Provider Archives - gettectonic.com - Page 16
Salesforce Certified Healthcare Technology
22Aug

Salesforce Certified Healthcare Technology

As a Salesforce Certified healthcare technology consultant, Tectonic brings extensive experience across both large and small healthcare settings, witnessing firsthand the transformative impact of Salesforce Health Cloud. Having contributed to the development of an EHR and RCM application on Salesforce, Tectonic understands the substantial benefits this platform offers when integrated with existing technologies such as Electronic Health Records (EHR), claims data sources, and Patient Population Health Management systems. Enhanced Patient Population Health Management: Salesforce Health Cloud equips healthcare providers with tools to effectively manage Patient Population Health by gathering, analyzing, and acting on health data. Providers can leverage these insights to identify at-risk populations, design targeted interventions, and improve patient outcomes. Optimized Provider Referral Patterning: By integrating Salesforce Health Cloud with claims data, Tectonic enables providers to analyze referral patterns. This helps healthcare organizations collaborate more effectively with physicians based on their specialties, insurance networks, and common CPT codes, ultimately enhancing patient care and strengthening provider networks. AI-Enabled Contact Service Centers for Better Patient Care: Integrating Generative AI with Salesforce Health Cloud allows healthcare providers to deliver personalized, responsive services. By connecting Billing, EHR, and Patient Population Health Management platforms, Tectonic reduces administrative burdens, streamlines communication, and improves patient satisfaction in contact service centers. Business Development Liaison Route Planning: Using Salesforce Maps combined with 1st and 3rd party claims data, Tectonic enables business development teams to generate optimized, daily route plans within seconds. These plans allow healthcare representatives to visit the right providers based on location, specialty, referral volumes, and other key preferences. Strategic Territory Expansion and Planning: Salesforce Health Cloud empowers healthcare organizations to strategically plan for territory expansion. Through analyzing geographic claims data and patient demographics, Tectonic helps organizations make data-driven decisions on resource allocation and service growth. Extending Functionality with Salesforce AppExchange and Salesforce Health Cloud: The Salesforce AppExchange offers a wide array of applications that expand Health Cloud’s core capabilities. These apps can boost patient engagement, care coordination, and advanced analytics. In addition, Tectonic leverages multiple health and life sciences process, which integrates Revenue Cycle Management (RCM) and EHR functionalities, enabling providers to manage billing, claims, and clinical data seamlessly within one platform, among many other features. Conclusion: Salesforce Health Cloud, when combined with Tectonic‘s expertise and solutions like payer and provider processes, becomes a powerful asset for healthcare providers. By integrating Health Cloud into existing technology stacks and utilizing AppExchange apps, healthcare organizations can improve patient care, streamline operations, and strategically plan for growth in the ever-evolving healthcare landscape. Content updated September 2024. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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August 22, 2023in Data, Generative AI, Salesforce, Salesforce Health Cloud, Technology
Big Data and Data Visualization
20Aug

Big Data and Data Visualization Explained

Data Visualization: Turning Complex Data into Clear Insights Data visualization is the practice of converting information into visual formats, such as maps or graphs, to make data more accessible and understandable. The primary purpose of data visualization is to highlight patterns, trends, and outliers within large data sets, allowing users to quickly glean insights. The term is often used interchangeably with information graphics, information visualization, and statistical graphics. The Role of Data Visualization in Data Science Data visualization is a crucial step in the data science process. After data is collected, processed, and modeled, it must be visualized to draw meaningful conclusions. It’s also a key component of data presentation architecture, a discipline focused on efficiently identifying, manipulating, formatting, and delivering data. Importance Across Professions Data visualization is essential across various fields. Teachers use it to display student performance, computer scientists to explore AI advancements, and executives to communicate information to stakeholders. In big data projects, visualization tools are vital for quickly summarizing large datasets, helping businesses make informed decisions. In advanced analytics, visualization is equally important. Data scientists use it to monitor and ensure the accuracy of predictive models and machine learning algorithms. Visual representations of complex algorithms are often easier to interpret than numerical outputs. Historical Context of Data Visualization Data visualization has evolved significantly over the centuries, long before the advent of modern technology. Today, its importance is more pronounced, as it enables quick and effective communication of information in a universally understandable manner. Why Data Visualization Matters Data visualization provides a straightforward way to communicate information, regardless of the viewer’s expertise. This universality makes it easier for employees to make decisions based on visual insights. Visualization offers numerous benefits for businesses, including: Advantages of Data Visualization Key benefits include: Challenges and Disadvantages Despite its advantages, data visualization has some challenges: Data Visualization in the Era of Big Data With the rise of big data, visualization has become more critical. Companies leverage machine learning to analyze vast amounts of data, and visualization tools help present this data in a comprehensible way. Big data visualization often employs advanced techniques, such as heat maps and fever charts, beyond the standard pie charts and graphs. However, challenges remain, including: Examples of Data Visualization Techniques Early computer-based data visualizations often relied on Microsoft Excel to create tables, bar charts, or pie charts. Today, more advanced techniques include: Common Use Cases for Data Visualization Data visualization is widely used across various industries, including: The Science Behind Data Visualization The effectiveness of data visualization is rooted in how humans process information. Daniel Kahneman and Amos Tversky’s research identified two methods of information processing: Visualization Tools and Vendors Data visualization tools are widely used for business intelligence reporting. These tools generate interactive dashboards that track performance across key metrics. Users can manipulate these visualizations to explore data in greater depth, and indicators alert them to data updates or important events. Businesses might use visualization of data software to monitor marketing campaigns or track KPIs. As tools evolve, they increasingly serve as front ends for sophisticated big data environments, assisting data engineers and scientists in exploratory analysis. Popular data visualization tools include Domo, Klipfolio, Looker, Microsoft Power BI, Qlik Sense, Tableau, and Zoho Analytics. While Microsoft Excel remains widely used, newer tools offer more advanced capabilities. Data visualization is a vital subset of the broader field of data analytics, offering powerful tools for understanding and leveraging business data across all sectors. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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August 20, 2023in Salesforce
Salesforce Einstein and Einstein Automate
09Aug

