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Salesforce Einstein and Einstein Automate
04Dec

Say Hello to Einstein Automate

Einstein Automate is a robust end-to-end automation solution within Salesforce, offering increased productivity benefits for individuals, account executives, and businesses alike. A central element, Salesforce Flow, transforms business processes by facilitating seamless interactions for both customers and employees. The incorporation of Flow Builder ensures the creation of automated business processes is both easy and efficient, enabling streamlined enterprise-scale automation from testing to monitoring. With low to no code potential. Salesforce Flow distinguishes itself with user-friendly features, employing easy-to-use visual elements and reusable building blocks. Combined with Automate, enables the creation of large-scale automations within Salesforce. The solution bridges disconnected systems and integrates siloed data sources into a cohesive workflow, leading to improved customer experiences and enhanced business agility through guided interactions for the sales team. Sales reps are engaged in non-selling activities up to 66% of the work day. That’s totally no bueno. Get them back on track and shorten sales cycles with Einstein Automate. The introduction of Einstein Automate from Salesforce brings notable benefits. Studies reveal that automating manual processes with tools like Salesforce Flow and Automate saves employees four hours per week, enabling a shift of focus toward higher-value, deal closing tasks. Einstein Automate facilitates the automation of repetitive tasks, provides self-service portals, guides employee workflows, and activates intelligent recommendations for next-best actions on leads and accounts. The platform offers reusable building blocks, including logic, data, action, and screen components, which can be employed to construct business logic. Automate enables the creation of workflows across Salesforce and external systems, utilizing platform events, External Services, and MuleSoft. Screen flows can be designed to guide user interactions and collect user inputs. Einstein Automate streamlines process lifecycle management, encompassing low-code debugging, troubleshooting, performance monitoring, and usage analysis. Businesses can benefit from pre-built automation components and configure industry best practices through Salesforce’s AppExchange of pre-built solutions. One great feature is Einstein Automated Contacts. As a comprehensive add-on solution for Salesforce, Einstein Automate empowers businesses to improve productivity, efficiency, and customer experiences by seamlessly automating manual processes. For a deeper understanding of how Salesforce’s Einstein Automate and Flow can optimize your Salesforce instance, connect with Tectonic. We predict there are great things on the Salesforce road map for Einstein Automate and Flow. Content updated June 2025, Shannan Hearne. 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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December 4, 2020in Data, Einstein 1 Platform, Enterprise, Mulesoft, Salesforce, Salesforce Flow
Salesforce
10Jul

Salesforce Platform Explained

The Salesforce Platform, formerly known as Force.com, serves as the foundational framework that spans the Sales and Service Clouds, offering robust capabilities for tailoring standard Salesforce products. Within this platform, you have the flexibility to construct custom data tables using custom objects, initiate automation through Flow, and design personalized user interfaces utilizing the Lightning App Builder. Salesforce is a CRM platform and also a centralized platform for managing customer accounts, sales leads, activities, customer support cases, and more. Users can access Salesforce through a web browser, mobile app, or desktop application. Salesforce provides users comprehensive tools to manage customer data, automate processes, analyze data and insights, and create personalized customer experiences. Salesforce also offers a variety of solutions for customer service, marketing automation, commerce, app development, and more. For those seeking a wholly unique experience, the option to acquire Salesforce Platform licenses, considerably more economical than, for instance, Sales Cloud licenses, allows you to develop entirely customized applications on the Salesforce platform. What is Salesforce used for? Salesforce is used for streamlining sales, service, and marketing activities via industry-specific products. With seamless software integration. It offers solutions for various needs such as Sales Cloud, Service Cloud, Marketing Cloud, Community Cloud, Field Services, CPQ and Billing etc. Is the Salesforce platform just CRM? Salesforce has completely changed the idea of traditional CRM. It merged all the features of a traditional CRM with a bunch of new unique tools and capabilities. Thus offering its users MUCH more than ever before. Top Salesforce customers in the USA are U.S. Bank, Amazon Web Services, American Express, Walmart, and T-Mobile. Overall, more than 59% of Salesforce clients come from the USA, as for the end of 2022. Salesforce Platform Pricing – click here. The Salesforce Platform is now Einstein 1. The bold new future of enterprise AI requires a new type of platform. One that can handle terabytes of disconnected data, have the freedom to choose your AI models, and connect directly into the flow of work, all while maintaining customer trust. The Einstein 1 Platform unifies your data, AI, CRM, development, and security into a single, comprehensive platform. It empowers IT, admins, and developers with an extensible AI platform, facilitating fast development of generative apps and automation. Accelerate development and maximize your developers and admins time across workflows, app customization and configurations. Keep your data safe and sound by securing your Salesforce org with Salesforce’s portfolio of security and privacy products. Activate all your customer data across Salesforce applications at every touch point using relevant insights and contextual data in the flow of work. Content updated December 2023. 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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July 10, 2020in Data, Einstein 1 Platform, Enterprise, Marketing Automation, Salesforce, Salesforce Development Services
Salesforce BI
08Jul

