Agentic, Assistive & Predictive AI Patterns
Building AI isn’t about plugging into an API — it’s about patterns, orchestration, and guardrails. This workshop equips architects, developers, and leaders to design enterprise-ready AI systems using the Big 3 patterns (Predictive, Assistive, Agentic), RAG grounding, and multi-agent orchestration with MCP.
You’ll work through real-world e-commerce scenarios and leave with a Smart Checkout Helper prototype, reusable decision frameworks, and a governance playbook that CIOs can trust.
Key Takeaways
Pattern Literacy → Know when to apply Predictive, Assistive, or Agentic AI.
Integration Skills → Wire up Salesforce Agentforce, OpenAI, Zapier, and Data Cloud into resilient flows.
RAG Mastery → Ground AI in facts to reduce hallucinations.
Multi-Agent Orchestration → Use Orchestrator, Pub/Sub, Blackboard, Capability Router, and MCP.
Governance Confidence → Embed privacy, bias checks, auditability, and resilience into every design.
Business Alignment → Use Jobs-to-Be-Done to link AI to ROI.
Agenda (Full Day)
Module 1. Foundations of AI Patterns
Why AI patterns > tools.
Event-driven + API-driven + AI-driven systems.
Build: Hello World → OpenAI + Zapier trigger.
Module 2. The Big 3 Patterns
Predictive → foresight.
Assistive → guidance.
Agentic → autonomy.
Decision matrix for choosing patterns.
Build: Same use case in 3 ways (cart abandonment).
Module 3. Predictive AI → Foresight in Systems
Forecast churn, fraud, demand.
Salesforce Data Cloud predictive models.
APIs/events for embedding predictions.
Build: Predictive scoring in checkout flow.
Module 4. Assistive AI → Guiding Humans
UX patterns: nudges, cards, contextual insights.
Salesforce Next Best Action examples.
Build: Personalized promotion recommender for service agent.
Module 5. Jobs-to-Be-Done Framework
E-commerce jobs: Acquire → Convert → Fulfill → Support.
Map AI patterns to jobs.
Build: Convert job → predictive + assistive + agentic combo flow.
Module 6. Agentic AI → Autonomy in Action
Autonomy levels (assistive → semi → fully agentic).
Salesforce Agentforce: SDR Agent, Sales Coach Agent.
Fallbacks & escalation strategies.
Build: Refund bot with human-in-loop approval.
Module 7. RAG → Grounding AI in Facts
Why hallucinations occur.
RAG architecture: vector DB + retriever + LLM.
Build: Checkout FAQ bot (returns, policies, catalog).
Module 8. Multi-Agent Orchestration & MCP
Core orchestration patterns:
Orchestrator/Supervisor.
Pub/Sub.
Blackboard/Shared Memory.
Capability Router (Intent → Skill).
MCP (Model Context Protocol) → plug-and-play interoperability.
Build: Checkout Agent → Inventory Agent → Pricing Agent using Pub/Sub + Supervisor.
Module 9. Governance & Guardrails
Privacy by design, bias checks, audit trails.
Architecture resilience: retries, DLQs, idempotency.
CIO trust checklist.
Build: Add governance + logging to prototype.
Module 10. From Prototype to Production
End-to-end demo of Smart Checkout Helper.
Templates: pattern matrix, JTBD map, governance checklist.
ROI storytelling for business leaders.
Next steps for embedding AI into your enterprise.
What You’ll Leave With:
A working prototype of an AI-powered checkout flow.
A decision framework (Predictive / Assistive / Agentic).
A governance checklist for privacy, bias, and auditability.
A multi-agent orchestration playbook (including MCP).
A business mapping toolkit (JTBD → AI → ROI).
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
Rohit loves to connect on http://www.productivecloudinnovation.com.
http://linkedin.com/in/rohit-bhardwaj-cloud or using Twitter at rbhardwaj1.