AWS for Software Companies Podcast

Raviteja Yelamanchili, Head of Solutions Engineering at Scale AI, discusses the evolution of Scale from data annotations to enterprise AI solutions. He reveals how real-time banking insights have replaced year-long cycles, and how healthcare systems use reinforcement learning for valuable patient transcriptions. Raviteja debunks the myth that AI will replace jobs, emphasizing enhancements in productivity instead. He highlights the importance of making enterprise data consumable and capturing tribal knowledge through agent-based learning for better decision-making.

Lareina Yee, Director of Technology Research at McKinsey & Company, shares groundbreaking insights into AI's transformative impact on businesses. Over 80% of companies have dived into AI, yet only 7% achieve full-scale adoption. She discusses the staggering $4.4 trillion potential of AI beyond mere cost savings and highlights how high performers see AI as a total enterprise transformation rather than just tech deployment. Yee emphasizes the urgent need for AI fluency in the workforce and calls for ethical leadership in navigating this AI-driven future.

AWS Principal Solutions Architect Wallace Printz explains how agents are reshaping SaaS business models, pricing strategies, and technical architectures.Topics Include:Wallace Printz discusses agentic workloads transforming SaaS with largest AWS customersNew interaction models include generative UI, voice agents, and proactive workAgents extending SaaS products to interact with external systems and businessesVirtual teammates enabling cross-department collaboration and upskilling non-expert users effectivelyMonetization strategies evolving as predictable costs become variable with agentsThree patterns: dedicated agents, shared agents, and multi-tenant personalized agentsMulti-tenant agents enable hyper-personalized experiences using individual tenant context enrichmentAgent-centric business strategy requires real assessment beyond AI hype cycleAgent orchestration complexity grows with multiple specialized agents interacting togetherTenant isolation requires JWT tokens and AWS Bedrock Agent Core identityCost-per-tenant management needs LLM throttling, tiering, and unified control planeMulti-tenancy creates sticky personalized experiences; AWS white paper releasing soonParticipants:Wallace Printz - Principal Solution Architect, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.Topics Include:Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.Internal adoption driven by empowering teams to build their own solutions versus top-down.Demandbase saw 70% adoption within six months through grassroots approach and local champions.Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.Biggest lesson: Data quality and context determine success more than agentic frameworks.Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.Industry created fatigue by overpromising; should have started smaller with realistic expectations.Participants:Chris Timmerman – Vice President, Global Services Delivery, BoomiHarshal Dedhia – Vice President of AI, DemandbaseBrandon Carl - Executive Vice President of AI and Product Strategy, SmarshAllison Johnson - AMER Technology Partnerships Leader, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Phill Robinson of Boardwave joins Miguel Alava and Massimo Ghislandi of AWS to share research and actionable strategies for European software companies using cloud infrastructure, AI features, and marketplace leverage to drive unprecedented growth.Topics Include:Boardwave and AWS reveal research on European software companies becoming global innovators.Cloud-first businesses exceed customer expectations at 60% versus 46% for laggards.Boardwave's 2,500 CEO members validate findings: AI companies growing 45% annually.Leaders excel at gathering customer feedback for innovation and implementing AI.Top performers leverage marketplaces and deliver continuous customer experience updates consistently.Cloud adoption is foundational for generative AI and agentic AI to scale.Companies face different challenges depending on their cloud maturity stage currently.Cloud serves as table stakes before companies can capture AI growth opportunities.Benchmarking tool helps identify current position and plan strategic next steps forward.Startups should solve universal problems globally, building painkillers not vitamin products.Intercom scales customer service; Wix transforms efficiency through cultural and engineering mindset.Future requires cloud foundation with AI features; AWS offers comprehensive support programs.Participants:Phill Robinson – Chair & Co-Founder, BoardwaveMiguel Alava – EMEA ISV General Manager, Amazon Web ServicesMassimo Ghislandi -  Head of EMEA Marketing for Software Companies, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Industry leaders from Kore AI, SS&C Blue Prism and AWS reveal what actually works in agentic AI deployment, from contact center automation to employee productivity, with proven strategies for regulated industries.Topics Include:Kore AI and SS&C Blue Prism leaders discuss achievable agentic AI actionsThree deployment areas show real ROI: customer service, employee automation, and process workflowsKore AI handles billions of annual interactions, with 85% focused on contact center operationsSS&C Blue Prism achieved $200 million annual savings using agentic AI across 120 internal use casesThe company processes 6 million transactions monthly consuming 10-12 billion tokens in productionRegulated industries like financial services and healthcare successfully deploy agentic AI with proper guardrailseBay case study demonstrates measurable productivity gains tied directly to AI agent implementationTwo identical pilot programs yielded different results: one tied to business outcomes, one didn'tISVs should stop chasing shiny objects and focus on solving customers' stickiest problems insteadDesign for scale from day one and accept no single vendor solves everything aloneEmployee-facing use cases carry less risk than customer-facing applications for initial AI deploymentsCombining deterministic automation with AI plus governance creates more viable and trustworthy solutionsParticipants:Erik Walton - EVP of WW Sales/Partner Sales, Kore AISatish Shenoy - VP, Global Technology Alliances & AI GTM, SS&C Blue PrismArym Diamond – Head of North America Data & AI Sales, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