Protecting Your Salesforce Data

The landscape of Salesforce has undergone significant growth beyond its humble CRM origins, yet assumptions about the data within Salesforce orgs often remain unchanged.  This is crazy when you think about the original Customer Relationship Management system and how many apps it had to connect to in order to actually manage your customer relationships.   Protecting your Salesforce data is everyone’s responsibility. It is good to rethink how Salesforce data is used, especially considering its increasing indispensability in tandem with the platform’s expansion into diverse business processes and industries. The discontinuation of Salesforce’s data recovery service further creates the need for an updated perspective. Protecting Your Salesforce Data Salesforce Backup. Protect your enterprise against data loss and corruption. Contact Tectonic today. 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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July 8, 2020in Salesforce
Salesforce Mobilepush
24Jun

Salesforce Mobilepush

Salesforce MobilePush is included in Corporate and Enterprise editions. Salesforce Marketing Cloud’s MobilePush feature powers the creation and delivery of notifications to encourage app usage. To effectively target your notifications, leverage user data from various channels. Push notifications, resembling SMS text messages and mobile alerts, are exclusive to users who have installed your app. Each mobile platform – iOS, Android, Fire OS, Windows, and BlackBerry – has its own services supporting push functionality. To send a push notification in Salesforce Marketing Cloud (SFMC), utilize the Outbound Message template in MobilePush. You can send push messages to mobile devices based on demographic attributes, including rich media content like images or videos. Push notifications operate as brief messages sent directly from app publishers to users’ mobile devices. Users don’t need to actively use the app or their phones to receive these notifications. They serve as a prompt and efficient means for brands to convey important information. In Salesforce, you can employ push notifications to notify sales managers of changes in opportunities or alert service agents to cases requiring immediate attention. These notifications can be configured for any object based on criteria set up in Salesforce Flow automation. The key distinction between a push notification and an app notification lies in their impact on users. A push notification brings users to the application, initiating engagement, while an in-app notification guides users within the app. The working principle is that push notifications can be received at any time, while in-app notifications are effective only when the application is open. 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 24, 2020in Salesforce
14Apr

AI in Sales Enablement

automation, and personalization to enhance sales processes, increase customer engagement, and drive revenue growth. Companies are working with AI to improve analysis of all customer contact points to both identify leads and weigh lead quality. That includes ingesting information from web pages, email campaigns, phone calls, and much more.

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April 14, 2020in Artificial Intelligence, Data, Einstein 1 Platform, Einstein Insights, Enterprise, Generative AI, Google, Salesforce, Salesforce Einstein, Technology
Salesforce Document Generation
18Jul

