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Workday and Salesforce Unveil New AI Employee Service Agent
24Jul

Workday and Salesforce Unveil New AI Employee Service Agent

In a Wednesday interview with CNBC’s Jim Cramer, the CEOs of Salesforce and Workday, Marc Benioff and Carl Eschenbach, announced their companies’ new partnership to develop an artificial intelligence assistant. Workday and Salesforce Unveil New AI Employee Service Agent. This collaboration aims to enhance onboarding, human resources, and other business processes. Salesforce Chair and CEO Marc Benioff and Workday CEO Carl Eschenbach join ‘Mad Money’ host Jim Cramer to talk their AI partnership. Both CEOs emphasized that the strength of their partnership lies in the integration of their extensive data sets. Benioff stated, “AI is all about data, and having access to extensive data enables us to deliver exceptional AI capabilities. This partnership exemplifies two companies coming together to ensure our customers have the data they need to realize the full potential of artificial intelligence.” Partnership will deliver a personalized, AI-powered assistant for employee service use cases such as onboarding, health benefits, and career development within Salesforce and Workday The two companies will establish a common data foundation that unifies HR and financial data from Workday with CRM data from Salesforce, enabling AI-powered use cases that boost productivity, lower costs, and improve the employee experience Workday will be natively integrated inside of Slack with deeper automation, so employees can seamlessly collaborate around worker, job, candidate, and similar records using AI Salesforce and Workday are both cloud-based software companies. Salesforce is renowned for its Slack application and software for sales, customer service, and marketing, while Workday specializes in human resources, recruiting, and workforce management. Eschenbach highlighted that Salesforce and Workday possess three crucial data sets in the enterprise landscape—employee data, customer data, and financial data. He added that the new initiative benefits customers by integrating services across platforms, eliminating the need to switch between different systems. “Through this partnership and our ability to share data, customers can seamlessly access our data sets whether they’re using Slack, Workday, or Salesforce,” Eschenbach said. Workday and Salesforce Unveil New AI Employee Service Agent The combination of Salesforce’s new Agentforce Platform and Einstein AI with the Workday platform and Workday AI will enable organizations to create and manage agents for a variety of employee service use cases. This AI agent will work with and elevate humans to drive employee and customer success across the business. Powered by a company’s Salesforce CRM data and Workday financial and HR data, the new AI employee service agents have a shared, trusted data foundation to communicate with employees in natural language, with human-like comprehension. As a result, taking action as part of onboarding, health benefit changes, career development, and other tasks will be easier than ever. When complex cases arise, the AI employee service agent will seamlessly transfer to the right individual for remediation, maintaining all the previous history and context for a smooth hand-off. This unique approach of humans and AI seamlessly working together will result in greater productivity, efficiency, and better experiences for employees. This is only possible by having the data, AI models, and apps deeply integrated. “The AI opportunity for every company lies in augmenting their employees and delivering incredible customer experiences. That’s why we’re so excited about our new Agentforce platform which enables humans and AI to drive customer success together, and this new partnership with Workday, to jointly build an employee service agent. Together we’ll help businesses create amazing experiences powered by generative and autonomous AI, so every employee can get answers, learn new skills, solve problems, and take action quickly and efficiently.” Marc Benioff, Chair and CEO, Salesforce Benefits to Employees Employees can now receive instant support through natural language conversations with their AI employee service agent, whether they are working in Salesforce, Slack, or Workday. This AI-driven assistant provides contextual help by understanding requests, accessing relevant information from integrated Workday-Salesforce data sources, and automating resolutions across platforms. Sal Companieh, Chief Digital and Information Officer at Cushman & Wakefield, commented, “As a leading global commercial real estate services firm, we prioritize employee support and engagement, which directly impacts client service. The ability to streamline workflows across Workday and Salesforce and deliver more personalized AI-powered employee experiences will be transformative for us.” Benefits to Employers By integrating HR, financial, and operational data into advanced AI models, Salesforce and Workday enhance workforce capabilities beyond individual productivity, fostering overall workforce intelligence, optimization, and resilience: Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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July 24, 2024in Agentforce Platform, Einstein 1 Platform, Generative AI
Einstein Service Agent
16Jul

