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

What Businesses Need to Know About Customer Identity Verification

Modern verification toolkits have expanded beyond simple photo ID inspections to include facial biometrics, liveness detection, and automated identity APIs. This shift occurs at a time when digital interactions represent the primary touchpoint between companies and their clientele. In an era where many customers never physically enter a store or meet a representative, the pressure to establish trust is immense.

Is AI the End of Current Blockchain Cryptography?

Current Ethereum and Bitcoin addresses that have broadcast a transaction are more vulnerable because their public keys are already visible on the ledger. This revelation has sent ripples through the cryptographic community, challenging the long-held assumption that decentralized networks would have decades to prepare for the advent of quantum-scale attacks. Instead of waiting for a physically realized quantum computer, researchers

How Is Google Cloud Redefining Legacy IT With AI?

The ability to generate business cases for cloud migration in minutes is replacing the manual spreadsheet modeling that previously slowed down IT departments. This shift marks a fundamental change in how large-scale infrastructure overhauls are perceived by the executive suite, moving away from purely technical discussions to strategic business narratives. In the current landscape of 2026, the rapid adoption of

Top Data Classification Tools and Strategies for 2026

Relying solely on automated machine learning without providing clear policy guidance often results in over-classification, making the entire security system difficult for employees to use. In the current digital landscape of 2026, data classification has transcended its origins as a back-office administrative chore to become a critical pillar of modern cybersecurity and global regulatory compliance. As enterprises manage vast petabytes

Google Updates View-Through Conversion Logic for Demand Gen

The quest for absolute clarity in digital attribution has long been the holy grail for modern marketers seeking to justify their visual media spend across expansive digital ecosystems. The change to a one-pixel threshold moves view-through metrics further away from proving active engagement and closer to measuring mere exposure. This technical adjustment, arriving as part of a broader overhaul of