Einstein Trust

Generative AI, Salesforce, and the Commitment to Trust The excitement surrounding generative AI is palpable as it unlocks new dimensions of creativity for individuals and promises significant productivity gains for businesses. Engaging with generative AI can be a great experience, whether creating superhero versions of your pets with Midjourney or crafting pirate-themed poems using ChatGPT. According to Salesforce research, employees anticipate saving an average of 5 hours per week through the adoption of generative AI, translating to a substantial monthly time gain for full-time workers. Whether designing content for sales and marketing or creating a cute version of a beloved story, generative AI is a tool that helps users create content faster. However, amidst the enthusiasm, questions arise, including concerns about the security and privacy of data. Users ponder how to leverage generative AI tools while safeguarding their own and their customers’ data. Questions also revolve around the transparency of data collection practices by different generative AI providers and ensuring that personal or company data is not inadvertently used to train AI models. Additionally, there’s a need for assurance regarding the accuracy, impartiality, and reliability of AI-generated responses. Salesforce has been at the forefront of addressing these concerns, having embraced artificial intelligence for nearly a decade. The Einstein platform, introduced in 2016, marked Salesforce’s foray into predictive AI, followed by investments in large language models (LLMs) in 2018. The company has diligently worked on generative AI solutions to enhance data utilization and productivity for their customers. The Einstein Trust Layer is designed with private, zero-retention architecture. Emphasizing the value of Trust, Salesforce aims to deliver not just technological capabilities but also a responsible, accountable, transparent, empowering, and inclusive approach. The Einstein Trust Layer represents a pivotal development in ensuring the security of generative AI within Salesforce’s offerings. The Einstein Trust Layer is designed to enhance the security of generative AI by seamlessly integrating data and privacy controls into the end-user experience. These controls, forming gateways and retrieval mechanisms, enable the delivery of AI securely grounded in customer and company data, mitigating potential security risks. The Trust Layer incorporates features such as secure data retrieval, dynamic grounding, data masking, zero data retention, toxic language detection, and an audit trail, all aimed at protecting data and ensuring the appropriateness and accuracy of AI-generated content. Salesforce proactively provided the ability for any admin to control how prompt inputs and outputs are generated, including reassurance over data privacy and reducing toxicity. This innovative approach allows customers to leverage the benefits of generative AI without compromising data security and privacy controls. The Trust Layer acts as a safeguard, facilitating secure access to various LLMs, both within and outside Salesforce, for diverse business use cases, including sales emails, work summaries, and service replies in contact centers. Through these measures, Salesforce underscores its commitment to building the most secure generative AI in the industry. Generating content within Salesforce can be achieved through three methods: CRM Solutions: Einstein Copilot Studio: Einstein LLM Generations API: An overarching feature of these AI capabilities is that every Language Model (LLM) generation is meticulously crafted through the Trust Layer, ensuring reliability and security. At Tectonic, we look forward to helping you embrace and utilize generative AI with Einstein save time. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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August 9, 2023in Artificial Intelligence, Data, Generative AI, Salesforce, Salesforce Einstein
Smart Communications Partners with Salesforce
13Jul

CME Cloud Salesforce

Salesforce CME: The Industry-Specific Cloud for Communications, Media & Energy Transform Your Business with Tailored Industry Solutions Salesforce Communications, Media & Energy (CME) Cloud is a purpose-built industry solution that empowers organizations in these sectors to digitally transform operations, accelerate revenue, and deliver superior customer experiences. Built on the Salesforce platform, CME combines industry-specific workflows with powerful CRM capabilities to address unique challenges in: ✔ Telecommunications✔ Media & Entertainment✔ Energy & Utilities Key Capabilities of Salesforce CME 1. Configure, Price, Quote (CPQ) for Complex Offerings 2. Enterprise Product Catalog (EPC) 3. Intelligent Order Management 4. Digital Commerce Transformation 5. Contract Lifecycle Management (CLM) 6. Low-Code Customization with OmniStudio Industry-Specific Benefits Communications Providers Media Companies Energy & Utilities Implementation & Administration ✅ Managed package installation✅ Pre-configured industry data models✅ Granular permission controls✅ Detailed Salesforce documentation Typical Implementation Timeline: Why Choose Salesforce CME? “After implementing CME, we reduced service activation time from 5 days to 2 hours while improving NPS by 18 points.”— VP of Operations, Global Telecom Provider Next Steps Accelerate your digital transformation with Salesforce’s #1 industry cloud for Communications, Media & Energy. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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July 13, 2023in Data, Enterprise, Salesforce
Salesforce Field Service
01Jul

