Enterprise General Intelligence (EGI) is a concept introduced by Salesforce to describe a new class of AI systems tailored specifically for business applications. Unlike the speculative notion of Artificial General Intelligence (AGI), which envisions machines surpassing human intelligence across all domains, EGI focuses on delivering practical, reliable, and consistent AI solutions within enterprise environments. It embodies the idea of AI systems that are both highly capable and consistently dependable, ensuring seamless integration with existing business processes and technologies.

At the heart of EGI lies the Capability-Consistency Matrix, a framework that evaluates AI systems based on two critical dimensions:

• Capability: This refers to the AI’s ability to handle complex business tasks, adapt to changing conditions, and align with organizational goals. An EGI system should be adept at navigating intricate workflows, interfacing with various technologies, and synthesizing information to support decision-making.

• Consistency: Beyond just performing tasks, an EGI system must do so reliably and predictably. Consistency ensures that the AI delivers accurate results, adheres to governance frameworks, and integrates smoothly with existing systems, thereby building trust among users.

Salesforce emphasizes that EGI is not about groundbreaking, flashy innovations but rather about “boring breakthroughs”—incremental yet impactful improvements that enhance business operations over time. By focusing on both capability and consistency, EGI aims to provide AI solutions that are not only powerful but also trustworthy and aligned with enterprise needs.

In practice, EGI leverages tools like Salesforce’s Data Cloud, Retrieval-Augmented Generation (RAG), and the Atlas Reasoning Engine to provide AI agents with real-time access to business knowledge, enabling them to understand context, reason through complex scenarios, and take informed actions. Rigorous testing and evaluation frameworks, such as agentic simulation testing, are employed to ensure these AI systems perform reliably in real-world business environments.

In essence, Enterprise General Intelligence represents a shift towards AI systems that are purpose-built for the nuanced demands of the business world, prioritizing dependable performance and seamless integration over speculative capabilities.