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AWS for Software Companies Podcast

Ep083: Navigating the AWS Bedrock Journey: Planview's AI Evolution

32 min • 13 mars 2025

Richard Sonnenblick and Lee Rehwinkel of Planview discuss their transition to Amazon Bedrock for a multi-agent AI system while sharing valuable implementation and user experience lessons.

Topics Include:

  • Introduction to Planview's 18-month journey creating an AI co-pilot.
  • Planview builds solutions for strategic portfolio and agile planning.
  • 5,000+ companies with millions of users leverage Planview solutions.
  • Co-pilot vision: AI assistant sidebar across multiple applications.
  • RAG used to ingest customer success center documents.
  • Tracking product data, screens, charts, and tables.
  • Incorporating industry best practices and methodologies.
  • Can ingest customer-specific documents to understand company terminology.
  • Key benefit: Making every user a power user.
  • Key benefit: Saving time on tedious and redundant tasks.
  • Key benefit: De-risking initiatives through early risk identification.
  • Cost challenges: GPT-4 initially cost $60 per million tokens.
  • Cost now only $1.20 per million tokens.
  • Market evolution: AI features becoming table stakes.
  • Performance rubrics created for different personas and applications.
  • Multi-agent architecture provides technical and organizational scalability.
  • Initial implementation used Azure and GPT-4 models.
  • Migration to AWS Bedrock brought model choice benefits.
  • Bedrock allowed optimization across cost, benchmarking, and speed dimensions.
  • Added AWS guardrails and knowledge base capabilities.
  • Lesson #1: Users hate typing; provide clickable options.
  • Lesson #2: Users don't like waiting; optimize for speed.
  • Lesson #3: Users take time to trust AI; provide auditable answers.
  • Question about role-based access control and permissions.
  • Co-pilot uses user authentication to access application data.
  • Question about subscription pricing for AI features.
  • Need to educate customers about AI's value proposition.
  • Question about reasoning modes and timing expectations.
  • Showing users the work process makes waiting more tolerable.


Participants:


See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

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