Understanding Salesforce Field Service

Salesforce Field Service is an expansive addition to Salesforce Service Cloud, offering a 360 degree perspective on workforce management, especially in scenarios where services extend beyond the office or work site into the field. This typically involves mobile employees such as service technicians, alongside service agents, dispatchers, and service managers. Let’s dive into the nuances of Salesforce Field Service, addressing key aspects like its definition, user roles, reporting, scheduling, optimization, and more. Salesforce Field Service is also a popular tool in public sector solutioning. Understanding Salesforce Field Service will help to decide if it is right for your service teams. Understanding Salesforce Field Service: Salesforce Field Service, formerly known as Field Service Lightning (FSL), is an extension of Service Cloud designed to provide a comprehensive workforce management view. It seamlessly manages services delivered in the field, such as a electrical installer arriving to fulfill a customer’s order. Field Service Lightning evolves with each Salesforce release, continually enhancing functionality. Salesforce Field Service enhances customer engagement with real-time personalization, optimization of field teams with a scheduling engine, and access to offline data. Components of Salesforce Field Service: Field Service comprises various components, including Service Appointments, Salesforce Service Cloud integration, Territory and Scheduling functionalities, the Field Service Dispatcher Console, and the Field Service Mobile App for Android and iOS with offline capabilities. A detailed data model diagram illustrates the relationship between Service Cloud and Field Service. Users of Salesforce Field Service: Salesforce Field Service is particularly valuable for organizations with mobile field technicians supporting customers. It excels in scenarios with intricate service delivery involving multiple individuals like dispatchers, field technicians, service agents, and service managers. Each user persona interacts with Salesforce Field Service in distinct ways, utilizing tools like the Dispatcher Console or Field Service Mobile App tailored to their roles. Use Cases for Salesforce Field Service: Field Service proves beneficial in diverse service scenarios, including repairs, maintenance, sales visits, and healthcare care visits. It facilitates efficient coordination among dispatchers, field technicians, service agents, and service managers, streamlining processes and enhancing customer satisfaction. Key Terms in Salesforce Field Service: Understanding key terms such as Work Orders, Service Appointments, Contracts, Entitlements, Work Types, Service Territories, Operating Hours, Resources, and Scheduling Policies is essential. These terms collectively form the foundation of Salesforce Field Service’s robust data model and optimized usability. Scheduling and Optimization: Scheduling in Salesforce Field Service is managed through the Dispatcher Console, empowering dispatchers to make informed decisions. Various methods, from manual to fully automated, enable the creation of service appointments, optimizing resource allocation and ensuring efficient service delivery. Forecasting and Planning: Use real-time data to quickly assess the impact of global or in-day optimization on travel time and resource utilization. Refine scheduling policies, get an instant view of optimization results, and KPI changes. Asset Service Management: Move from reactive to proactive service with real-time asset tracking. Monitor service outcomes and create preventive maintenance plans based on asset use, condition, age, and specific criteria. Service Territory Design: Service Territories, categorized as Primary, Secondary, and Relocation Territories, define where teams can perform work. Well-defined territories are crucial for efficient dispatcher satisfaction, requiring thoughtful initial design and ongoing maintenance. Field Service Mobile App: The Salesforce Field Service Mobile app is essential for on-the-move workforces, offering technicians essential information to optimize job execution. Offline capabilities ensure uninterrupted work, and the Visual Remote Assistant feature enables two-way video and audio communication between agents, technicians, and customers. Slack for Field Service: Empower your mobile workforce with seamless connectivity and timely assistance whenever it is needed. Mobilize for service appoints and tap into the expertise of colleagues throughout the organization with the user-friendly Slack interface. Reporting in Salesforce Field Service: Monitoring service efficiency and success involves leveraging Salesforce reports, list views, and other platform analytics. Work Order List Views and Field Service Report Types provide insights into service call-outs and overall performance. Enabling Field Service Lightning: Setting up Salesforce Field Service involves installing it as a Managed Package, assigning licenses to users, and configuring standard objects like Products, Assets, Service Contracts, and Entitlements. Creating records for Service Territories, Service Resources, and Operating Hours establishes the framework for the service model. Field Service Deployments: Deployments in Salesforce Field Service can be time-consuming due to its reliance on object data. Considerations for complex relational data movement between environments and potential risks, such as resistance to automation, require careful attention. Tectonic, as a Salesforce Consulting Partner, can assist your company in deploying Salesforce Field Service. Salesforce Field Service projects, while intricate, can be highly valuable when executed correctly providing a large ROI. Adequate planning, phased implementations, and a long-term perspective contribute to the success of organizations leveraging the capabilities of Salesforce Field Service. If you are looking for a more robust solution, consider Field Service Plus combining dispatch and technician functionality along with Service Cloud and Sales Cloud. Tectonic looks forward to helping your field service team utilize this Salesforce tool. Tectonic is please to announce Salesforce Service Cloud Implementation Solutions. Like2 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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July 1, 2023in Data, Salesforce, Salesforce Manufacturing Automotive Energy, Salesforce Public Sector Solutions, Salesforce Service Cloud
Salesforce Sales Cloud
07Jun

