is bridging the gap between impressive prototypes and dependable enterprise production.25:00–25:36 · Alex pushing back 0/10 Wrapping Up Episode One and Previewing the Series Alex closes the episode with brief housekeeping notes and a preview of the upcoming series conversations.

speaking balance: gold is Alex, purple is the guest (3 minute bins)

0:00 · Alex 67.1% · guest 32.9%0:00 · Alex 67.1% · guest 32.9%3:00 · Alex 9.1% · guest 90.9%3:00 · Alex 9.1% · guest 90.9%6:00 · Alex 15% · guest 85%6:00 · Alex 15% · guest 85%9:00 · Alex 9.4% · guest 90.6%9:00 · Alex 9.4% · guest 90.6%12:00 · Alex 21.3% · guest 78.7%12:00 · Alex 21.3% · guest 78.7%15:00 · Alex 15.9% · guest 84.1%15:00 · Alex 15.9% · guest 84.1%18:00 · Alex 14.8% · guest 85.2%18:00 · Alex 14.8% · guest 85.2%21:00 · Alex 11.5% · guest 88.5%21:00 · Alex 11.5% · guest 88.5%24:00 · Alex 37.8% · guest 62.2%24:00 · Alex 37.8% · guest 62.2%
Sharpest disagreement ▶ 13:15 Dismissing agent self-sufficiency as crazy

Amit bluntly agrees that people who think raw AI agents can handle enterprise software maintenance without vendor scaffolding are 'crazy' due to backward compatibility and testing failures.

Hardest push from Alex ▶ 5:43 Challenging the need for an IT service desk

Alex explicitly invites debate by asking why an enterprise would route requests through ServiceNow when an AI agent can take control of a computer and fix the issue directly.

Biggest teaching moment ▶ 8:12 The Pocket OS disaster illustration

Amit educates the host on the operational risks of ungoverned AI agents by detailing how a travel company had its production database wiped out in seconds when relying on raw coding agents.

Alex holds their own ▶ 11:44 Pressing the exponential intelligence counter-thesis

Alex articulates the argument of software skeptics, pointing out that exponential AI improvements toward AGI could fundamentally upend traditional enterprise software architecture.

the scores for every segment, with the reasoning behind each
ChapterTopicAlex as informed peerGuest teachingGuest disagreementAlex pushing backWhy
Introducing ServiceNow and the Future of Enterprise Software 5323 Alex introduces ServiceNow with detailed business metrics and directly raises the existential 'SaaS-pocalypse' threat. Amit defends the enterprise software moat, explaining the need to combine probabilistic AI with deterministic workflows.
The Risks of Autonomous Agents and Value of Enterprise Scaffolding 5545 Alex directly plays devil's advocate, asking why ServiceNow is needed if desktop agents can directly take control of machines. Amit counters with the reality of hundreds of back-end enterprise systems and cites the Pocket OS database wipeout as a cautionary tale.
Evaluating Build versus Buy in the Age of Exponential AI 6545 Alex presses whether exponential AI improvement toward AGI invalidates the traditional build versus buy calculus. Amit emphatically calls relying purely on DIY autonomous agents 'crazy,' detailing the massive hidden costs of regulatory compliance and prompt testing.
East-to-West Orchestration and the AI Control Tower 4412 Alex explores competition among enterprise giants like Salesforce and Microsoft. Amit breaks down ServiceNow's role as a cross-platform 'system of action' orchestrating east-to-west workflows across disparate systems of record.
Comparing AI to Past Shifts and Moving to Production 3311 Alex asks Amit to compare the current AI wave to past platform shifts like cloud and web. Amit highlights that the primary hurdle today is bridging the gap between impressive prototypes and dependable enterprise production.
Wrapping Up Episode One and Previewing the Series 1000 Alex closes the episode with brief housekeeping notes and a preview of the upcoming series conversations.

Statements from this episode (10)

Assertion Supported
Kantrowitz: ServiceNow has $90B+ market cap and 90% Fortune 500 penetration
“Market cap is ninety billion plus. 90% of Fortune 500 companies use ServiceNow. And you handle a hundred billion workflows.”
Alex Kantrowitz May 8, 2026 ▶ 1:36
Opinion
Zavery: AI will accelerate software vendors that integrate the technology
“People, I think, are misunderstanding that AI will take out all the software companies. I'm sure there's some software companies just like with any transformation happening in the technology will have a problem, right? Which happened during cloud, which happen…”
Amit Zavery May 8, 2026 ▶ 4:46
Assertion Supported
Zavery: ServiceNow is growing 20%+ with 35% free cash flow margins
“Our business is growing at 20 plus percent. Our free cash flow margins are at 35%. Our off margins are at 32%, and we have guided, every time, beaten, raised our guidance and consensus in the market.”
Amit Zavery May 8, 2026 ▶ 5:08
Assertion Supported
Zavery: Most enterprise companies operate over 300 backend systems
“Most of the enterprise companies have 300 plus systems.”
Amit Zavery May 8, 2026 ▶ 6:31
Assertion Supported
Zavery: AI agents wiped out travel agency Pocket OS's database in seconds
“Pocket OS, there's a large travel agency. What they had to, they were using cursor and they're using technologies with AI agents out there to go and maintain their code base. And the system basically wiped out the customer database and the production system in…”
Amit Zavery May 8, 2026 ▶ 8:13
Assertion Not checkable as stated
Zavery: In-house enterprise AI costs 5x to 10x more than ServiceNow
“We've done numbers calculations. The cost of building everything yourself with all this technology which is changing every five seconds is five X to 10 X. Of what you would buy from us.”
Amit Zavery May 8, 2026 ▶ 9:43
Assertion Not checkable as stated
Zavery: ServiceNow's AI replaces human level-1 support, resolving issues in 20 minutes
“This AI especially, so we have this idea of level one support engineer. It's completely AI driven, right? It can replace everything humans do. And we can close a case or resolve an issue in two, 20 minutes versus two hours. But that is guaranteeing you a resul…”
Amit Zavery May 8, 2026 ▶ 11:06
Disclosure
Zavery: Compliance accounts for 30% to 40% of ServiceNow's cost structure
“30%, 40% of my cost structure is compliance with different, different regulations.”
Amit Zavery May 8, 2026 ▶ 14:01
Prediction Not checkable as stated
Zavery: Enterprise AI will remain a multi-vendor ecosystem, not single-vendor
“With enterprise, again, I do believe there will be an ecosystem of providers. People are not going to say, I will only do one thing with one company, everything with one vendor, right?”
Amit Zavery May 8, 2026 ▶ 16:21
Insight
Zavery: AI is useless on its own without integration into workflows
“End of the day, it's by itself, it's useless. I think that's the problem I have with AI. It's a great technology, but if you don't bring it into the solution, you don't bring it into product, instead of just going to roll, just use that as a technology point t…”
Amit Zavery May 8, 2026 ▶ 23:36
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