CEO Scott Stephenson explains how Deepgram's voice AI technology powers everything from pharmacies to drive-thru ordering and why, after so many years, Voice AI is now ready for prime time.Topics Include:Scott Stephenson introduces Deepgram as an audio AI company building speech productsMajor brands like CVS and Anthropic use Deepgram to power voice agentsCVS handles prescription status calls where 25-40% ask if prescriptions are readyVoice technology now accurately understands diverse accents and speech patterns from callersAutomated systems free pharmacists to focus on their actual jobs insteadJack in the Box uses Deepgram for drive-thru ordering with natural conversationsPrevious McDonald's and Wendy's failures happened because the technology wasn't ready yetVoice AI can handle any task with text input like CRM notesHealthcare companies adopted voice AI faster than expected despite compliance hurdlesStaffing shortages drove hospitals to push through HIPAA and regulatory red tapeFirst misconception: AI will never match human performance in customer interactionsSecond misconception: one product should solve all voice-related business problemsCompanies must strategically decide what to build, partner on, or buyDeepgram's research team controls speech speed and outputs conversational data like timestampsAdoption will feel slow initially but suddenly be everywhere within three yearsParticipants:Scott Stephenson – Co-Founder & CEO, DeepgramSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Uri Cohen reveals how Elastic transformed from managing 50,000 complex clusters to building a seamless serverless platform that eliminates operational overhead while scaling globallyTopics Include:Johan Broman of AWS hosts Uri Cohen who leads Elastic's platform products teamUri shares his nine-year journey at Elastic from small company to global scaleElasticsearch started 15 years ago, becoming popular for search, logs, and security eventsElastic Cloud launched 2015, but users struggled with shards, nodes, and infrastructure complexityServerless eliminates operational concerns, letting users just ingest and analyze their dataDesign goal: maintain familiar Elasticsearch experience while removing all infrastructure management burdenChose complete architectural redesign over retrofitting auto-scaling to existing infrastructureNew architecture uses S3 persistence with lightweight routing layer serving 50,000+ clustersCell-based design limits blast radius and improves multi-tenancy across 40+ global regionsLearned S3 API costs can explode unexpectedly without careful request pattern optimizationAI transforms security workflows: 10,000 alerts become 3 actionable attack summaries automaticallyWeekly continuous deployment enables faster innovation delivery without waiting for version releasesParticipants:Uri Cohen – Vice President of Product Management, Platform, ElasticJohan Broman – EMEA ISV Head of Solutions Architecture, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

SS&C Blue Prism's VP reveals how they achieved $200M annual savings and $600M revenue growth by deploying 3,000 AI agents, processing 6 million documents monthly as their own first customer.Topics Include:SS&C Blue Prism evolved from RPA leader to agentic automation provider over 25 yearsServes 22,000 clients in regulated industries like financial services, healthcare, manufacturing, and retailOffers AI agents, governance gateway, and secure enterprise chat leveraging AWS BedrockAs "customer zero," they deployed 3,000 agents processing 6 million documents monthlyGenerated $200M annual savings and $600M revenue growth using their own technologyFinancial services client unlocked unstructured document processing previously impossible with traditional automationHealthcare client's AI processes MRIs more accurately than human radiologistsKey lesson: Focus on business outcomes first, not just implementing AI everywhereCritical insight: Plan for scale on day one, not after pilots succeedAWS Marketplace streamlined purchasing, especially in challenging Latin American marketsFuture vision: B2A economy where agents negotiate parking, shopping, and services autonomouslyPredicts agent-to-agent communication will revolutionize healthcare monitoring and wealth managementParticipants:Satish Shenoy – Global Vice President, Technology Alliances and GenAI GTM, SS&C Blue PrismSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Three enterprise AI leaders from Archer, Demandbase, and Highspot reveal how top companies are implementing AI responsibly while navigating data privacy, bias prevention, and regulatory compliance challenges.Topics Include:AWS Security GM Brian Shadpour hosts three AI leaders discussing responsible enterprise deploymentDemandbase's Umberto Milletti explains tenant-based models ensuring first-party customer data remains confidentialHighspot's Oliver Sharp uses behavior-specific feedback frameworks to eliminate bias in sales assessmentsReal-time AI evaluation proves challenging when assessing dynamic sales conversations and customer interactionsCompanies create "second-party data" networks where customers opt-in to share insights collectivelyOpen-source models gain traction but require significant expertise for enterprise-grade implementationEU AI Act mandates human oversight, reshaping how companies design AI systems globallyArcher's Kayvan Alikhani extends identity management principles from web applications to AI agentsUnattended AI agents performing tasks autonomously create new security and accountability challengesHuman-in-the-loop oversight remains essential, especially for high-stakes decisions affecting customersFuture challenge: Determining when AI accuracy justifies removing costly human oversightEnterprise data hygiene becomes critical as AI systems need clean, reviewed internal dataParticipants:Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk ManagementUmberto Milletti - Chief R&D Officer, DemandbaseOliver Sharp - Co-Founder & Chief AI Officer, HighspotBrian Shadpour - General Manager, Security, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/