Salesforce Sales Cloud GPT

What is Salesforce Sales Cloud GPT? Salesforce’s Einstein GPT is a robust AI tool that seamlessly integrates both public and private AI models with CRM data. This unique synergy allows users to articulate natural-language queries directly within the Salesforce CRM environment, resulting in continuously adapted AI-generated content tailored to evolving customer information and requirements. Salesforce Sales Cloud GPT The suite encompasses a suite of powerful Artificial Intelligence (AI) products, including the Einstein service, the workplace-messaging app Slack, and the data analysis software Tableau. Notably, it unveils a compelling array of natural language tools slated for release in 2023, such as Sales GPT for personalized emails, Service GPT for service messages and chatbots, and Marketing GPT for refined audience targeting. Furthermore, the AI Cloud is meticulously crafted to host extensive language models from various providers such as AWS, Anthropic, and Cohere. Salesforce’s commitment to AI startups is further underscored by a substantial $500 million injection into its venture capital fund. Impact on Sales Cloud with AI and EinsteinGPT: Sales Cloud undergoes a transformative impact through AI, notably EinsteinGPT. Anchored in principles of Trust, Security, and Privacy, Salesforce introduces the Einstein Trust Layer within its AI Cloud offering to assuage privacy concerns. This layer ensures adaptability and transparency while upholding stringent standards for data privacy, security, and compliance. EinsteinGPT for Sales Cloud emerges as a game-changing innovation, serving as a personalized assistant within Salesforce CRM to streamline sales processes. Leveraging Generative AI, it transcends mere data analysis by generating novel content, ideas, and approaches. Key features encompass Einstein GPT, Einstein Conversation Insights, and Einstein Relationship Insights. Industries Experience Tangible Impact: Salesforce’s substantial investments in AI are reshaping the landscape of sales and customer engagement. As EinsteinGPT becomes an integral part of the platform, the anticipation of new and innovative use cases signals a significant leap forward in AI accessibility. Tectonic is please to announce our Sales Cloud Implementation Solutions. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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June 7, 2023in Salesforce Einstein, Salesforce Financial Services Solutions, Salesforce Manufacturing Automotive Energy, Salesforce Public Sector Solutions, Salesforce Sales Cloud

Layers of the AI Stack

The AI stack refers to the layered architecture of technologies and components that work together to build, deploy, and manage artificial intelligence (AI) systems. Each layer of the stack plays a critical role in enabling AI capabilities, from data collection to model deployment and beyond. Here’s a breakdown of the key layers of the AI stack: 1. Data Layer The foundation of any AI system is data. This layer involves collecting, storing, and managing the data required to train and operate AI models. Key Components: 2. Infrastructure Layer This layer provides the computational power and hardware needed to process data and run AI models. Key Components: 3. Framework and Tools Layer This layer includes the software frameworks and tools used to build, train, and optimize AI models. Key Components: 4. Model Layer This is the core layer where AI models are developed, trained, and fine-tuned. Key Components: 5. Application Layer This layer focuses on deploying AI models into real-world applications and integrating them with existing systems. Key Components: 6. Orchestration and Management Layer This layer ensures that AI systems are scalable, reliable, and efficient in production environments. Key Components: 7. Business Layer This layer focuses on the business value of AI, including use cases, ROI, and ethical considerations. Key Components: 8. Ecosystem Layer This layer includes the external tools, services, and communities that support AI development and deployment. Key Components: How the Layers Work Together Why the AI Stack Matters The AI stack provides a structured approach to building and deploying AI systems. By understanding and optimizing each layer, organizations can: Conclusion The AI stack is a comprehensive framework that enables organizations to harness the power of AI effectively. By mastering each layer—from data collection to business value—you can build robust, scalable, and impactful AI solutions. Whether you’re a startup or an enterprise, understanding the AI stack is key to staying competitive in the age of artificial intelligence. Content updated March 2025. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 27, 2023in Artificial Intelligence, Data, Deep Learning, Enterprise, Google, Salesforce, Salesforce Einstein
Slack and Salesforce
19May

