3/25/2026 · 1 min read
aiai-agentsenterprise-aiautomationpractitioner-guidelessons-learned
This article provides a practitioner's guide to building and deploying AI agents within enterprise environments. It offers valuable lessons and insights for navigating the rapidly evolving 'agentic era' of artificial intelligence.
Sources & Further Reading
Salesforce Senior Software Engineer Anchal Nigam engineers new capabilities in Prompt Builder to ground enterprise AI with live external data. This innovation enables verifiable citations, enhancing the accuracy and trustworthiness of AI prompts.
This article highlights how Salesforce's Agentforce initiative, specifically the Customer Footprint for Deal Agent, has automated crucial customer data insights. It discusses how this innovation drastically cut manual work by 90% for a unified view of revenue-generating products and contracts.
This MuleSoft blog post highlights the critical role of speed and scalability in AI development. It suggests that MuleSoft's custom connector, template, and Exchange reuse features are key to meeting these demands.