Skip to main content

Genesys Announces $1.5 Billion Investment by Salesforce and ServiceNow

Genesys announced $1.5 billion in new investment commitments from Salesforce and ServiceNow, with each company agreeing to invest an equal amount.

This milestone reinforces the strength of Genesys as the strategic customer experience (CX) orchestration platform for all enterprises and deepens its global partnerships with both Salesforce and ServiceNow. Proceeds from the investment will be used to repurchase shares from the company’s existing equity holders. Hellman & Friedman and Permira remain the company’s majority equity owners.

The Genesys Cloud™ platform has continued to see accelerated growth as organizations look to transform their CX strategies with AI. 

“Genesys is delivering long-term value to enterprises through end-to-end customer experience orchestration that can drive loyalty, grow revenue and reduce operating costs,” said Tony Bates, chairman and CEO of Genesys. “We’re proud to have the support of industry leaders like Salesforce and ServiceNow, and we believe this reflects growing momentum around agentic AI and the importance of connected, autonomous customer experiences.”

“This investment deepens our partnership with Genesys to deliver AI-assisted and agentic AI-powered customer experiences across every channel, from voice to digital,” said David Schmaier, president and chief strategy officer, Salesforce. “As leaders in our respective markets, we’re excited to further integrate our products and help redefine what’s possible in this new AI era, supporting our joint customers as they transform their contact centers and customer experiences.”

“Our investment in Genesys accelerates our vision for the agentic enterprise, where the ServiceNow AI Platform intelligently orchestrates end-to-end customer experiences,” said Amit Zavery, president, chief product officer, and chief operating officer at ServiceNow. “Together, ServiceNow and Genesys are enabling businesses to deploy AI-based customer journeys that anticipate needs, personalize at scale and deliver measurable outcomes.”

Genesys Cloud, the AI-Powered Experience Orchestration platform, enables companies to increase customer loyalty and employee productivity, drive revenue growth and reduce operating costs. Offering essential agentic, conversational, generative and predictive AI capabilities, Genesys Cloud helps organizations differentiate with smarter, more autonomous CX strategies that deliver efficient, effective and emotionally intelligent experiences.

Both Salesforce and ServiceNow have global partnerships with Genesys that help organizations around the world orchestrate end-to-end customer journeys. This expanded investment builds on:

  • CX Cloud from Genesys and Salesforce: a unified AI-powered customer experience and relationship management solution that integrates Genesys Cloud and Salesforce Service Cloud. The solution helps customers spanning global enterprises to midsize businesses to unify their data, agents and communication channels for smarter end-to-end customer and employee experiences.
  • Unified Experience from Genesys and ServiceNow: an integrated solution that combines Genesys Cloud and the ServiceNow Customer Service Management (CSM) workflow. The turnkey, AI-powered solution unifies customer service teams through a single desktop, centralizes routing across departments and channels, and optimizes workforce engagement for more personalized customer experiences and simplified employee experiences.

The investment is expected to close by the end of the Genesys fiscal year 2026, subject to satisfaction of customary closing conditions.

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

Genesys Announces $1.5 Billion Investment by Salesforce and ServiceNow

Genesys announced $1.5 billion in new investment commitments from Salesforce and ServiceNow, with each company agreeing to invest an equal amount.

This milestone reinforces the strength of Genesys as the strategic customer experience (CX) orchestration platform for all enterprises and deepens its global partnerships with both Salesforce and ServiceNow. Proceeds from the investment will be used to repurchase shares from the company’s existing equity holders. Hellman & Friedman and Permira remain the company’s majority equity owners.

The Genesys Cloud™ platform has continued to see accelerated growth as organizations look to transform their CX strategies with AI. 

“Genesys is delivering long-term value to enterprises through end-to-end customer experience orchestration that can drive loyalty, grow revenue and reduce operating costs,” said Tony Bates, chairman and CEO of Genesys. “We’re proud to have the support of industry leaders like Salesforce and ServiceNow, and we believe this reflects growing momentum around agentic AI and the importance of connected, autonomous customer experiences.”

“This investment deepens our partnership with Genesys to deliver AI-assisted and agentic AI-powered customer experiences across every channel, from voice to digital,” said David Schmaier, president and chief strategy officer, Salesforce. “As leaders in our respective markets, we’re excited to further integrate our products and help redefine what’s possible in this new AI era, supporting our joint customers as they transform their contact centers and customer experiences.”

“Our investment in Genesys accelerates our vision for the agentic enterprise, where the ServiceNow AI Platform intelligently orchestrates end-to-end customer experiences,” said Amit Zavery, president, chief product officer, and chief operating officer at ServiceNow. “Together, ServiceNow and Genesys are enabling businesses to deploy AI-based customer journeys that anticipate needs, personalize at scale and deliver measurable outcomes.”

Genesys Cloud, the AI-Powered Experience Orchestration platform, enables companies to increase customer loyalty and employee productivity, drive revenue growth and reduce operating costs. Offering essential agentic, conversational, generative and predictive AI capabilities, Genesys Cloud helps organizations differentiate with smarter, more autonomous CX strategies that deliver efficient, effective and emotionally intelligent experiences.

Both Salesforce and ServiceNow have global partnerships with Genesys that help organizations around the world orchestrate end-to-end customer journeys. This expanded investment builds on:

  • CX Cloud from Genesys and Salesforce: a unified AI-powered customer experience and relationship management solution that integrates Genesys Cloud and Salesforce Service Cloud. The solution helps customers spanning global enterprises to midsize businesses to unify their data, agents and communication channels for smarter end-to-end customer and employee experiences.
  • Unified Experience from Genesys and ServiceNow: an integrated solution that combines Genesys Cloud and the ServiceNow Customer Service Management (CSM) workflow. The turnkey, AI-powered solution unifies customer service teams through a single desktop, centralizes routing across departments and channels, and optimizes workforce engagement for more personalized customer experiences and simplified employee experiences.

The investment is expected to close by the end of the Genesys fiscal year 2026, subject to satisfaction of customary closing conditions.

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...