Generating Documents in Salesforce

Salesforce document generation poses a challenge for businesses, given the intricacies of integration involved. Fortunately, a variety of tools are available for generating documents in Salesforce, and Tectonic is well-equipped to assist in their successful implementation. Salesforce Industries Document Generation empowers businesses to craft and manage accurate documents linked to standard Salesforce objects, encompassing contracts, opportunities, orders, quotes, and custom objects. For a more dynamic approach, Salesforce OmniStudio Document Generation facilitates the creation of documents using Microsoft Word and Microsoft PowerPoint templates. These templates can incorporate values from any JSON-based data within the text, including data sourced from various Salesforce objects. This versatile tool enables the generation of contracts, proposals, quotes, reports, non-disclosure agreements, service agreements, and more. Salesforce Industries Document Generation seamlessly integrates with Vlocity Insurance, Vlocity Health, communications, media, energy, utilities, government, and beyond. Vlocity Analytics, another valuable component, offers pre-built measurement tools that seamlessly integrate with Salesforce Reports, Dashboards, and Einstein. The Salesforce AppExchange boasts an extensive array of over 200 document generation tools. Your Salesforce partner can assist in selecting, installing, and implementing the most suitable options based on your business requirements. With Document Generation, you can generate contracts, proposals, quotes, reports, non-disclosure agreements, job offers, service agreements, and so on. You can generate documents using the specified sample client-side or server-side OmniScripts. You can also create your own OmniScripts by cloning and customizing the sample OmniScript to generate documents. Client-Side document generation is a synchronous process that results in a downloadable preview of the generated documents. You can generate documents from Microsoft Word (.docx), Microsoft PowerPoint (.pptx), and Web templates. These templates can include values from any JSON-based data in the text, including data from any Salesforce object. You can optionally convert the resulting documents to .pdf format. Server-Side document generation is available in both the OmniStudio Foundation and Salesforce Industries packages. Server-Side document generation is an asynchronous process that’s best for large and rendering-heavy documents and for document generation in batches. The Server-Side document generation service is secure and scalable and is hosted on Salesforce Hyperforce. The generated document is stored in your Salesforce org, and is attached to the object for which it’s generated. You can use Apex Classes, sample Integration Procedures, or a sample OmniScript to generate documents. Client-Side document generation supports Customer Community Plus, Customer Community, and Partner Community users to generate documents using client-side OmniScripts. Server-Side document generation supports Customer Community Plus, Customer Community, and Partner Community users to generate documents using the singleDocxServersideLwc server-side OmniScript. With the right licenses, Document Generation is available in the Salesforce Industries package. Metering measures resource utilization levels and throttling controls resource access and use based on defined rules. Metering measures the number of server-side documents that are generated by an org hourly and daily. The default hourly and daily limits for processing server-side document generation requests are 1,000 per org and 24,000 per org respectively. Throttling maintains consistency and resilience of the server-side document generation service by managing incoming server-side document generation requests from multiple orgs. Throttling can also prevent service degradation caused by high volume of requests at peak hours by blocking requests that exceed the default limits. The request details are saved in the Document Generation Processes entity. You can retrieve the blocked requests and later retry the server-side document generation. No matter what your specific document generation needs, Tectonic simplifies the process of getting your system up and running seamlessly, whether it’s through Salesforce Quickstarts or comprehensive implementation services. Content updated in 2February 2024, Shannan Hearne. 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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July 18, 2019in Data, Hyperforce, Salesforce, Salesforce Reports, Salesforce Sales Cloud, Salesforce Service Cloud
AI-driven propensity scores
20May

