TalksAWS re:Invent 2025 - Build an Agentic SaaS App in 5 Steps: From Idea to Revenue (AIM104)

AWS re:Invent 2025 - Build an Agentic SaaS App in 5 Steps: From Idea to Revenue (AIM104)

Building an Agentic SaaS App in 5 Steps: From Idea to Revenue

Overview

The presentation showcases how Homeland, a fintech company, can leverage Launchpad, an AI-powered low-code app development platform, to build and deploy an enterprise-grade agentic SaaS application for mortgage pre-approvals. The application is designed to dramatically reduce processing time and deliver a great customer experience.

Key Steps

  1. Making the Design: Homeland uses Launchpad's Genai-powered blueprint to design the mortgage pre-approval application, including the workflows, data model, and user interface.

  2. Making it Real: Launchpad enables Homeland to build the application on a secure, scalable AWS architecture, with pre-built enterprise capabilities and integrations.

  3. Making it Work: Homeland incorporates workflow management to control the AI agents and ensure a controlled, deterministic, and predictable outcome - crucial for regulated industries like banking.

  4. Making it Available: Homeland deploys the application to its subscribers (banks) through Launchpad's subscriber management and configuration capabilities.

  5. Making it Rain: The application is used by real customers, like Sarah, who can get pre-approved for a mortgage in seconds, delivering a great experience and preventing the loss of her dream home.

Technical Details

  • Launchpad leverages Genai to generate the initial application blueprint, including the data model, workflows, and user interface.
  • The application is built on a secure, scalable AWS architecture, with pre-built integrations and enterprise-grade capabilities.
  • Workflow management is used to control the AI agents, ensuring a controlled, deterministic, and predictable outcome for regulated industries.
  • The application features a conversational interface, allowing customers to initiate the mortgage pre-approval process through a virtual assistant.
  • Launchpad provides a usage-based pricing model that scales with the business, reducing the cost and complexity of managing the cloud, security, and code.

Business Impact

  • Homeland is able to build and deploy an enterprise-grade agentic SaaS application for mortgage pre-approvals in a matter of steps, dramatically reducing development time and costs.
  • The application delivers a superior customer experience, with mortgage pre-approvals processed in seconds instead of days, preventing customers like Sarah from losing their dream homes.
  • Banks, Homeland's subscribers, can benefit from the automated and controlled mortgage pre-approval process, which meets the requirements of regulated industries.
  • Launchpad's usage-based pricing model allows Homeland to scale the application as its business grows, without the overhead of managing the underlying infrastructure and technology.

Examples

  • Homeland builds a mortgage pre-approval application that can process requests in seconds, compared to the 2-day turnaround time experienced by Sarah in the scenario.
  • The application incorporates a human approval step for loan requests over $5 million, ensuring a controlled and deterministic outcome.
  • Homeland deploys the application to its bank subscribers, such as U+ Bank, which then integrates the virtual assistant into its website, allowing customers like Sarah to initiate the pre-approval process directly.

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