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Sprinklr Works to Unlock the True Promise of AI with Digital Twins

Digital Twins aspire to radically increase enterprises’ capacity to get work done and provide exceptional customer experiences

  • Sprinklr Digital Twins are the AI version of your brand, your teams, and your employees
  • Sprinklr Digital Twins have access to the same systems and curated information with proprietary guardrails to complete tasks like employees
  • Sprinklr Digital Twin technology helps unlock the power, potential, and promise of AI and is designed with privacy and governance for enterprises in mind

Sprinklr (NYSE: CXM), the unified customer experience management (Unified-CXM) platform for modern enterprises, today announced the launch of Sprinklr Digital Twin – a new AI technology that goes far beyond traditional conversational AI chat bots. Sprinklr Digital Twin, powered by Sprinklr AI+, is designed to enable companies to build and deploy autonomous and intelligent AI applications that can mirror and enhance the capabilities of customer-facing teams. A Sprinklr Digital Twin doesn't just power conversations, it can make decisions, plan actions, design workflows, and execute tasks at scale with speed and efficiency.

Sprinklr Digital Twin technology helps unlock the power, potential, and promise of AI and is designed with privacy and governance in mind. Every enterprise is looking for the power to do more with less, the potential to innovate with generative AI, and ways to deliver on the promise of AI for exceptional customer experiences.

“The ultimate promise of AI for customer experience is unlimited digital capacity across the front office. We believe that Sprinklr Digital Twin technology will help increase an enterprise’s digital capacity to get work done,” said Sprinklr Founder and CEO, Ragy Thomas. “With the Sprinklr Unified-CXM platform, access to the world’s unstructured data that is publicly available, and proprietary AI combined with industry-leading generative AI capabilities, we believe that we are uniquely positioned to help our customers realize the true promise of AI. We want to help every customer unlock the transformative value of speed, innovation, and cost savings with AI.”

Beyond the Bot

Traditionally, companies have relied on a variety of tools to automate their workflows and processes. Examples include chatbots for automating sales and support conversations, marketing automation tools for managing outbound messages and notifications, appointment scheduling tools, task management apps to streamline tasks, and routing engines to direct queries to the appropriate team.

These tools often rely on hardcoded business processes and pre-defined responses, which can limit scope and escalate cost due to increased complexity in maintenance and updates. They tend to be specific to a certain channel or business unit, which can hinder the goal of unifying teams and functions across the organization.

Sprinklr Digital Twins do not rely on hardcoded business processes and are designed to work across different channels seamlessly. They are easier to build and train than a traditional chatbot, and they can be centrally managed. They combine the ability to learn from data and act, while performing tasks and making decisions like a team or employee would. Finally, Sprinklr Digital Twins are trained the same way a human is – with access to defined data and systems, instruction on what processes to use depending on tasks, and guidance on what policies and guardrails to follow.

When appropriate, Sprinklr Digital Twins can complete actions entirely autonomously (i.e., processing customer returns or refunds). But for more complex use cases, Sprinklr Digital Twins can use Sprinklr Unified Routing to collaborate with humans for improved productivity, efficiency, and oversight.

A New Approach to Conversational AI

Most organizations today take a standalone approach to conversational AI with two options. First, they can create individual stand-alone bots for each use case or each channel. This approach is difficult to maintain and scale. Second, they can create one central bot. This approach is limited in its use case and value because of governance challenges.

Sprinklr Digital Twin technology faces none of these challenges because it can be deployed at three layers.

  1. The enterprise layer – deployed as the internal and/or external facing AI embodiment of the organization. This is the layer of most common conversational AI use-cases today.
  2. The team layer – A Digital Twin representing specific teams and specialized at performing certain tasks. This is the shift happening now for today’s most modern enterprises implementing AI.
  3. The individual layer – In the near future, we believe that the most advanced enterprises will have Digital Twin technology deployed at the individual layer. Personal Digital Twins will empower employees by acting on their behalf, attending meetings, communicating internally and externally, and recommending strategies – all with oversite and interaction at the human level.

And with Sprinklr Digital Twins, every layer and Twin will be interconnected as part of the organization. Every layer can access new data or actions from the layers above and below. Layering can also allow for improved governance, with room for policies that require that certain data or actions are only available to certain teams or individual – in the same way that sensitive information and actions are preserved at the individual and team level for employees.

Sample Use Cases

  • Financial Services – A manager requests a quarterly performance report on customer service interactions related to credit card disputes. The Sprinklr Digital Twin will process the request, applying filters for dispute types and resolutions, generating visualizations of key metrics like resolution time and customer satisfaction. The Digital Twin provides insights, highlighting an area for process improvement, all without manual data manipulation.
  • Travel and Hospitality – In a travel agency, a customer experiences a booking issue with their vacation package. A Digital Twin, using real-time data, immediately updates the customer's segment from 'Engaged Travelers' to 'Service Recovery,' pausing marketing promotions to focus on resolving the service issue. Once resolved, the customer receives a tailored offer for their next trip, seamlessly linking service recovery with personalized marketing.
  • Technology – In a tech company offering cloud storage solutions, a customer encounters a data sync issue. The Digital Twin identifies the problem and dynamically shifts the customer from the 'Active Users' to 'Support Engagement' segment, halting promotional emails. After resolving the issue, the customer is transitioned back with a personalized apology and an exclusive discount on an upgraded storage plan, merging customer support with targeted marketing seamlessly.

Scalability and Implementation

Digital Twins are designed to be trained in a few simple steps with no code or low code implementation. The Sprinklr Digital Twin includes more than 100 out-of-the-box integrations with enterprise systems. Digital Twins can also ingest API documentation and credentials, allowing them to integrate with new systems autonomously. With the Digital Twin, you can empower every employee with AI - both as consumers and creators.

AI That You Can Trust

At Sprinklr, we believe that there are three core pillars of responsible AI – trust, integrity, and partnership. These three pillars are built into our AI systems as essential components for building trust and driving adoption. For more information, please refer to Sprinklr’s Trust Center.


Sprinklr is focused on developing Sprinklr Digital Twin technology with a small set of definition partners – first users that provide critical collaboration and feedback as we continue to innovate and develop exciting and valuable AI systems like Sprinklr Digital Twin.

If you are interested in learning more about partnering with Sprinklr on this innovative technology – visit or contact your Sprinklr representative.

About Sprinklr

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,700 valuable enterprises — global brands like Microsoft, P&G, Samsung, and more than 60% of the Fortune 100. Sprinklr’s value to the enterprise is simple: We un-silo teams to make customers happier.

Forward Looking Statements

This press release contains forward-looking information and statements within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the benefits of Sprinklr Digital Twin technology and features, the ability of Sprinklr to further develop its Digital Twin technology and features, the future adoption of Digital Twin technology by Sprinklr customers and other enterprises, the ability of customers to successfully implement Sprinklr Digital Twin technology and accomplish their objectives, and the ability of customers to achieve cost savings with AI. By their nature, these statements are subject to numerous uncertainties and risks, including factors beyond Sprinklr’s control, that could cause actual results, performance, or achievement to differ materially and adversely from those anticipated or implied in the statements, including those risks that are or will be discussed in Sprinklr’s Annual Report on Form 10-K for the year ended January 31, 2024, filed with the SEC on March 29, 2024, under the caption “Risk Factors,” and in other filings that Sprinklr makes from time to time with the SEC. Forward-looking statements speak only as of the date the statements are made and are based on information available to Sprinklr at the time those statements are made and/or management's good faith belief as of that time with respect to future events. Sprinklr assumes no obligation to update forward-looking statements to reflect events or circumstances after the date they were made, except as required by law.


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