Salesforce launches Einstein Copilot and Copilot Studio

During Dreamforce this week, Salesforce announced new copilot tools for its AI model Einstein, helping bolster productivity

To be released this Autumn, Einstein Copilot will serve as an AI assistant that is available for CRM tasks, while the Copilot Studio will enable development of AI-powered apps with custom prompts, skills, and AI models.

With an estimated 45 per cent of executives increasing AI investments and early adopters already driving value, according to Gartner, there is evident demand to be met for more customisation in the productivity tool space.

The new offerings will come with Salesforce‘s ‘Einstein Trust Layer’ — an architecture natively built into the Salesforce Platform to mitigate risk of exposure of customer data.

“The reality is every company will undergo an AI transformation to increase productivity, drive efficiency, and deliver incredible customer and employee experiences,” said Marc Benioff, chair and CEO of Salesforce.

“With Einstein Copilot and Data Cloud we’re making it easy to create powerful AI assistants and infuse trusted AI into the flow of work across every job, business, and industry. In this new world, everyone can now be an Einstein.”

Einstein Copilot

Built into every Salesforce application, the new Einstein Copilot will allow customer-facing employees to ask questions in natural language, and receive answers based on proprietary company data from Salesforce Data Cloud.

The copilot will span Marketing, Commerce, software development and other cloud spheres offered by Salesforce.

Possibilities for the tool explored by Salesforce developers during testing include generating digital storefronts, drafting custom code, or creating data visualisations, based on queries.

Additionally, the tool can proactively offer options for additional actions beyond the user’s prompt, examples being a recommended action plan after a sales call, or creating a new service knowledge article.

Einstein Copilot Studio

Meanwhile, the Copilot Studio will feature an array of outlets for the AI model to learn, based on the user’s needs.

AI assistants will be able to be tailored with relevant prompts, skills, and AI models to accomplish specific sales, service, marketing, commerce, and IT tasks.

The suite will include a Prompt Builder for building, testing and deployment, that can align with brand and communication style, all without requiring deep technical expertise; and a Skills Builder that can create custom AI-driven actions that complete specific tasks.

KPMG: a case study in professional services

With professional services firms looking to increase their investment in AI capabilities, KPMG has been cited as an early adopter of Gen AI offerings from Salesforce, allowing for personalised client experiences.

“We see AI as significant as the cloud. KPMG’s US team has led the way in leveraging
Salesforce’s suite of products and we see an opportunity for AI to improve the client experience for all KPMG clients globally,” said KPMG’s national managing principal, Atif Zaim.

“AI capabilities, including those provided by Einstein, can improve code quality and increase time-to-value which will unlock new opportunities and achieve growth.”

Surging AI demand

Coming alongside the launch of the Einstein 1 cloud platform, also during the Dreamforce conference, the announcement shows intent towards providing more variety regarding how users can work alongside artificial intelligence, regardless of skillset.

With this release, Salesforce follows the lead of other tech corporations including Microsoft, which began offering its own GenAI productivity copilot for its Office 365 suite back in March.


Mitigating the organisational risks of generative AIRisks including bias and hallucinations abound across generative AI projects. Jeff Watkins explains how businesses can mitigate them long-term.

Avatar photo

Aaron Hurst

Aaron Hurst is Information Age's senior reporter, providing news and features around the hottest trends across the tech industry.

Related Topics

Generative AI