Amaze Your Customers With Slack and Service Cloud For Improved Customer Service

Surpass your customers’ expectations with the combined power of Service Cloud and Slack. Drive down operating costs, enhance team productivity, and exceed customer expectations by leveraging the capabilities of Service Cloud and Slack. Understanding the current service landscape: The digital transformation, accelerated by the pandemic, has propelled customers and businesses into a new era, marked by the extensive use of diverse tools for day-to-day operations. Since 2020, Salesforce’s data indicates that achieving transparency and fostering active engagement are crucial to meeting heightened customer expectations, evident in a notable 47% surge in video support. However, a significant number of organizations face a challenge as their technology systems do not fully align with these evolving expectations. We all know it’s hard to make a good paper mache airplane if you only have a piece of paper. And technology is no different. According to Intercom, 46% of support leaders express that their tech stack acts as a hindrance to achieving organizational goals. Operating across various applications diminishes team productivity and hinders business expansion. To effectively cater to your customers, service teams must innovate and adapt to the multitude of tools, contact channels, isolated teams, and fragmented data. Support operations personnel need to address key questions: The solution lies in adopting Slack as the productivity hub, coupled with Salesforce’s Service Cloud integration. This dynamic combination unlocks your full productivity potential, fostering increased customer loyalty. Break down organizational silos and expedite case resolution for enhanced customer experiences. In the ever-evolving digital marketplace, customers demand seamless service without being transferred between agents or repeating their information. A staggering 83% of customers expect complex issues to be addressed by a single point of contact. However, traditional tiered-support models fall short of meeting these expectations. The solution lies in providing teams with a comprehensive view of the entire customer journey. By leveraging the combined capabilities of Service Cloud and Slack, organizations can achieve significant cost reductions and enhance service team productivity. Service Cloud has been shown to lower support costs by 27%, while Slack increases employee productivity by 26%, according to the 2022 Salesforce Success Metrics Global Highlights study. Swarming Swarming, facilitated by Service Cloud and Slack, revolutionizes the support approach. Unlike traditional tiered support, swarming brings service agents, engineers, and issue analysts together in real-time, eliminating the need for case escalations and customer department bouncing. The swarm team collaborates efficiently, sharing information with customers proactively. The Field Service mobile app further facilitates instant connections with experts, reducing the need for unnecessary on-site visits. Service Cloud and Slack, working together, use out-of-the-box workflows to automatically assemble cross-functional experts and create Slack channels for collaborative efforts on complex cases. This approach eliminates messy handoffs and siloed decision-making, promoting transparency. Swarming ensures that everyone involved can access the entire conversation, participate in Slack huddles, and search for resolutions to similar cases. Automation and streamlined collaboration are paramount for providing exceptional service experiences. The time factor, particularly time to resolution and time on hold, is a significant barrier. Many service agents (78%) struggle to balance speed and quality due to the challenge of working across multiple systems. The integration of Service Cloud and Slack addresses this issue by extending workflows throughout the organization. Soon, Slack GPT will further enhance CRM and conversational data, providing AI-generated summaries and enabling the creation of no-code workflows. Workflow Builder and Flow Builder, no-code tools from Slack and Salesforce, respectively, collaborate seamlessly to automate daily tasks and enhance transparency, agility, and cross-team collaboration. Successful Integration The success of this integration is evident in the substantial improvements seen by service organizations using Slack, including a 32% increase in Net Promoter Score, 27% decrease in service/support costs, 30% increase in agent productivity, and a 30% increase in customer retention. The ever-changing level of customer expectations underscores the importance of service professionals as frontline ambassadors for your brand. With 88% of customers valuing their experience with a company as much as its products, swarming becomes a strategic approach to surpass expectations. Slack Connect facilitates direct access to support for partners, vendors, and B2B customers through a dedicated channel, fostering collaborative issue resolution. Slack clips and white-glove service further enhance the support process. Clips allow users to record audio, video, and screen shares, creating a searchable database of demonstrations. Private support channels in Slack provide key customers with white-glove service, allowing them to record and upload technical issues for prompt resolution. slack and service cloud In the current remote and decentralized business workforce, Service Cloud and Slack offer an opportunity to exceed customer expectations, transform service cases into lasting relationships, cut costs, and boost team productivity. If your average call handle time is too long, if your data is too siloed, or if your customer service teams are overwhelmed, contact Tectonic today to explore a Slack and Salesforce Service Cloud Integration. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 19, 2023in Salesforce for Nonprofits, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Public Sector Solutions, Salesforce Service Cloud, Salesforce Slack
AI Potential to Improve Prior Authorizations
17May

