Salesforce Einstein is not named after the great physicist by chance. You all know how his genius unraveled the mysteries of the universe.
In the same way, Salesforce Einstein also uses artificial intelligence to unlock the hidden potential of your customer data.
Albert Einstein once said, “The measure of intelligence is the ability to change.” And this is more than true for the Salesforce platform, which is at the forefront of innovation.
The platform has invested heavily in AI, making its capabilities integrated throughout the system.
You have probably heard the names Salesforce Einstein, Einstein Copilot, Data Cloud, and Einstein 1 Platform. Sounds overwhelming? Right, and you are not alone.
Many startups and enterprises also find themselves lost while trying to understand this landscape:
- What exactly is Salesforce Einstein?
- How is it different from Einstein Copilot?
- Where does Data Cloud fit into the picture?
- Most importantly, how can this AI technology help my business achieve its goals?
This guide is your definitive resource, your friendly expert walking you through the world of Salesforce AI.
So, let’s unlock the power of AI-driven CRM together.
Note: Remember, Salesforce evolves its products and changes names from time to time, so it’s important to keep yourself updated to avoid confusion.
For example, Einstein Copilot has been rebranded as Salesforce Agentforce with better autonomy and the ability to handle complex tasks.
What is Salesforce Einstein?
Let’s simplify it by considering your Salesforce platform your central hub for customer data, sales processes, service interactions, and marketing campaigns.
Now, fill a layer of intelligence that knows needs, predicts outcomes, recommends actions, and automates tasks. That, in essence, is the role of Einstein.
Einstein as Salesforce’s Core AI Technology
Salesforce Einstein is not a standalone product. It represents Salesforce’s comprehensive AI technology deeply integrated across the Customer 360 platform.
It delivers AI-powered CRM services, empowering employees to be more productive and to provide personalized customer experiences.
It’s a collection of advanced AI technologies, including:
- Machine Learning: It identifies patterns, forecasts outcomes, and gives insights.
- Deep Learning: Utilizes more complex neural networks for tasks such as image recognition and advanced pattern analysis.
- Natural Language Processing: Understands and processes human language, including email sentiment analysis, case classification, and chatbots.
- Generative AI: Involves creating new content, summarizing information, writing emails, and developing conversational AI experiences.
Salesforce Einstein 1 Platform: Unifying Data + AI + CRM
Salesforce’s vision for the future is embodied in the Einstein 1 Platform.
This isn’t just a rebranding; it represents a fundamental architectural shift to integrate three critical components seamlessly:
- CRM: Your core Salesforce applications. The Sales Cloud, Service Cloud, Marketing Cloud, etc.) –where work gets done.
- Data Cloud: The engine that connects and harmonizes all your customer data. This is the essential fuel for AI.
- Einstein: This intelligence layer makes predictions, automations, and recommendations, and generates content.
Einstein vs. Einstein Copilot vs. Data Cloud
This is where many users understandably get tangled. Let’s break down these distinct but interconnected components with clear definitions and relationships.
Think of them as different players on the same team, each with a specialized role, working together under the Einstein 1 Platform strategy.
Component | Primary Role | Key Functionality | Analogy |
---|---|---|---|
Data Cloud | Data Foundation / Unifier | Connects, harmonizes, and activates customer data from all sources (Salesforce, external, real-time streams). | The Central Library |
Salesforce Einstein | Core AI Engine / Intelligence Layer | Analyzes unified data; runs predictive & generative models; delivers insights, predictions, and automation logic. | The Research Team |
Einstein Copilot | Conversational AI Assistant / User Interface | Uses Einstein’s AI; interacts with users via natural language; performs tasks, summarizes data, and generates content. | The Helpful Librarian/Guide |
Salesforce Einstein AI Features
Now, if you are still reading, you might be getting the point; Einstein’s intelligence is not limited to a particular product but is embedded across the entire platform.
Here is a description of the Einstein AI features on the Salesforce platform.
Einstein for Sales Cloud
It is common in businesses that sales representatives spend their time on non-sales activities. They spend most of their time on administrative tasks and preparing emails.
But with the help of Einstein for Sales Cloud, they can automate their tasks, prepare personalized emails, and sales pitches.
This way, they become more efficient, focused, and successful sales representatives for their firms.
Some of the features of Sales Cloud Einstein
- Predictive lead scoring: It analyzes a company’s past lead scoring data and identifies patterns. These patterns can help tailor lead scoring based on how likely they are to convert into opportunities. This can help the sales team reduce the time wasted on unqualified leads and increase conversion rates.
- Automatic Contact Enhancements: The Einstein generative AI automatically extracts information like phone, title, address, department, etc., from email interactions. This helps build a content-rich contact profile that can help close more deals.
- Sales Calls Summaries: The sales voice and video calls are used to create summaries with Einstein Conversation Insights. This helps the sales teams to better collaborate in the workflow and have critical information about the next steps.
- Einstein Sales Coach: The generative AI helps sales reps by giving them personal and actionable feedback on their sales pitch.
- Einstein Sales Emails: With the help of Einstein generative AI, personalized emails can be curated and sent to contacts and leads.
- Sales Summaries: Einstein AI can generate sales summaries for any account, contact, lead, or opportunity.
Einstein for Service Cloud
Service agents are busy performing non-consumer-facing tasks, which impact the business’s service quality. Einstein service features can help make the service agents smarter and more efficient.
- Einstein AI-generated search Answer: A user can solve their questions or queries by using the global search bar. The Einstein GPT generative AI can tailor the response by extracting the information from knowledge articles or other sources.
- Service AI Grounding: The grounding helps provide tailored customer communication. The Einstein AI draft responds to customers using indexed objects and fields.
