Get Started with Agentforce

This section provides practical guidance for building intelligent AI agents on Salesforce’s Agentforce platform—covering agent patterns, implementation, enterprise architecture, and the full development lifecycle to help you design and deliver effective agentic solutions.

Agentic Patterns and Implementation with Agentforce provides a technical exploration of the primary types of AI agents and how to build them. This whitepaper covers:

  • Agent Taxonomy: The five core AI agent types—Conversational, Proactive, Ambient, Autonomous, and Collaborative—mapped to use case requirements.

  • CRM Use Cases: Customer Relationship Management scenarios for each agent type, with real-world business process examples.

  • Architectural Blueprints: Agentforce platform reference architectures, with technical examples across Flow, Apex, Data 360, Agent-to-Agent (A2A) communication, and Model Context Protocol (MCP) interoperability.

  • Implementation Guidance: The shift from direct manipulation to goal-oriented delegation, with patterns for agents capable of understanding, reasoning, and acting on users’ behalf.

This whitepaper is for developers and architects who want to understand the different types of agents available and how to implement them effectively on the Agentforce platform.

Enterprise Agentic Architecture and Design Patterns brings structure to multi-agent architectures using a pattern-based methodology. This document provides:

  • Design Pattern Approach: Design pattern principles for agentic solutions, aligned with object-oriented pattern concepts and focused on reliable, repeatable, scalable, and manageable architectures.

  • Multi-Agent Rationale: The rationale for multi-agent architectures, including enterprise challenges and opportunities.

  • Pattern Catalog: A collection of agentic patterns, ranging from natural language–driven intent patterns to complex multi-agent patterns with separation of concerns, and UX-focused agentic patterns for reasoning in presentation and interaction layers.

  • Pattern Components: Standard pattern elements, including component diagrams, usage recommendations, and representative use cases.

This whitepaper helps you think about agents as components, composers, actors, and collaborators within a larger architecture, enabling you to conceive rich agentic solutions that span user journeys and create experiences that were never possible before.

The Agent Development Lifecycle: From Conception to Production provides a comprehensive guide to the Agent Development Lifecycle (ADLC), a methodology tailored for building autonomous agents. This document covers:

  • ADLC Framework: The Agent Development Lifecycle in contrast to traditional Software Development Lifecycle (SDLC) methodologies, with a focus on autonomous agents and non-deterministic behavior.

  • Five Phases: The five core ADLC phases—Ideation and Design, Development (the inner loop), Testing and Validation, Deployment, and continuous Monitoring and Tuning (the outer loop).

  • Agentforce Platform: Agentforce capabilities across the full Agent Development Lifecycle, including agent design, data processing, deployment, and continuous monitoring.

  • Pro-Code Implementation: Pro-code workflows and real-world examples for agent development on Agentforce, spanning prototyping, feature engineering, model deployment, performance tuning, and maintenance.

This document is designed for developers and Enterprise Architects familiar with SDLC who want to expand their expertise into agent-based systems, providing both theoretical knowledge and practical skills for building production-ready agents.

The Agentic Enterprise - The IT Architecture for the AI-Powered Future presents a strategic guide for CIOs, CDOs, and IT leaders planning their journey toward becoming an Agentic Enterprise. This document covers:

  • IT Transformation: Enterprise IT architecture for the next 3–5 years, with requirements for large-scale deployment of an agentic workforce.

  • Business Capabilities: New enterprise capabilities enabled by agentic systems, including augmented human productivity, adaptive improvement, and organizational resilience.

  • Reference Architecture: Strategic guidance and reference architecture for integrating a digital workforce of intelligent AI agents with human workers.

  • Strategic Planning: Approaches to enterprise transformation addressing information silos, manual processes, and misaligned incentives to agentic solutions.

This document is essential for executive leaders who need to understand the strategic implications and IT architecture requirements for building an Agentic Enterprise.

Architecting the Agentic Enterprise with MuleSoft presents a point of view for architecting the intelligent enterprise using MuleSoft's integration platform. This document covers:

  • Composable Integration Foundation: MuleSoft’s three-layer API-led connectivity model—System, Process, and Experience APIs—as a foundation for agent actionability.

  • Agent Fabric: MuleSoft Agent Fabric capabilities for agent discovery, orchestration, governance, and observability across the agent ecosystem.

  • Open Standards Support: Support for open standards such as Model Context Protocol (MCP) and Agent2Agent (A2A), enabling simple commands and complex multi-agent collaboration.

  • Governance and Security: Unified agent integration and governance for reduced silos, improved security posture, and lower operational complexity.

This document is valuable for architects who need to integrate agents with existing enterprise systems and ensure proper governance, security, and observability across their agent ecosystem.

MuleSoft Agent Fabric - Deep Dive presents a comprehensive overview of using Mulesoft's Agent Fabric. It covers:

  • Agent Fabric Vision: A unified platform for managing agent sprawl and enabling a governed, coordinated enterprise agent network across heterogeneous agents and tools.

  • Four Core Pillars: Centralized discovery (Agent Registry), intelligent orchestration (Agent Broker), enterprise governance and security (Flex Gateway), and end-to-end observability (Agent Visualizer).

  • Specification-First Architecture: Declarative, YAML-based agent network definitions decoupled from execution, enabling portability, reuse, versioning, and lifecycle governance.

  • Scalable Orchestration Patterns: Hierarchical and domain-driven agent network designs for improved traceability, controlled context size, reliability, and enterprise-scale operations.

This document is valuable for architects and developers who need to design, orchestrate, and govern scalable multi-agent networks while ensuring security, observability, and seamless integration with enterprise systems.