Propel leverages the Salesforce platform to handle foundational infrastructure like uptime and security. This allows their team to focus entirely on the business logic layer, enabling a faster pace of innovation against legacy giants like Oracle and Siemens.

Salesforce operates under a 'Customer Zero' philosophy, requiring its own global operations to run on new software before public release. This internal 'dogfooding' forces them to solve real-world enterprise challenges, ensuring their AI and data products are robust, scalable, and effective before reaching customers.

Building a functional AI agent demo is now straightforward. However, the true challenge lies in the final stage: making it secure, reliable, and scalable for enterprise use. This is the 'last mile' where the majority of projects falter due to unforeseen complexity in security, observability, and reliability.

Becoming an "agentic enterprise" requires a foundational shift to an AI-first, conversational way of working. It involves augmenting every employee's workflow with AI assistance for faster decisions, all built upon a foundation of trusted, accessible data that powers the entire system.

Relying solely on natural language prompts like 'always do this' is unreliable for enterprise AI. LLMs struggle with deterministic logic. Salesforce developed 'AgentForce Script,' a dedicated language to enforce rules and ensure consistent, repeatable performance for critical business workflows, blending it with LLM reasoning.

Infrastructure built for app-to-app integration, like Salesforce's MuleSoft, is being repurposed to govern, orchestrate, and secure AI agents. This 'agent fabric' provides a foundational control plane for managing complex agentic workflows across the enterprise, extending the value of existing integration investments.

As autonomous agents become prevalent, they'll need a sandboxed environment to access, store, and collaborate on enterprise data. This core infrastructure must manage permissions, security, and governance, creating a new market opportunity for platforms that can serve as this trusted container.

Anthropic's new offering provides a managed 'harness' and production infrastructure, abstracting away the complex distributed systems engineering needed to run agents at scale. This allows companies to focus on their core business logic rather than DevOps, drastically reducing time-to-market for functional AI agents.

Salesforce is developing a new AI platform, codenamed Agent Albert, designed to automatically study users and take actions on their behalf. This moves beyond simple AI assistance towards an autonomous agentic system, representing the next evolution of enterprise software.