- Generative AI Surveys: Create tailored surveys according to your diverse needs. The AI can make it faster and more globally friendly.
- Knowledge Creation: Curate and draft articles based on customers’ conversations. Einstein AI for service cloud uses this data to make articles that provide relevant information. Service agents can review, edit, and save it, optimizing both their efficiency and productivity.
- Service Replies: Based on past customer conversations, the AI chatbot can handle customer queries. It can draft relevant responses to complex customer problems, optimizing the agent’s productivity.
Einstein for Marketing Cloud
Marketers could deliver personalized and relevant experiences to customers with Einstein AI’s help.
Marketing Cloud Einstein can help with insights to understand the audience and automate tailored interactions.
- Einstein Assistant: With Einstein Assistant, you can create copies for landing pages, personalized emails, and messages for your marketing campaigns.
- Segment Creation: Create a relevant target audience for your marketing campaigns using Einstein. This can reduce costs and improve the efficiency of the campaign.
- Segment Intelligence: This tool helps marketers understand campaign performance through valuable insights, allowing them to better optimize their campaigns based on a specific audience segment.
Einstein for Commerce Cloud
Einstein AI for Commerce Cloud can help online retailers create a smarter and more engaging shopping experience.
The Commerce Cloud Einstein can help in product recommendations, product descriptions, and more. The common features offered by Einstein for Commerce Cloud.
- Return Insights: The Einstein AI gathers and analyzes the store data and finds the frequently returned products.
- Product Descriptions: Writing product descriptions is easier than ever. The store manager can easily curate product descriptions with the help of Einstein for Commerce Cloud.
- Semantic Search: ‘No result found’ page increases the store’s bounce rate. But Einstein AI semantic search reduces it and makes it easier for customers to find a product. You can use synonyms, alternate spellings, typos, and product themes to find the relevant product.
- Commerce Concierge: Improve the shopping experience of customers by assisting them through their buying journey with the help of Einstein GPT, generative AI, and large language models.
The Einstein Trust Layer
Businesses can greatly benefit from generative AI, but trusting your company’s data to it can be tough.
Salesforce Einstein recognizes the critical importance of deploying AI responsibly and ethically.
With the Einstein Trust Layer, you can be sure of the security and privacy of your company’s data. This platform is built on a secure AI architecture on the Salesforce platform.
If you want to know how the Einstein Trust Layer works, let’s look at the workflow starting with a prompt. You can create a prompt from any Salesforce CRM app.
The diagram below shows the functioning of the Einstein Trust Layer.
Secure Data Retrieval & Dynamic Grounding
The first step in this process is secure data retrieval. The LLM takes reference from the CRM data to get a more tailored response from the AI.
This is known as grounding. The data retrieval process works securely because it only retrieves information as per the executing user’s access permission.
Data Masking For LLM
The Einstein trust layer detects sensitive data through two methods: pattern-based and field-based.
After identifying the sensitive data, it is then masked and secured from being exposed to the external models.
Prompt Defence
LLMs can generate unintended responses that can be harmful.
But, with system policies, Einstein Trust Layer gives instructions to LLMs on how to behave in a certain manner and build trust with the user.
Zero Data Retention
Salesforce has made it clear that they have a zero data retention policy. This means prompts and responses are not stored by a third-party LLM provider.
Toxicity Detection
To prevent the harmful, biased, or inappropriate content from being presented to the user. It is detected for its toxicity. Meanwhile, a toxicity score is given to the generated content.
Einstein Copilot is Now Rebranded as Agentforce
Salesforce has officially rebranded Einstein Copilot as Agentforce at its Dreamforce 2024 event. The launch of Agentforce marks Salesforce’s ambitions to revolutionize the CRM landscape with AI.
Agentforce lets businesses create AI agents for various roles. These agents work autonomously in service, sales, marketing, and more, handling complex tasks.
Let’s see what it is capable of with the help of its LLM.
- The Service Agent handles customer questions without needing pre-written answers. It can solve many issues on its own, making customer service faster.
- The Sales Development Representative works all day and night. It talks with potential customers, answers their questions, and sets up meetings. This gives your sales team more time for building relationships.
- Sales Coach helps your team practice selling. It creates custom role-play sessions based on your company’s data, so sellers can get better at handling real sales situations.
- Campaign Optimizer handles marketing campaigns from start to finish. It analyzes data, creates content, and fine-tunes campaigns to meet your business goals.
Finally, Agentforce helps employees with daily tasks. It finds information, plans actions, and carries them out to make work more efficient.
All these solutions use AI to make business processes simpler and more effective.
Salesforce Einstein Pricing
If you have already subscribed to the unlimited Salesforce pricing license, then you can access both Sales Cloud Einstein and Service Cloud Einstein features.
Apart from this, users who are not subscribed to the unlimited license can go for the Einstein for service and sales at just $75 per user per month.
Disclaimer: Prices are subject to change and may vary by region. Check the Salesforce website for the latest pricing.
Conclusion
Salesforce Einstein brings smart technology directly into your everyday CRM tools. You will not only see state-of-the-art features but also practical help that makes your team more effective.
The sales team doesn’t have to identify the hottest leads; Einstein for Sales will do it for you. Customer issues will be resolved faster with the assistance of Einstein for Service.
Moreover, personalized marketing will be handled by Einstein for Marketing, and there will be an intelligent assistant that understands your business.
All while keeping your data secure and making sense of customer information across all touchpoints.
The question isn’t whether AI can help your business but how quickly you’ll start using it to pull ahead of competitors.
Support
- Ready to see what Einstein can do for you? Contact us today to learn how these tools can solve your specific challenges.
- Raise a ticket and let us help you strategize, implement, and optimize Einstein AI to your business advantage.