Oct 28, 2026 earnings call — AI monetization and Control Tower momentum
ServiceNow raised its AI ACV target to $1.7 billion and reported Q3 subscription revenue of $3.988 billion.
Revenue $4.1B (est $4.1B) · EPS $1.00 (est $1.02) · Next-quarter revenue outlook $4.2B–$4.3B
Key quotes
"Our SICT, Super Intelligence Control Tower, brings together the right model for the right workload to solve the right problem and unlock the right opportunity for our customers."
"For many quarters now, we've been aggressively building the consumption engine into the business model."
"Control Tower really resonated very well when we introduced it last year because we are kind of putting this in front of the AI deployments."
Analyst Q&A 10
Outcome / value-based pricing
Q (Brad Zelnick · Deutsche Bank): Analyst asked if customers are requesting outcome or value-based pricing and how that would affect the financial model.
A: Management said customers prefer the predictable seat-based model while ServiceNow is also driving consumption. They highlighted getting customers live fast so token economics can increase revenue per user, and noted Flow and the Super Intelligence Control Tower are driving AI action and consumption.
"And once they're live, the token economics take off, whereby we have a chance to improve our revenue per user by a factor of 5x." — William McDermott (CEO·CHAIR)
cRPO vs subscription growth
Q (Aleksandr Zukin · Wolfe): Analyst wanted context on Q4 guide nuances: why cRPO and subscription revenue moves differ and confidence in future growth.
A: Management said they remain confident in growth and explained accounting reasons for guide choices. They said some deployment services were booked as professional services now but will return to subscription on renewal, and that cRPO can miss some subscription backlog due to provisions.
"Notably, upon renewal of those contracts, the value of those services return to subscription revenue." — Gina Mastantuono (CFO)
When AI boosts topline
Q (Sanjit Singh · Morgan Stanley): Analyst asked when AI momentum will translate to top-line and cRPO acceleration and whether go-to-market is ready.
A: Management said the business is in great shape and the Super Intelligence Control Tower plus partners create a strong network effect. They emphasized fast customer live times to activate token economics and said the strategy is working with strong month-over-month and consumption improvements, expecting clearer acceleration in 2027.
"So I want you to please register that as a significant momentum advantage that we are experiencing." — William McDermott (CEO·CHAIR)
Early results from deployment teams
Q (Samik Chatterjee · JPMorgan): Analyst asked for early data showing the impact of investing delivery teams to accelerate AI adoption and which metrics they track.
A: Management said customers who received deployment support saw much faster AI adoption and higher assist consumption and product usage. They track assist consumption and product usage, which unlock larger monetization and justify building more deployment teams into the forecast.
"customers receiving the support saw AI adoption progress twice as fast during just the first five weeks of that support with multiples higher of assist consumption and product usage versus those without support." — Gina Mastantuono (CFO)
Productivity and headcount changes
Q (Peter Weed · Bernstein): Analyst asked how internal AI-driven productivity gains affect headcount, especially in front office, product, and sales and marketing.
A: Management said they crossed $1 billion in efficiency gains using their own products, letting them reduce some roles while hiring in key areas. They said quota-bearing sales heads are up double digits while sales operations and some support roles are down.
"quota-bearing heads are up double digits, while sales operations, for example, is down significantly." — Gina Mastantuono (CFO)
Customer spend after AI adoption
Q (Arjun Bhatia · William Blair): Analyst asked whether AI is cannibalistic or accretive and how customer overall spend changes after adopting AI capabilities.
A: Management said customers typically start with one or two use cases and, after going live, usage can grow 3x–4x and new use cases emerge. They gave examples of rapid global rollouts and said renewals often include higher tokens as adoption rises.
"Many of the customers typically start with one or two use cases where we help them or they decide like incident management or triaging or resolution planning." — Amit Zavery (COO)
Modeling delivery services impact
Q (Samad Samana · Jefferies): Analyst asked when the decision to provide deployment resources was made, how broadly it will be offered, and how to model its revenue recognition and margin impact.
A: Management said they doubled down after seeing faster adoption with support, offering these services to select large deals and quantifying a 25 bps impact in Q3 and 50 bps in Q4. They do not expect this delivery expertise to be long term and said deployments become more autonomous over time.
"these services are being, as you say, provided for a select number of large deals, and we talked about it's in the number, 25 bps in Q3 and 50 bps in Q4." — Gina Mastantuono (CFO)
Control Tower timing and role
Q (S. Kirk Materne · Evercore): Analyst asked whether customers build an orchestration layer now or wait for more production deployments and how Control Tower fits the timeline.
A: Management said Control Tower provides governance, trust and safety up front and customers adopt it before production to get visibility and control over agents and shadow projects. They said it combines discovery with existing SecOps tools to monitor, manage cost, and remediate, unlocking value as customers scale AI.
"So Control Tower really resonated very well when we introduced it last year because we are kind of putting this in front of the AI deployments." — Amit Zavery (COO)
IT budget tone and positioning
Q (Michael Turrin · Wells Fargo): Analyst asked about the tone of IT budget discussions, where ServiceNow fits, and how that shapes company focus into year-end and 2027.
A: Management said ServiceNow is strategically relevant and pipelines are growing, with several acquisitions and products ahead of expectations. They said point solutions will be eliminated and strategic platforms that deliver ROI now will do very well in this era of super intelligence.
"What I see is solutions that don't matter or point solutions, they will get eliminated while strategically relevant platforms will not only do well, they'll do a lot better, especially if they're relevant in this era of super intelligence." — William McDermott (CEO·CHAIR)
Action Fabric and monetization
Q (Matthew Calitri · Needham): Analyst asked about monetization differences between EmployeeWorks and external agent interfaces like ChatGPT and implications after the OpenAI announcement.
A: Management said they give customers choice and that Action Fabric lets other interfaces call ServiceNow while work still runs inside ServiceNow, consuming assists that are monetized. They said EmployeeWorks offers richer reasoning, orchestration and specialized agents, but opening other front doors increases monetization opportunities.
"we get full value for it from the monetization perspective because you're burning down assist for every work you'd ask ServiceNow to do." — Amit Zavery (COO)