Agentforce 360 isn’t just about building “an AI assistant.” It’s about choosing the right type of agent for the right business outcome.
Let’s break them down.
1. Predictive Agents – The Forecasters
These agents analyze your CRM and Data360 to predict outcomes and recommend the best next steps.
How they work:
Learn from historical and real-time data.
Surface scores, risks, or action recommendations.
Examples:
Sales: Lead and opportunity scoring to prioritize the most promising prospects.
Marketing: Predicting churn risk so campaigns can proactively target at-risk customers.
Value: They turn raw data into actionable intelligence.
2. Generative Agents – The Creators
These agents use large language models (LLMs) to generate content and insights.
How they work:
Combine prompts with CRM data and knowledge articles.
Produce human-like, context-rich responses.
Examples:
Service: Auto-drafting case replies or knowledge articles.
Sales: Creating personalized outreach emails or summarizing meeting transcripts.
Value: They save time, boost consistency, and let humans focus on higher-value work.
3. Autonomous Agents – The Doers
These agents can take actions end-to-end with minimal human input.
How they work:
Execute workflows and processes.
Escalate only when complexity requires human intervention.
Examples:
Sales: An SDR agent that qualifies a lead, drafts an intro message, and books a meeting.
Service: An Employee Service Agent that resets passwords or updates employee records automatically.
Value: They drive efficiency at scale by reducing manual work.
Putting It All Together
In practice, many agents combine these capabilities.
For instance, an Account Management Agent might:
Predict which accounts are at risk,
Generate a personalized follow-up email, and
Autonomously schedule a check-in call.
That’s the real power of Agentforce 360: not just one type of agent, but a flexible system of Predictive, Generative, and Autonomous agents working together.
Final Thought
When designing your first agent, ask yourself:
Do I need it to predict something?
To generate something?
Or to autonomously do something?
Choosing the right type ensures a sharper scope, faster adoption, and better ROI.
