Salesforce and Accenture collaborate to accelerate the deployment of generative AI for CRM

Salesforce, a leading provider of customer relationship management (CRM) solutions, has announced a new collaboration with Accenture, a global professional services company. The partnership aims to accelerate the deployment of generative AI for CRM, enabling companies to increase employee productivity, improve customer experiences, and transform the way they interact with customers. The project is set to leverage new accelerators for Salesforce’s existing Einstein GPT generative AI technology, user interfaces, and automated processes to increase productivity and profitability.

Benefits of generative AI for CRM

Generative AI, also known as natural language processing (NLP), has enormous potential to transform the way companies interact with their customers, tailor customer experiences, and drive business growth. With generative AI, businesses can automate and streamline customer service calls, accelerate lead generation, and may even facilitate earlier interventions to address potential issues before they become problems.

According to a recent survey conducted by Salesforce, “Generative AI in IT,” over 84 percent of senior IT leaders believe that generative AI can significantly enhance the customer experience. Businesses utilizing generative AI will also benefit from the solution’s unique ability to create more personalized experiences for customers faster, and to capture valuable feedback from customer interactions.

Adoption of generative AI

The benefits of generative AI are driving a growing number of businesses to experiment with or actively utilize the technology in their operations. According to the same survey by Salesforce, more than half of the respondents are already experimenting with or actively using generative AI in their businesses, with demand set to grow substantially over the next few years.

Accenture’s Generative AI and Large Language Model (LLM) Center of Excellence

As part of the collaboration, Accenture will provide customized AI strategies to help businesses effectively deploy generative AI and take full advantage of its potential benefits. The solutions will leverage new accelerators for Einstein GPT to speed up the adoption process and ensure fast and effective results.

Accenture’s Generative AI and Large Language Model (LLM) Center of Excellence will lead the development of new AI models and strategies tailored to specific industries such as public sector services, manufacturing, health, and financial services. By combining Accenture’s extensive industry experience and Salesforce’s technological expertise, they aim to provide customers with agile, industry-specific strategies for leveraging generative AI to solve their business challenges.

Initial use cases: sales and service focus

As part of the collaboration’s initial use cases, the focus will be on sales and service operations. Customers will benefit from the creation of personalized, conversational interfaces that can accelerate lead generation, streamline customer service, and free up employees to focus on higher-value projects.

Industry-specific AI models

The collaboration between Salesforce and Accenture is focused on developing a range of industry-specific AI models to help businesses meet specific challenges and create more personalized experiences for their customers. The public sector, manufacturing, health, and financial services industries are the first to be targeted, with additional industries expected to be added shortly to provide comprehensive solutions.

Leveraging Data Cloud

Another key aspect of the collaboration is a focus on leveraging Data Cloud to gain additional insights and enhance the customer experience. As part of the project, the collaboration will explore how generative AI can create more personalized experiences for customers faster by utilizing the data available on the platform.

Advantages of collaboration

By combining Accenture’s industry experience with Salesforce’s technology, the collaboration aims to help customers solve problems with generative AI faster and more effectively than ever before. This will lead to increased efficiency, productivity, and profitability across businesses as they adopt generative AI. The partnership’s focus on developing industry-specific AI models and customized strategies will also provide customers with agile and specific solutions to their business challenges.

The collaboration between Salesforce and Accenture is set to accelerate the deployment of generative AI for CRM, enabling businesses to increase employee productivity, improve the customer experience and transform the way they interact with their customers. With Accenture’s Generative AI and Large Language Model Center of Excellence, specific solutions and strategies will be developed to meet the unique challenges of industries such as public sector services, manufacturing, health, and financial services. With the potential to create more personalized experiences faster by leveraging data available through the Data Cloud platform, businesses are set to benefit from the collaboration’s focus on speeding up the adoption of generative AI and providing bespoke solutions to their business challenges. The success of the partnership is expected to drive expanded adoption of generative AI, as businesses look to adapt to the current trends of digital transformation and improved customer experience.

Explore more

AI Growth Strains Global Power Grids and Infrastructure

The relentless expansion of large language models and neural processing units has pushed the global appetite for electricity to levels that were previously unimaginable just a few years ago, forcing a direct confrontation between the digital frontier and the physical limits of our power grids. This surge in consumption is transforming the once-invisible processes of the cloud into a massive

How Is Data Reshaping the Future of Wealth Management?

The traditional wealth management model of reviewing static quarterly reports has effectively collapsed under the weight of real-time global economic shifts and the rise of sophisticated algorithmic trading. Investors now demand an immediate understanding of how geopolitical ripples affect their specific holdings. This marks the end of “wait-and-see” strategies, replaced by a landscape where a single data point can pivot

How Can Swiss Wealth Managers Survive an Identity Crisis?

The hallowed halls of Zurich and Geneva, once shielded by an impenetrable veil of banking secrecy, are witnessing a tectonic shift where quiet discretion is no longer a sustainable business model for survival. For generations, the Swiss wealth management sector thrived on a reputation for stability and confidentiality that required very little in the way of active marketing or brand

The Singapore-AIFC Corridor Redefines Eurasian Wealth Management

The vast geographic stretch once defined by the rugged terrain of the ancient Silk Road is witnessing a tectonic shift as private capital migrates from traditional vaults in Europe toward a sophisticated new nerve center in the heart of Central Asia. This movement is not merely a regional adjustment but a fundamental reconfiguration of how wealth is institutionalized across the

Uniper Cuts Hiring Time by 27 Days Using New AI Agents

To ensure the AI provided actionable intelligence rather than generic feedback, Uniper focused on grounding the system in live operational data instead of isolated human resources records. The energy giant realized that the traditional talent acquisition cycle was failing to keep pace with the rapid shifts in the 2026 energy market. By deploying sophisticated AI agents, the company moved beyond