Einstein Service Agent

Introducing Agentforce Service Agent: Salesforce’s Autonomous AI to Transform Chatbot Experiences Accelerate case resolutions with an intelligent, conversational interface that uses natural language and is grounded in trusted customer and business data. Deploy in minutes with ready-made templates, Salesforce components, and a large language model (LLM) to autonomously engage customers across any channel, 24/7. Establish clear privacy and security guardrails to ensure trusted responses, and escalate complex cases to human agents as needed. Editor’s Note: Einstein Service Agent is now known as Agentforce Service Agent. Salesforce has launched Agentforce Service Agent, the company’s first fully autonomous AI agent, set to redefine customer service. Unlike traditional chatbots that rely on preprogrammed responses and lack contextual understanding, Agentforce Service Agent is dynamic, capable of independently addressing a wide range of service issues, which enhances customer service efficiency. Built on the Einstein 1 Platform, Agentforce Service Agent interacts with large language models (LLMs) to analyze the context of customer messages and autonomously determine the appropriate actions. Using generative AI, it creates conversational responses based on trusted company data, such as Salesforce CRM, and aligns them with the brand’s voice and tone. This reduces the burden of routine queries, allowing human agents to focus on more complex, high-value tasks. Customers, in turn, receive faster, more accurate responses without waiting for human intervention. Available 24/7, Agentforce Service Agent communicates naturally across self-service portals and messaging channels, performing tasks proactively while adhering to the company’s defined guardrails. When an issue requires human escalation, the transition is seamless, ensuring a smooth handoff. Ease of Setup and Pilot Launch Currently in pilot, Agentforce Service Agent will be generally available later this year. It can be deployed in minutes using pre-built templates, low-code workflows, and user-friendly interfaces. “Salesforce is shaping the future where human and digital agents collaborate to elevate the customer experience,” said Kishan Chetan, General Manager of Service Cloud. “Agentforce Service Agent, our first fully autonomous AI agent, will revolutionize service teams by not only completing tasks autonomously but also augmenting human productivity. We are reimagining customer service for the AI era.” Why It Matters While most companies use chatbots today, 81% of customers would still prefer to speak to a live agent due to unsatisfactory chatbot experiences. However, 61% of customers express a preference for using self-service options for simpler issues, indicating a need for more intelligent, autonomous agents like Agentforce Service Agent that are powered by generative AI. The Future of AI-Driven Customer Service Agentforce Service Agent has the ability to hold fluid, intelligent conversations with customers by analyzing the full context of inquiries. For instance, a customer reaching out to an online retailer for a return can have their issue fully processed by Agentforce, which autonomously handles tasks such as accessing purchase history, checking inventory, and sending follow-up satisfaction surveys. With trusted business data from Salesforce’s Data Cloud, Agentforce generates accurate and personalized responses. For example, a telecommunications customer looking for a new phone will receive tailored recommendations based on data such as purchase history and service interactions. Advanced Guardrails and Quick Setup Agentforce Service Agent leverages the Einstein Trust Layer to ensure data privacy and security, including the masking of personally identifiable information (PII). It can be quickly activated with out-of-the-box templates and pre-existing Salesforce components, allowing companies to equip it with customized skills faster using natural language instructions. Multimodal Innovation Across Channels Agentforce Service Agent supports cross-channel communication, including messaging apps like WhatsApp, Facebook Messenger, and SMS, as well as self-service portals. It even understands and responds to images, video, and audio. For example, if a customer sends a photo of an issue, Agentforce can analyze it to provide troubleshooting steps or even recommend replacement products. Seamless Handoffs to Human Agents If a customer’s inquiry requires human attention, Agentforce seamlessly transfers the conversation to a human agent who will have full context, avoiding the need for the customer to repeat information. For example, a life insurance company might program Agentforce to escalate conversations if a customer mentions sensitive topics like loss or death. Similarly, if a customer requests a return outside of the company’s policy window, Agentforce can recommend that a human agent make an exception. Customer Perspective “Agentforce Service Agent’s speed and accuracy in handling inquiries is promising. It responds like a human, adhering to our diverse, country-specific guidelines. I see it becoming a key part of our service team, freeing human agents to handle higher-value issues.” — George Pokorny, SVP of Global Customer Success, OpenTable. Content updated October 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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July 16, 2024in Agentforce Platform, Data, Einstein 1 Platform, Generative AI, Salesforce
Net Promoter Score Explained
10May

