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ServiceNow Unveils Now Platform Tokyo Release

ServiceNow announced the Now Platform Tokyo release, designed to help organizations navigate complex business challenges amid an uncertain macro environment.

The ServiceNow Tokyo release is purpose‑built to deliver better employee and customer experiences, supercharge automation and trust in operations, and accelerate value in ways that are good for people, good for the planet, and good for profits.

The new digital‑first, fully integrated workflow automation solutions in the Tokyo release increase the power of the Now Platform to create seamless experiences, continuously generate new value by accelerating innovation at scale, and allow people to do their best work.

“Our ServiceNow Tokyo platform release gives customers exactly what they need in this moment—new solutions that deliver immediate value, are easy to implement and use, and help them do more with less,” said CJ Desai, COO at ServiceNow. “Now is not the time to experiment. A platform for digital business is the only way to create great experiences, drive new business value, and accelerate transformation so organizations can focus on growth in our digital‑first world.”

With today's complex compliance and risk management landscape, customers have asked ServiceNow for solutions that make them more agile and resilient across their enterprise. ServiceNow is responding with new, purpose‑built features in the Tokyo release that unlock more value from tech investments for CFOs, COOs, and sustainability teams—simplifying complex supply chains, automating asset management, and delivering auditable, investor‑grade sustainability data.

- Enterprise Asset Management (EAM) automates the full lifecycle of physical business assets from planning to retirement for industries such as healthcare, financial services, retail, manufacturing, and public sector. The solution helps reduce costs, mitigate risks, and improve strategic planning with visibility into the entire enterprise asset estate. Additionally, it optimizes inventory levels for the business and operates stockrooms efficiently to better leverage existing assets and maximize asset life.

- Supplier Lifecycle Management (SLM) empowers organizations to transform traditionally high‑effort supplier engagements that live in email and spreadsheets into modern, digital experiences, enabling teams to reduce operating costs and refocus talent on building a more resilient, diverse, and high‑quality supply base. With SLM, suppliers leverage self‑service experiences to get help, deflecting common inquiries into the respective teams.

- Environmental, Social, and Governance (ESG) Management has been enhanced to allow companies to establish and document ESG goals and KPIs, track performance, collect and validate audit‑ready data, and create disclosures that align with major ESG reporting frameworks, in a single end‑to‑end solution. Key capabilities include carbon accounting to calculate greenhouse gas (GHG) emissions, and an innovative user experience that helps companies efficiently meet increasing requests for ESG data. ServiceNow is collaborating with DXC Technology, Emissionsbox, Fujitsu, KPMG, LTI, Mindtree, NTT DATA Corporation and RSM US LLP, to extend ESG Management’s reach and capabilities into the market.

Now more than ever, employee retention is critical. Engaged, productive, and empowered employees contribute heavily to customer and business success. The Tokyo release helps organizations prioritize their most valuable resource—people—with new tools that advance talent development and retention, and therefore benefit the overall business:

- Manager Hub addresses managers’ greatest pain points—like burnout and intensifying pressure to keep employees happy and engaged across dispersed teams. Available through Employee Center desktop and mobile, Manager Hub provides a single destination for managers to establish and review employee journeys and respond to requests while delivering personalized resources and training to help managers grow as leaders.

- Admin Center—part of ServiceNow Impact—allows system administrators to easily discover, install, and configure ServiceNow solutions through a self‑service experience. The new Adoption Blueprint features a guided process that gives admins application recommendations based on instance maturity, increased visibility into application entitlements, and simpler application installation and configuration—all from within their in‑instance application.

- Issue Auto Resolution for Human Resources expands the capabilities of Issue Auto Resolution for ITSM to HR teams. The solution applies natural language understanding (NLU) to analyze requests and deliver self‑service content that meets employees where they are through channels like Microsoft Teams, SMS, and email. It also identifies urgent HR cases and routes them directly to an employee care representative when a higher level of support is needed.

Protecting data and mission‑critical applications has become more complex amid an increasingly sophisticated threat landscape. ServiceNow is raising the bar for data security and intelligence with new capabilities that strengthen security deployments across an entire organization.

- ServiceNow Vault protects business critical ServiceNow applications using a set of premium platform privacy and security controls. Using flexible key management and data classification to drive data anonymization, Vault enables organizations to protect sensitive confidential data and increase regulatory compliance through native platform encryption. Vault also enables organizations to strengthen their platform security posture by simplifying the management and protection of machine credentials, as well as validating the authenticity and integrity of code being deployed to the MID Server helping to ensure no malicious insertion. Finally, Vault facilitates organizations to export their ServiceNow system and application logs at scale and in near real time as a service.

