Name: In-Person: Proactive Insights Copilot – Designing Agentic AI Systems on AWS
Start: 2025-09-27T08:30:00-05:00
End: 2025-09-27T16:30:00-05:00
Location: 1001 W Euless Blvd

$In-Person: Proactive Insights Copilot \u2013 Designing Agentic AI Systems on AWS$

Learn to build a Proactive Insights Copilot by designing Agentic AI Systems on AWS, with an e-commerce case study example.
About this Event

Most analytics today are reactive; they wait for someone to ask the right question or check the right dashboard. With Generative AI and Agentic Systems, we can flip this model: building assistants that are proactive, monitoring data signals, detecting anomalies, and pushing actionable insights to decision-makers without waiting for a prompt.

In this workshop, set in the context of an e-commerce company, you’ll learn how to design and implement a Proactive Insights Copilot using AWS services. The copilot combines knowledge grounding with specialized agents and event-driven triggers to deliver context-rich, timely insights that move teams beyond static dashboards.

The workshop is guided by AWS’s latest prescriptive best practices.

Building Serverless Architectures for Agentic AI on AWS – scalable, event-driven architectures using Amazon Bedrock, EventBridge, and Lambda.
Agentic AI Frameworks, Protocols, and Tools on AWS – guidance for choosing frameworks, integrating tools, and orchestrating multi-agent systems using protocols such as the Model Context Protocol (MCP).

By the end of the day, you’ll have hands-on experience building a copilot that anticipates needs, surfaces insights automatically, and operates with governance and trust, all demonstrated through an e-commerce lens but applicable across industries.

Who Should Attend

Solutions Architects exploring Generative AI and agentic design patterns
Developers & Engineers wanting hands-on experience building with AWS services
Data & Analytics Leaders looking to extend BI capabilities with AI
Business & Operations Stakeholders curious about how AI surfaces insights proactively

What You’ll Need

Basic familiarity with AWS services (S3, Lambda, EventBridge, IAM)
Comfort navigating the AWS Management Console
Awareness of business KPIs (e.g., conversion, cart abandonment, Average Order Value)
No advanced coding or ML expertise required

What Will Be Provided

Access to a ready-to-use AWS environment for hands-on labs
Sample e-commerce data for use cases and exercises
Guided instructions and starter resources (Lambda functions, EventBridge rules, datasets)
A reference guide and cleanup steps to continue learning post-workshop

Agenda (Full Day, 8:30 am – 4:30 pm)

8:30 – 9:00 | Check-In (30 min)

9:00 – 9:30 | Welcome & Why Proactive Insights (30 min)

Framing the challenge: why dashboards and traditional BI miss critical signals.
Introduction to Generative AI, AI Agents, and Agentic Systems.
Overview of the Proactive Insights Copilot use case.

9:30 – 10:00 | Exploring E-Commerce Data with Generative BI (30 min)

Use Amazon QuickSight with Amazon Q to explore KPIs in natural language.
Example KPIs: cart abandonment, Average Order Value (AOV), refund rate, and inventory stock levels.
Demonstrate how Generative BI reduces dependency on queries and dashboards
10:00 – 10:10 | Morning Break (10 min)

10:10 – 11:40 | Building a Smarter Assistant with Knowledge Grounding (1 hr 30 min)

Create an Amazon Bedrock Knowledge Base (KB) with KPI definitions, policies, and playbooks.
Demonstrate retrieval-augmented generation (RAG) for contextual, grounded answers.
Example: refund spike explained using policy + playbook context.
11:40 – 12:25 | Lunch Break (45 min)

12:25 – 2:50 | From Assistant to Agentic System (2 hr 25 min)

Move beyond Q&A to agents that plan and act.
Configure a Bedrock Agent with specialized tools: Sales KPI Checker Agent, Inventory Checker Agent, Refund Anomaly Detector Agent.
Demonstrate how specialized agents collaborate as part of an agentic system, orchestrated by an Advisor Agent.
Hands-on build and testing with time for troubleshooting.
Mini-governance touchpoints: least-privilege IAM roles, audit trails, tool contracts.

2:50 – 2:55 | Afternoon Stretch Break (5 min)

2:55 – 3:35 | Making Insights Proactive (40 min)

Use Amazon EventBridge to trigger insights automatically.
Example triggers: weekly KPI briefing, cart abandonment > 50%, inventory below threshold.
Deliver proactive insights via Slack, Teams, or email.
Discuss event-driven patterns for scaling proactive insights.

3:35 – 4:05 | Governance, Guardrails & Lifecycle (30 min)

Why trust and explainability matter for proactive systems.
Governance (AgentOps): version control with AppConfig, pipelines with CodePipeline, monitoring with CloudWatch, and GuardDuty.

4:05 – 4:30 | Wrap-Up & Q&A (25 min)