Net Promoter Score Explained

When a friend or colleague takes the time to tell you about a product or service, you probably pay attention. Your friend is more reliable than a Yelp review, right? Word of mouth is the most common way people hear about brands. But how can you tell if your existing customers like your company enough to recommend it to their friends? One way is by tracking your Net Promoter Score (NPS). Is NPS really the best way to measure customer loyalty? Some service leaders aren’t convinced. We wanted to explore the pros and cons of this popular (and sometimes controversial) metric by reviewing what it is, why it’s important, and why some Service Trailblazers choose to measure loyalty in other ways. What is a Net Promoter Score? The Net Promoter Score is a customer experience metric that captures how likely a customer is to recommend your products, services, or brand. Created by Fred Reichheld in 2003, NPS has since been widely adopted. To find NPS, businesses ask customers: “On a scale from 0 to 10, how likely would you be to recommend our company to a friend or colleague?” Typically, companies follow up with an open-ended question to understand why a customer chose their score. Customers are categorized as promoters, passives, or detractors based on their scores: By understanding these categories, businesses can gain insights into customer loyalty and take action to improve customer experiences and foster stronger relationships. How to Calculate Net Promoter Score A company’s NPS is calculated by subtracting the percentage of detractors from the percentage of promoters. For instance, if you have responses from 100 customers, with 30 promoters and 18 detractors, your NPS would be 12. Why is the Net Promoter Score Important? Companies use NPS to gain insights into individual customer experiences and understand the overall perception of their products, services, and brand. NPS feedback helps address individual issues, enhance product offerings, and apply customer service principles effectively. An improving NPS indicates positive changes that matter to customers, while a sudden drop signals potential issues that need attention. What is a Good Net Promoter Score? NPS can range from -100 to +100. While anything above 0 indicates more promoters than detractors, industry-specific benchmarks provide a more nuanced view. For example, the average NPS in the insurance industry is 74, whereas in healthcare, it’s only 45. According to Bain & Company, the creators of NPS, a score above 0 is considered good. Scores over 20 are favorable, over 50 are excellent, and above 80 are world-class. Comparing your NPS to industry benchmarks helps gauge your customer experience relative to competitors, though it’s important to consider the context, such as company size and market scope. What is a Bad Net Promoter Score? Any NPS below zero is considered bad, as it means more customers are dissatisfied than satisfied. A significantly lower NPS compared to competitors may indicate the need to re-evaluate your customer service experience and address gaps that cause dissatisfaction. What Can You Measure Using NPS? NPS provides insights into: Bain & Company’s data shows that companies with long-term profitable growth have an NPS twice as high as the average company. How to Run Surveys and Collect Feedback Running an NPS survey involves asking a single question, collecting responses, and calculating your NPS. Surveys can be distributed via email, text, in-store, or online at checkout, using a survey builder or NPS app for automation. When to Run NPS Surveys The timing of NPS surveys varies: Staggering surveys over time can provide a more organic picture of customer satisfaction. How to Collect NPS Feedback Following up with an open-ended question like, “What’s the primary reason for your score?” helps gather actionable insights. This feedback can highlight areas for improvement and strengths to build on. How to Improve Your Net Promoter Score Improving NPS requires both individual and broad strategies: Implementing Net Promoter Score Invest in NPS survey software that integrates with your CRM platform. Automate survey distribution and workflows to manage responses efficiently. Designate responsibilities for customer follow-ups and NPS analysis. Measuring Your NPS is Just the Beginning Your NPS provides valuable insights into customer loyalty and satisfaction. However, the follow-through on these insights is crucial for engaging customers and delivering better experiences. Measuring your NPS is the first step towards enhancing your overall customer experience. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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May 10, 2024in Agentforce Platform, Salesforce Service Cloud

Reshaping the Automotive Industry With Salesforce

Changing customer expectations are reshaping the automotive industry, compelling dealerships to reevaluate their approach to business. With only 1% of buyers fully satisfied with their vehicle purchase experience, dealerships face a significant barrier to fostering loyalty. This dissatisfaction jeopardizes long-term profitability, as customers may turn elsewhere for future service or vehicle needs. Delivering exceptional customer experiences has become more critical than ever. However, rising operational costs present the challenge of achieving more with fewer resources — and doing so quickly. To drive sustainable growth, dealerships must prioritize relationship-building alongside achieving sales goals. Central to this effort is creating personalized digital touchpoints, especially for millennial and Gen Z shoppers, who now dominate the market. These younger consumers seek seamless, consistent experiences — from online browsing to in-person showroom visits. Turning them into lifelong customers requires a unified view of customer data, encompassing their digital shopping habits, service requests, and communications across all platforms. Fortunately, new tools can help dealerships meet these changing demands while reducing costs and improving productivity. To succeed, however, dealerships must adopt a mindset shift, moving beyond transactional practices to focus on customer-centric strategies. Digital Storefronts Are Falling Short Research reveals that fewer than 20% of original equipment manufacturers (OEMs) and retailers consider their digital storefronts engaging and mobile-friendly. For more insights into the industry’s challenges and opportunities, check out the “Trends in Automotive” report, based on feedback from 500 industry leaders. Beyond 30-Day Sales Goals: Building Lasting Relationships Dealerships have long operated in 30-day cycles, dictated by monthly sales goals from OEMs. However, successful dealerships now balance these targets with efforts to nurture long-term relationships. This involves more than sporadic emails about promotions or tune-ups. Instead, it’s about providing consistent, valuable interactions that address customer needs year-round. For example, keeping customers informed with personalized communications—such as alerts about service offers or recommendations for vehicle upgrades—can enhance their overall experience and build trust. Four Steps to Build Customer Loyalty The Path to Loyalty: A 360-Degree Customer View Sustaining long-term profitability hinges on extending customer loyalty beyond individual car sales. With Americans now keeping vehicles for an average of 12 years, dealerships must create enduring relationships across the vehicle’s lifecycle. Salesforce Automotive Cloud empowers dealerships with a 360-degree view of customer data, enabling teams to deliver personalized, seamless experiences. This unified approach helps sales teams close deals faster and service teams provide tailored consultations, ultimately fostering loyalty. Salesforce Sales and Service Cloud provide the same 360-degree view with powerful sales and service tools, including automated agents. The goal? To ensure customers think of your dealership first—whether for service, upgrades, or their next vehicle purchase. By placing the customer at the center of your business and leveraging advanced technology, dealerships can adapt to the evolving landscape and thrive in the future. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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September 22, 2023in Agentforce Platform, Artificial Intelligence, Data, Salesforce, Salesforce Automotive Cloud, Technology

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