AI Potential to Improve Prior Authorizations

AI’s Potential to Reduce Provider Burdens in the Prior Authorization Process Artificial intelligence (AI) has the potential to significantly ease the documentation and substantiation burdens providers face during the prior authorization process. Prior authorization, a critical step where health plans approve or deny coverage for services or prescriptions before they’re administered, is a key cost-control mechanism in the U.S. healthcare system. While it helps payers avoid unnecessary spending, the process poses significant challenges, especially for healthcare providers tasked with gathering and submitting documentation. AI Potential to Improve Prior Authorizations examined. Historically, prior authorization has been a major regulatory challenge for providers, surpassing other issues such as electronic health record (EHR) interoperability and compliance with the No Surprises Act. Despite its cumbersome nature, prior authorization isn’t likely to be eliminated, as it plays a crucial role in balancing healthcare affordability and access to quality care. AI Potential to Improve Prior Authorizations The transactional nature of many prior authorization tasks makes them ripe for automation. Increasingly, stakeholders are turning to AI and other technology-driven solutions to streamline the process, making it less burdensome for providers. How AI Can Streamline Prior Authorization AI has already been applied to various aspects of healthcare, from automating hospital discharges to alleviating the administrative burdens of nurses. When applied to prior authorization, AI can speed up the approval process for both providers and payers, reducing delays in patient care and lowering administrative costs. Health insurance companies are already beginning to leverage AI to expedite prior authorization and claims decisions. However, concerns are growing over whether the use of AI in these areas complies with state and federal regulations. For example, a 2023 AMA Annual Meeting resolution cited an investigation revealing that Cigna doctors denied over 300,000 claims in two months, spending an average of just 1.2 seconds per case using AI. UnitedHealthcare has also employed AI to make “fast, efficient, and streamlined coverage decisions,” raising questions about whether these decisions adhere to regulatory standards for fairness and accuracy. AMA’s Call for Oversight on AI in Prior Authorization Recognizing the risks, the American Medical Association (AMA) has called for increased regulatory oversight of AI in prior authorization. Specifically, the AMA advocates for: AI could potentially reduce the time-consuming, manual tasks associated with prior authorization. However, as AMA Trustee Dr. Marilyn Heine cautioned, “AI is not a silver bullet.” The increasing reliance on AI for prior authorization must not add to the already overwhelming volume of requirements that burden physicians and hinder patient care. Nor can it increase the threat of cyberattacks. Fixing Prior Authorization: AMA’s Role Addressing the challenges of prior authorization is a key part of the AMA’s Recovery Plan for America’s Physicians. The organization is committed to reducing the overuse of prior authorization and improving the fairness of existing processes, ensuring that the use of AI in healthcare supports—not hinders—patient care. To that end, the AMA continues to research the costs and impacts of prior authorization on healthcare providers and patients. To learn more about the proper use of AI in medicine and the AMA’s efforts to reform prior authorization, visit the AMA’s resources on healthcare AI. Content updated September 2024. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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May 17, 2023in Artificial Intelligence, Salesforce Health and Life Sciences Solutions, Salesforce Implementation Services, Technology
Salesforce Experience Cloud
12May

Nonprofit with Salesforce Experience Cloud

Transform Your Nonprofit with Salesforce Experience Cloud: A Digital Storefront for Engagement Think of Salesforce Experience Cloud as your Nonprofit’s digital storefront—always open, always inviting. This powerful Digital Experience Platform (DXP) enables you to create custom portals, communities, and hubs where donors, volunteers, and beneficiaries can seamlessly connect with your organization. Instead of juggling endless emails and spreadsheets, Experience Cloud centralizes interactions, making them self-service, intuitive, and engaging. With nonprofit-specific features, you can build customized, branded experiences without heavy development work. Here’s what makes Experience Cloud a game-changer: ✅ Drag-and-drop site builder for effortless customization✅ Prebuilt templates & Lightning components for quick deployment✅ Mobile Publisher for consistent branding across mobile apps✅ Built-in content management system (CMS)✅ Personalization tools like audience targeting & role-based access✅ Einstein AI-powered chatbots for instant responses✅ Gamification with badges & leaderboards✅ Google Analytics 4 integration for engagement insights✅ Advanced security with Lightning Locker & Clickjack protection …and much more. 