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/