Agentic, Assistive & Predictive AI Design Patterns

Building AI isn’t just about prompting or plugging into an API — it’s about architecture. This workshop translates Salesforce’s Enterprise Agentic Architecture blueprint into practical design patterns for real-world builders.

You’ll explore how Predictive, Assistive, and Agentic patterns map to Salesforce’s Agentforce maturity model, combining orchestration, context, and trust into cohesive systems. Through hands-on modules, participants design a Smart Checkout Helper using Agentforce, Data Cloud, MCP, and RAG—complete with observability, governance, and ROI mapping.

Key Takeaways

• Agentic Architecture Foundations: Understand multi-agent design principles — decomposition, decoupling, modularity, and resilience.

• Pattern Literacy- Apply patterns: Orchestrator, Domain SME, Interrogator, Prioritizer, Data Steward, and Listener.

• Predictive–Assistive–Agentic Continuum: Align AI maturity with business intent — from prediction and guidance to autonomous execution.

• RAG Grounding & Context Fabric: Integrate trusted enterprise data via Data Cloud and MCP for fact-based reasoning.

• Multi-Agent Orchestration: Implement Orchestrator + Worker topologies using A2A protocol, Pub/Sub, Blackboard, and Capability Router.

Governance & Trust: Embed privacy, bias mitigation, observability, and audit trails — design for CIO confidence.

Business Alignment: Use the Jobs-to-Be-Done and Agentic Map templates to connect AI outcomes with ROI.

Agenda
Module 1 – Enterprise Agentic Foundations

• • Why multi-agent architecture > monolithic AI.
• • Core principles: decomposition, decoupling, specialization, modularity.
• • Explore: Agentforce subsystems, Atlas Reasoning Engine, MCP, and A2A protocol.
• • Build: “Hello Agentforce” → Orchestrator + Worker Agent handshake.

Module 2 – The Big 3 Patterns: Predictive, Assistive, Agentic

• • Understand foresight → guidance → autonomy.
• • Map Salesforce maturity levels (1–4) to each pattern.
• • Build: Cart abandonment handled via Predictive, Assistive, and Agentic variants.

Module 3 – Predictive AI → Foresight in Systems

• • Forecast churn, fraud, demand with Data Cloud + Einstein GPT.
• • Pattern Fusion: Prioritizer + Generator + Predictive flow.
• • Build: Predictive scoring embedded in checkout journey.

Module 4 – Assistive AI → Guiding Humans

• • UX patterns: nudges, cards, contextual insights.
• • Listener/Feed Pattern for real-time context surfacing.
• • Build: Service Agent + Promotion Recommender (Next Best Action).

Module 5 – Agentic AI → Autonomy in Action

• • Orchestrator Pattern as Agentic Front Door.
• • Domain SME Pattern for Inventory or Orders.
• • Interrogator for context assembly and reasoning.
• • Build: Refund Agent with human-in-loop fallback and A2A coordination.

Module 6 – Agentic Map & Jobs-to-Be-Done Framework

• • Learn the Agentic Map Template (User, Agent, Context, Source layers).
• • Use JTBD to align patterns with business goals.
• • Exercise: Map Acquire → Convert → Fulfill → Support journeys to AI patterns.

Module 7 – RAG & Context Fabric

• • Why hallucinations occur and how RAG fixes them.
• • Combine vector DB + retriever + Agentforce knowledge actions.
• • Build: Checkout FAQ bot (returns, policies, catalog) with citations.

Module 8 – Multi-Agent Orchestration with MCP

• • Orchestrator/Supervisor → Worker → Capability Router flow.
• • Pub/Sub for events, Blackboard for shared memory.
• • Build: Checkout Agent → Inventory Agent → Pricing Agent → Orchestrator.

Module 9 – Governance & Guardrails

• • Identity & Access, Privacy, Bias Checks, Observability.
• • Patterns: Data Steward + Zen Data Gardener for trusted data ops.
• • Build: Add governance and logging to prototype via MCP telemetry.

Module 10 – From Prototype to Production

• • End-to-end demo of Smart Checkout Helper.
• • Agentic Pattern Matrix + Governance Checklist + ROI Storytelling.
• • Next steps for scaling Agentforce in your enterprise.

What You’ll Leave With

• • Working Smart Checkout Helper (Agentforce + MCP + RAG).
• • Decision Framework: Predictive vs Assistive vs Agentic.
• • Governance Checklist for trust & auditability.
• • Multi-Agent Playbook (Orchestrator, Supervisor, Capability Router).
• • Agentic Map Toolkit linking JTBD → AI → ROI.