🔍 Nonprofit Solutions You Can Build with Salesforce Experience Cloud 1️⃣ Program Applications & Intake Portals Managing program applications can be overwhelming without a structured system. Experience Cloud allows Nonprofits to create a self-service portal where applicants can submit forms, track status updates, and receive automated notifications—eliminating paper-based processes and endless email chains. With Dynamic Forms and Flow Builder, applications stay structured while automation accelerates approvals. Plus, since everything syncs to the Nonprofit Success Pack (NPSP), you’ll always have a real-time view of applicants and program impact. 2️⃣ Volunteer Portals Managing volunteers shouldn’t feel like a full-time job. With a Volunteer Portal, people can sign up, pick shifts, and track their hours—all without back-and-forth emails. Features like automated background checks and approval workflows ensure smooth operations. Meanwhile, Experience Cloud’s Chatter integration fosters engagement, helping you track who’s active, who’s disengaged, and who might need a little encouragement. 3️⃣ Community Partner Portals Nonprofits thrive on partnerships, and a Community Partner Portal keeps corporate sponsors, local businesses, and community groups connected. With this portal, partners can log in, access shared resources, submit funding applications, and track joint projects—all from one secure platform. Role-based access ensures that sensitive data stays protected while collaboration remains seamless. 4️⃣ Membership Portals If your nonprofit has a membership program, Experience Cloud helps you build a Member Portal where users can renew memberships, update information, and access exclusive content. Want to boost engagement? Introduce gamification with badges, leaderboards, and personalized event recommendations. Since everything is integrated with Salesforce CRM, you’ll gain real-time insights into member activity to keep engagement levels high. 5️⃣ Grant Management Portals Grant applications shouldn’t feel like a never-ending email thread. With Experience Cloud, you can create a Grant Management Portal where organizations apply for funding, track application progress, and submit reports—all in one place. Einstein AI can even prioritize applications based on predefined criteria, accelerating the review process. Grantors, in turn, can access real-time funding reports—enhancing transparency and trust. 6️⃣ E-Commerce & Donation Portals Looking to sell nonprofit merchandise or accept donations online? Experience Cloud seamlessly integrates with Salesforce Commerce Cloud, allowing you to build an e-commerce storefront for hassle-free transactions. Supporters can:💳 Make one-time or recurring donations🛍️ Purchase branded merchandise📜 Track donation history & receive personalized thank-you messages For secure transactions and easy donor tracking, you can integrate Stripe, PayPal, or other payment processors directly into your portal. 7️⃣ Voter Registration Portals If your nonprofit promotes civic engagement, Experience Cloud can power a Voter Registration Portal where users can check registration status, sign up to vote, and receive election reminders. With geolocation tools, voters can find polling places instantly, while Marketing Cloud integration allows you to send timely voter updates—ensuring higher participation in the democratic process. Implementing Salesforce Experience Cloud for Nonprofits Which Approach is Right for Your Nonprofit? Your ideal Experience Cloud implementation depends on your current CRM, budget, and long-term strategy. 1️⃣ Standalone Experience Cloud Implementation If your nonprofit already uses Salesforce CRM (but not NPSP), you can still implement Experience Cloud independently to create portals, volunteer hubs, and dashboards while maintaining your existing CRM as the system of record. Considerations:🔹 Custom Configuration – You’ll need to set up nonprofit-specific objects & automation.🔹 Permissions & Access – Well-structured security settings are crucial.🔹 CRM Integration – If using a non-Salesforce CRM, API integrations (e.g., MuleSoft, Zapier) will be required. This option is best for nonprofits that want external-facing engagement tools without fully shifting to the Salesforce Nonprofit ecosystem. 2️⃣ Experience Cloud + Nonprofit Cloud / NPSP For nonprofits already using Salesforce Nonprofit Cloud or NPSP, Experience Cloud becomes an extension of your engagement strategy. 🔹 Real-time donor, volunteer, and grant data sharing🔹 Prebuilt nonprofit features (fundraising, donor management, program tracking)🔹 Automation & AI-powered engagement 3️⃣ Experience Cloud + Third-Party Nonprofit CRMs Already using a third-party nonprofit CRM (like Raiser’s Edge NXT, Neon One, or DonorPerfect)? You can still leverage Experience Cloud, but strong integration is key. 🔹 Experience Cloud powers your donor, volunteer, or program portal🔹 API-based sync required for real-time data exchange🔹 Tools like MuleSoft or Zapier help bridge data gaps This approach is ideal for nonprofits wanting the flexibility of Experience Cloud without migrating their backend to Salesforce. Final Thought: Making Experience Cloud Work for Your Nonprofit No matter your approach, Salesforce Experience Cloud is a powerful tool to drive engagement and efficiency for nonprofits. However, successful implementation requires a well-thought-out strategy. Need expert guidance? A Salesforce implementation partner can help tailor Experience Cloud to fit your unique nonprofit needs, ensuring your digital storefront delivers maximum impact. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays

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May 12, 2023in Data, Google, Google Analytics, Mulesoft, Salesforce, Salesforce Commerce Cloud, Salesforce Experience Cloud, Salesforce Nonprofit Cloud
What is Health Cloud
04May

What is Health Cloud?

Salesforce Health Cloud, a specialized platform designed for healthcare organizations, aims to streamline operations and provide personalized care. By leveraging cloud technology, mobile capabilities, and social integration, Health Care Cloud enhances productivity, reduces costs, and offers a comprehensive view of patient data. Salesforce keeps electronic personal health information (ephi) safe and secure. Since its inception, Salesforce Health Cloud has evolved significantly to meet the unique and challenging needs of the healthcare sector. The introduction of Customer 360 for Health marks a milestone in fostering empathetic care and promoting collaboration among healthcare teams. What is Salesforce Health Cloud? At its core, Health Cloud facilitates seamless collaboration among healthcare teams to ensure optimal patient care. With robust security measures in place, patient data remains secure and accessible only to authorized personnel. Salesforce Health provides care teams with convenient access to both clinical and non-clinical patient information, including health conditions, medications, appointment history, communication preferences, and data from Electronic Health Records (EHRs). Categorized under Salesforce Industry Clouds, Health Cloud combines CRM capabilities with specialized features tailored for healthcare providers, payers, medical device companies, and pharmaceutical manufacturers. Its goal is to deliver personalized, connected care across the entire, sometimes disjointed healthcare ecosystem. Why Use Salesforce Health Cloud? Salesforce Health offers benefits to various stakeholders within the healthcare industry, including providers, payers, manufacturers, and research organizations. In a challenging healthcare landscape, Health Cloud addresses concerns such as managing complex patient data and enhancing patient experiences effectively. Success stories from organizations like New England Biolabs and John Muir Health highlight the impact of Health Salesforce in streamlining operations, improving customer satisfaction, and enhancing care coordination. Despite its transformative potential, widespread adoption and success require rebuilding patient trust, delivering empathetic care, and prioritizing data security. Tools like Health Cloud play a crucial role in achieving these goals. The Health Cloud Data Model Central to Salesforce Health is the flexible Health Cloud Data Model, built atop the Salesforce Platform. This model organizes diverse healthcare data sources, leveraging standard objects like Accounts and Contacts alongside custom objects tailored for healthcare applications. The data model revolves around organizing data around the patient, providing care teams with a holistic view for informed decision-making and personalized care. It supports interoperability and adheres to healthcare data standards like HL7 and FHIR, enabling seamless integration with EHRs and other healthcare applications. Key Features of Salesforce Health Salesforce Health Cloud offers a suite of robust features, including: Patient 360: Provides a unified view of the patient, consolidating demographics, clinical data, and interactions for informed decision-making and personalized care. Care Plans: Enables care teams to create, track, and manage personalized care plans, incorporating goals, tasks, and milestones to monitor patient progress. Care Coordination: Facilitates collaboration among care teams, supporting secure messaging and information sharing across providers. Health Timeline: Offers an interactive visualization of a patient’s medical history, including encounters, lab results, and medications, aiding in understanding and decision-making. Einstein Analytics for Healthcare: Utilizes AI to deliver advanced insights and predictions, empowering organizations to enhance patient outcomes and operational efficiency. Patient 360 for Health In addition to existing features, Salesforce introduces new innovations under Patient 360 for Health, powered by AI. These updates include: Advanced Therapy Management: Streamlines treatment processes for pharmaceutical companies, offering full visibility into patient treatment. Salesforce Genie for Healthcare: Integrates real-time clinical and non-clinical data to create comprehensive patient profiles. AI-Supported Health Timeline: Enhances navigation and accessibility of patient records and journeys through AI. Home Health: Automates intake and scheduling for in-home treatment, optimizing patient preferences. Data Cloud for Healthcare: Connects clinical and non-clinical patient data from multiple sources into a real-time patient profile. MuleSoft Direct for Health Cloud: Provides out-of-the-box connectors to access EHR data, facilitating smoother integration. Tableau Accelerators for Health Cloud: Offers ready-to-use dashboards for various use cases, empowering teams with data-driven insights. Integration With MuleSoft Salesforce Health seamlessly integrates with MuleSoft, enabling organizations to connect with existing EHRs, billing systems, and healthcare applications. MuleSoft’s Anypoint Platform provides pre-built connectors and APIs to simplify integration and unlock the full potential of healthcare data. Salesforce Health Cloud is not only a powerful platform for healthcare organizations but also a catalyst for positive change in patient care and operational efficiency. By leveraging HC’s capabilities, healthcare organizations can deliver exceptional patient experiences, streamline processes, and ensure data security and compliance. With continuous integration and innovation within the Salesforce ecosystem, Health Cloud remains positioned to drive transformative change in the healthcare industry, addressing challenges and paving the way for a brighter future in healthcare. Considering Salesforce Health Cloud for your practice? Contact Tectonic today. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. 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May 4, 2023in Data, Mulesoft, Salesforce, Salesforce Health Cloud, Technology
Salesforce Managed Services
08Apr

Confidential Computing

Confidential computing is a technology that protects data in use by isolating and encrypting it within a secure hardware-based environment, preventing unauthorized access or modification, even by cloud providers.  Details: Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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April 8, 2023in Data, Google, Technology
Sales Cloud Einstein
15Feb

Einstein GPT from Salesforce

Salesforce, the leading global CRM provider, has unveiled Einstein GPT, the world’s first generative AI CRM technology. Engineered to craft personalized content across sales, service, marketing, commerce, and IT interactions, Einstein GPT aims to enhance employee productivity and elevate customer experiences. While Salesforce had previously integrated AI into its ecosystem with Einstein AI, the introduction of Einstein GPT represents a notable advancement. Leaning on OpenAI’s capabilities, Einstein GPT is an empowered iteration of existing technology, aligning with Salesforce’s commitment to artificial intelligence technology adoption. Einstein GPT from Salesforce Einstein GPT operates as an open and extensible platform, leveraging trusted, real-time data for training. It facilitates public and private AI models tailored for CRM, integrating seamlessly with OpenAI to offer generative AI capabilities. This enables users to connect data to OpenAI’s advanced models or choose external models, employing natural-language prompts within Salesforce CRM for content generation that dynamically adapts to evolving customer information and needs. The technology infusion of Einstein GPT involves combining Salesforce’s proprietary AI models with generative AI tech from an ecosystem of partners and real-time data from the Salesforce Data Cloud. This combination allows the generation of personalized content, including emails for sales, responses for customer service, targeted content for marketers, and auto-generated code for developers. The collaboration with OpenAI extends Salesforce’s capabilities by merging OpenAI’s enterprise-grade ChatGPT with Salesforce’s private AI models. Additionally, Salesforce Ventures announced the Generative AI Fund. This is a 0 million investment initiative supporting startups to foster responsible, trusted, and generative AI development. Einstein GPT introduces various applications, such as Einstein GPT for Sales, Service, Marketing, and Developers. These applications empower users to auto-generate things they used to have to write. Sales tasks, enhanced customer service interactions, dynamically created personalized content, and improved developer productivity through an AI chat assistant. To further enhance collaboration, Salesforce and OpenAI introduced the ChatGPT for Slack app. Thus offering AI-powered conversation summaries. The research tools and writing assistance within the Slack platform are aided by Einstein.. Prominent organizations like HPE, L’Oréal, RBC US Wealth Management, and S&P Global Ratings have acknowledged the value of generative AI. They are all improving customer engagement. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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February 15, 2023in Artificial Intelligence, Data, Enterprise, Generative AI, Salesforce, Salesforce Data Cloud, Technology
gettectonic.com