AWS for Software Companies Podcast

Boomi CEO Steve Lucas reveals how to flip AI's 95% failure rate to your favour with practical integration strategies, real-world agent deployments, and an AWS partnership.
Topics Include:
Boomi solves the forever problem of complexity across applications and systems
Twenty-five thousand customers use Boomi to automate anything and connect everything
Boomi moves more data per second than the entire Visa network
AI agents now integrate systems through simple commands, no coding required
Agentic platform built with AWS creates custom AI agents in real time
Use cases include expense monitoring and heart defibrillator battery checks daily
Automotive companies use AI agents to assess tariff risks across supply chains
Hospitals deploy agents to detect patient falls and alert medical professionals immediately
Control Tower co-innovated with AWS monitors and manages all AI agents centrally
Deterministic processes like payroll shouldn't use AI, probabilistic challenges should
Ninety-five percent of AI projects fail due to data access problems
Agentic workshops help companies identify high-ROI opportunities and achieve AI success

Participants:
Steve Lucas – Chairman & CEO, Boomi

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

Fabric CTO Ankush Goyal reveals how AI Search is transforming commerce discovery and why merchants need AI agents to compete effectively.
Topics Include:
Fabric builds AI agents for commerce, solving merchant visibility challenges
Commerce shifting due to AI Search channels and smaller retail teams
Product Agent monitors and improves product visibility across AI channels
PetMeds uses Fabric to optimize AI Search and automate SKU onboarding
Fabric evolved from commerce platform company to AI agent solutions
Agentic and generative AI work together to optimize product catalogs
Fabric uses AWS EKS, Bedrock, S3, and Nova models heavily
AWS partnership connects Fabric with industry leaders and growth opportunities
AWS services enable reliable, cost-effective, and performant enterprise AI agents
Prototyping agents is easy, but enterprise-grade reliability is extremely challenging
Four key learnings: workflow reliability, context engineering, cost effectiveness, feedback loops
CTOs should define agent goals, guardrails, context, and evaluations early
Long-running workflow durability and snapshots prevent costly repeated work failures
Future innovations focus on specialized models, retrieval frameworks, automated evaluations
Merchants can evaluate AI Search performance at fabric.inc or LinkedIn

Participants:
Ankush Goyal – Chief Technology Officer, Fabric

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

Abrigo's Chief Product Technology Officer reveals how they're leveling the playing field for 2,400 community banks using AWS-powered AI to compete with billion-dollar financial institutions.
Topics Include:
Abrigo serves 2,400 community banks and credit unions across the US
They provide risk management, fraud detection, and digital loan origination solutions
Connect platform delivers data analytics for institutions with legacy systems
Community banks need instant digital experiences to compete with fintech upstarts
Customers expect Uber-like speed from application to cash within hours
Three technology waves transformed finance: iPhone, cloud computing, then AI
ChatGPT changed conversational experiences and knowledge search expectations in banking
AI enables instant policy search for new employee onboarding needs
Every minute saved from grunt work gets redeployed into customer relationships
Simple borrower experiences work across all demographics from boomers to millennials
Abrigo embraced agentic AI early using AWS Bedrock and Agent Core
New guardrails and evaluations accelerate deterministic workflow reimagination with agents

Participants:
Ravikumar Nemalikanti – Chief Product and Technology Officer, Abrigo

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

Hear how Halo manages market disruption and technology innovation with their unique culture, helping them scale to be a leader in workflow automation software.
Topics Include:
Halo serves 125,000 teams across 75 countries with enterprise ITSM solutions
Paul Hamilton founded company 21 years ago as freelance IT consultant
Built ticketing software to track their own freelance client work originally
No marketing budget so mastered organic SEO without paid advertising spend
Reached number one Google ranking globally for help desk software 2006
Hired first employee in 2011 when co-founder wanted out
AWS partnership began years ago recognizing trajectory not current snapshot size
AWS team proactively delivered 20 percent infrastructure optimization cost savings recently
Halo reducing prices using savings for customer value creation
Hires graduates and trains them rather than poaching experienced enterprise talent
Monday morning all-company meetings ensure transparency with minimal management hierarchy levels
No traditional sales teams, culture emphasizes autonomy and employee ownership stakes
Technology completely rebuilt 2017-2018 delivering deployments in one-third typical timeframes
Total cost ownership 70 percent lower than competitors while winning tenders
Vision transcends software through music festivals, documentaries pioneering fulfilling workplace culture

Participants:
Paul Hamilton – CEO and Founder, Halo
Alison Kay – Vice President / Managing Director, AWS UKI

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

Neo4j's Ajay Singh discusses future shifts in AI and why knowledge graphs may be the missing layer in your Gen AI strategy.
Topics Include:
Ajay Singh from Neo4j discusses graph intelligence platform serving 80+ Fortune 100 companies.
Financial services firms use Neo4j knowledge graphs to detect fraud rings and accounts.
IT companies build digital twins of infrastructure to analyze attack surfaces and vulnerabilities.
Knowledge graphs provide richer context for Gen AI agents beyond what vector search offers.
Gaming company achieved 10x faster insights and 92% reduction in analyst data gathering.
Transportation company improved tariff code workflow from 50% abandonment to 95% completion rate.
Neo4j has partnered with AWS since 2013, running on AWS infrastructure and Marketplace.
Customers combine Neo4j with AWS Bedrock and SageMaker to build agentic AI applications.
Neo4j evolved from late-stage AWS collaboration to early-stage joint customer solution development approach.
Success requires business-first mindset over technology-first to avoid POCs that never reach production.
Effective Gen AI needs semantic layers and knowledge graphs, not just throwing documents at LLMs.
Future agents will tackle outcome-based objectives requiring explainability, security, and proper LLM operations.

Participants:
Ajay Singh – Global Vice President, Neo4j

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