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

ServiceNow Unveils Now Platform Tokyo Release

ServiceNow announced the Now Platform Tokyo release, designed to help organizations navigate complex business challenges amid an uncertain macro environment.

The ServiceNow Tokyo release is purpose‑built to deliver better employee and customer experiences, supercharge automation and trust in operations, and accelerate value in ways that are good for people, good for the planet, and good for profits.

The new digital‑first, fully integrated workflow automation solutions in the Tokyo release increase the power of the Now Platform to create seamless experiences, continuously generate new value by accelerating innovation at scale, and allow people to do their best work.

“Our ServiceNow Tokyo platform release gives customers exactly what they need in this moment—new solutions that deliver immediate value, are easy to implement and use, and help them do more with less,” said CJ Desai, COO at ServiceNow. “Now is not the time to experiment. A platform for digital business is the only way to create great experiences, drive new business value, and accelerate transformation so organizations can focus on growth in our digital‑first world.”

With today's complex compliance and risk management landscape, customers have asked ServiceNow for solutions that make them more agile and resilient across their enterprise. ServiceNow is responding with new, purpose‑built features in the Tokyo release that unlock more value from tech investments for CFOs, COOs, and sustainability teams—simplifying complex supply chains, automating asset management, and delivering auditable, investor‑grade sustainability data.

- Enterprise Asset Management (EAM) automates the full lifecycle of physical business assets from planning to retirement for industries such as healthcare, financial services, retail, manufacturing, and public sector. The solution helps reduce costs, mitigate risks, and improve strategic planning with visibility into the entire enterprise asset estate. Additionally, it optimizes inventory levels for the business and operates stockrooms efficiently to better leverage existing assets and maximize asset life.

- Supplier Lifecycle Management (SLM) empowers organizations to transform traditionally high‑effort supplier engagements that live in email and spreadsheets into modern, digital experiences, enabling teams to reduce operating costs and refocus talent on building a more resilient, diverse, and high‑quality supply base. With SLM, suppliers leverage self‑service experiences to get help, deflecting common inquiries into the respective teams.

- Environmental, Social, and Governance (ESG) Management has been enhanced to allow companies to establish and document ESG goals and KPIs, track performance, collect and validate audit‑ready data, and create disclosures that align with major ESG reporting frameworks, in a single end‑to‑end solution. Key capabilities include carbon accounting to calculate greenhouse gas (GHG) emissions, and an innovative user experience that helps companies efficiently meet increasing requests for ESG data. ServiceNow is collaborating with DXC Technology, Emissionsbox, Fujitsu, KPMG, LTI, Mindtree, NTT DATA Corporation and RSM US LLP, to extend ESG Management’s reach and capabilities into the market.

Now more than ever, employee retention is critical. Engaged, productive, and empowered employees contribute heavily to customer and business success. The Tokyo release helps organizations prioritize their most valuable resource—people—with new tools that advance talent development and retention, and therefore benefit the overall business:

- Manager Hub addresses managers’ greatest pain points—like burnout and intensifying pressure to keep employees happy and engaged across dispersed teams. Available through Employee Center desktop and mobile, Manager Hub provides a single destination for managers to establish and review employee journeys and respond to requests while delivering personalized resources and training to help managers grow as leaders.

- Admin Center—part of ServiceNow Impact—allows system administrators to easily discover, install, and configure ServiceNow solutions through a self‑service experience. The new Adoption Blueprint features a guided process that gives admins application recommendations based on instance maturity, increased visibility into application entitlements, and simpler application installation and configuration—all from within their in‑instance application.

- Issue Auto Resolution for Human Resources expands the capabilities of Issue Auto Resolution for ITSM to HR teams. The solution applies natural language understanding (NLU) to analyze requests and deliver self‑service content that meets employees where they are through channels like Microsoft Teams, SMS, and email. It also identifies urgent HR cases and routes them directly to an employee care representative when a higher level of support is needed.

Protecting data and mission‑critical applications has become more complex amid an increasingly sophisticated threat landscape. ServiceNow is raising the bar for data security and intelligence with new capabilities that strengthen security deployments across an entire organization.

- ServiceNow Vault protects business critical ServiceNow applications using a set of premium platform privacy and security controls. Using flexible key management and data classification to drive data anonymization, Vault enables organizations to protect sensitive confidential data and increase regulatory compliance through native platform encryption. Vault also enables organizations to strengthen their platform security posture by simplifying the management and protection of machine credentials, as well as validating the authenticity and integrity of code being deployed to the MID Server helping to ensure no malicious insertion. Finally, Vault facilitates organizations to export their ServiceNow system and application logs at scale and in near real time as a service.

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...