Generative & Agentic AI on AWS

AnyCompany Finance — Workshop

3 days · From AI fundamentals to automated workflows · No coding required

Workshop Journey

📚

Day 1: GenAI Essentials

What can AI do? Foundation models, use cases for finance, responsible AI, and your first GenAI playbook.

💬

Day 2: Prompt Engineering

How do I talk to AI? Master prompt techniques, build reusable templates, and create 6 finance tools with Kiro.

🤖

Day 3: Agentic AI

How do I make AI work on its own? Workflow patterns, skills, hooks, and design an agent for your team.

Who Is This For?

💼

Finance Operations

Finance analysts, accounts payable/receivable teams exploring AI-powered productivity tools

📊

Risk & Compliance

Compliance officers and risk managers evaluating AI for regulatory reporting and fraud detection

🏢

Business Management

Technical managers and team leads looking to prototype internal tools rapidly

🤝

Anyone Curious

Anyone interested in using AI to build software without coding

Prerequisites

  • No coding experience required — Kiro writes all the code
  • An internet connection
  • Access to the AWS workshop environment
⚠️ Security Notice: Do not include any confidential information, personally identifiable information (PII), or sensitive data in your prompts. All sample data in this workshop is synthetic. When the event ends, all sandbox resources are automatically destroyed.

Day 1: Generative AI Essentials

Understanding what AI can do — and where it fits in finance.

Topics Covered

• How foundation models work
• How LLMs predict the next token
• Amazon Bedrock services & models
• Temperature, Top-k, Top-p parameters
• When GenAI is (and isn't) the right fit
• Finance use cases: PTP, RTR, Risk, Payments
• Prompt design basics & best practices
• Responsible AI: bias, PII, prompt injection
• Model selection criteria
• Bedrock Guardrails configuration
💡 Day 1 Labs

Lab 1: Prompt Engineering in Amazon Bedrock Playground
Lab 2: Responsible AI with Bedrock Guardrails
Lab 3 (Capstone): Create a GenAI Implementation Playbook (5 documents)

Day 2: Prompt Engineering Workshop

Master prompt techniques and build 6 practical finance tools with Kiro.

Topics Covered

• 4 pillars: Clarity, Context, Role, Output
• 4 types of context: Domain, Data, Situational, Constraints
• Chain-of-Thought: Zero-Shot, Few-Shot, Step-Back
• Self-Consistency for high-stakes decisions
• Persona prompting & multi-agent framing
• Structured outputs (JSON) & RAG grounding
• Model-specific tuning & parameters
• Evaluating prompts: rubrics & LLM-as-Judge
• Bedrock Prompt Management & Optimization
• Long conversation management & circuit breakers
• Common prompt mistakes & how to avoid them
• From prompt templates to automated skills

📽️ Presentation

🛠️ Kiro Hands-On Modules

✏️ Prompt Engineering Exercises

Day 3: Agentic AI & Workflow Automation

Make AI work on its own — design automated workflows for your team.

Topics Covered

• Chatbot vs autonomous agents
• The agentic loop: Observe → Plan → Act → Reflect
• 4 levels of AI autonomy (L1–L4)
• Workflow patterns: Chaining, Parallelization, Routing, Orchestration
• Kiro stack: Steering + Skills + Hooks
• Skills vs MCP: instructions vs connections
• Converting templates to SKILL.md
• SKILL.md best practices
• Agent Design Canvas methodology
• Guardrails at every layer

📽️ Presentation

🤖 Agent Design Exercises

💡 What you'll take home from Day 3: A SKILL.md file, a steering file, a hook configuration, and an Agent Design Canvas — all ready to share with your tech team.

Resources & Tips

🔑 Key Concepts

💡 Persona Prompting

Throughout this workshop, prompts start with a role assignment like "You are a Senior Accounts Payable Analyst...". This is persona prompting — one of the most effective techniques for getting higher-quality results from AI. By telling the AI what role to play, it adjusts its vocabulary, reasoning, and level of detail to match that expertise.

📋 Workshop Deliverables

DeliverableCreated onDescription
GenAI PlaybookDay 15-document implementation playbook for a finance use case
Prompt TemplateDay 2Production-ready template with variables (merchant risk or credit narrative)
SKILL.mdDay 3Portable, auto-activating skill file for Kiro
Steering FileDay 3Global rules for your team (currency, PII, brand voice)
Hook ConfigDay 3Auto-trigger that runs your skill when new data arrives
Agent Design CanvasDay 3One-page agent design: role, steps, guardrails, business impact

🔧 Tools Used

ToolUsed for
Amazon Bedrock PlaygroundDay 1 labs — prompt testing, guardrails configuration
Kiro IDEDay 2-3 — hands-on exercises, building tools, creating skills

Generative & Agentic AI on AWS · Digital Finance Academy