AI-Driven Propensity Scores

AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables through machine learning, without explicit programming. This insight has gone through numerous updates as the information and use of AI-driven propensity scores evolved. In many cases, writers give a brief overview of the what of a tool. Today, we are going way beyond “what the sausage tastes like” to “how the sausage is made” Tectonic hopes you will enjoy learning how propensity models and AI driven propensity scores improve your data. Propensity Model in Artificial Intelligence: Propensity modeling generates a propensity score, representing the probability that a visitor, lead, or customer will take a specific action. For instance, a propensity model, using data science or machine learning, can help predict the likelihood of a lead converting to a customer. AI-driven propensity scores take an existing data model and improve its predictions, speed, and analysis with AI. Propensity Score in CRM: In CRM, a propensity score is the model’s probabilistic estimate of a customer performing a specific action. Grouping customers by score ranges allows for effective comparison and analysis within each bucket. Enhancing Propensity Modeling with AI: Traditional statistical propensity models might lack accuracy, but integrating machine learning technologies, as demonstrated by Alphonso, can significantly optimize ad spend and increase prediction accuracy from 8% to 80%. That’s a whopping 72% improvement. Propensity Modeling Overview: Propensity modeling involves predictive models analyzing past behaviors to forecast the future actions of a target audience. It identifies the likelihood of specific actions, aiding in personalized marketing. Role of Machine Learning in Propensity Models: Propensity models rely on machine learning algorithms, acting as binary classifiers predicting whether a certain event or behavior will occur. Logistic regression and Classification and Regression Tree Analysis are common methods for calculating propensity scores. Characteristics of Effective Propensity Models: For robust predictions, propensity models should be dynamic, scalable, and adaptive. Dynamic models adapt to trends, scalable for diverse predictions, and adaptive with regular data updates. Propensity Modeling Applications: Propensity models find applications in predicting customer behavior, such as purchasing, converting, churning, or engaging. Real-time predictions, data analysis, and AI integration contribute to successful implementations. AI-driven propensity scores are extremely useful in that they can be coupled with many other models to give additional insights to your data. Types of Propensity Score Models: Various models include propensity to purchase/convert, customer lifetime value (CLV), propensity to churn, and propensity to engage. Combining models can enhance the effectiveness of marketing campaigns. When to Use Propensity Scores: Propensity scores are beneficial when random assignment of treatments is impractical. They help estimate treatment effects in observational studies, providing an alternative to traditional model-building methods. Limitations of Propensity Score Methods: While propensity scores help achieve exchangeability between exposed and unexposed groups, they do not claim to eliminate confounding due to unmeasured covariates. Findings from observational studies must be interpreted cautiously due to potential residual confounding. Content updated October 2021. Content updated February 2025. Like3 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 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 20, 2019in Artificial Intelligence, Data, Salesforce, Salesforce Einstein
Financial Services Sector
13May

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 Services Cloud with Einstein Analytics. This amalgamation, known as Einstein Analytics for Financial Services, harnesses Salesforce’s robust query engine and interpretation layers, fueled by the enterprise data analytics prowess acquired through BeyondCore in 2016. Salesforce Unites Einstein Analytics with Financial CRM This integrated platform – Salesforce Unites Einstein Analytics with Financial CRM – offers two prebuilt analytical models, meticulously designed to gauge client churn (identifying clients at risk of leaving) and the potential for clients to bring additional assets to a firm. These models, while prepackaged, can be tailored to specific needs, providing insights into future scenarios within the firm. Advisors can leverage these models to assess client characteristics against firm-wide benchmarks and receive actionable suggestions to enhance client retention. Home office professionals and data scientists have the option to delve into the underlying mathematical frameworks of these models, allowing for customization if required. While the tool offers enterprise-level benchmarking, firms can incorporate their own industry-specific data to run the models, ensuring tailored insights. This initiative builds upon previous endeavors integrating machine learning into Financial Services Cloud, which aimed to identify crucial life events and offer actionable recommendations. The decision to develop a more holistic solution stemmed from observing customer behavior and the growing trend of custom dashboard creation. By streamlining and prepackaging these insights, Salesforce aims to accelerate adoption and empower users to focus on their core tasks. Although customization remains a key feature, the platform aims to simplify adoption by providing templated solutions. However, the efficacy of insights depends on the quality of the ingested data, emphasizing the importance of data aggregation and normalization. Future updates are expected to introduce additional machine learning models focused on reducing heldaway assets and increasing assets under management. Developed in collaboration with diverse stakeholders, ranging from enterprise financial advisors to firms of varying sizes, the service is priced at $150 per user per month. It’s not a standalone product and requires integration with Financial Services Cloud or Einstein Analytics Plus. 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 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 13, 2019in Data, Einstein Insights, Enterprise, Google, Salesforce, Salesforce Financial Cloud, Salesforce Financial Services Solutions
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