Industry Spotlight: Financial Services

AI, real-time payments, fraud, and regulation in FSI.

9 sessions at the summit3 external resources

Overview

Financial services on AWS uses generative AI for personalised banking, AI agents for KYC/AML automation, real-time fraud detection on streaming data, and core-banking modernization off mainframes. Compliance frameworks like APRA CPS 234 (Australia), SOC 2, PCI-DSS, and ISO 27001 are supported via AWS Artifact and a deep partner network. Quality validation agents accelerate regulated change.

Key concepts

  1. Confidential computing for sensitive workloads
  2. Streaming fraud detection patterns
  3. Open banking APIs and tokenization
  4. Core-banking and mainframe modernization
  5. Model risk management and explainability

Key AWS services

  • Amazon Bedrock
  • Amazon Fraud Detector
  • AWS Clean Rooms
  • AWS Mainframe Modernization

Learn more — curated resources

Hand-picked official docs, foundational papers, and the best community guides for going deeper on this topic.

Sessions on this topic

9 sessions from the Summit covered this topic. Each is a self-contained mini-lesson.

  1. STP215Intermediate

    How Sonder Improve 24/7 Employee Wellbeing with AWS AI

    Sonder's mission is to empower people to be at their best, delivering the right care at the right time to over 1 million members globally across employers, universities, and insurance partners. To scale this mission without compromising quality, Sonder built an AI Copilot entirely on AWS, a 100% human-in-the-loop system designed with safety-first approach where Care Specialists remain at the centre of every interaction, with reinforcement learning from human feedback (RLHF) continuously improving the Copilot's performance. This session explores the architecture behind it, including real-time triage, knowledge retrieval, and escalation workflows and shares the tangible business impact: faster response times, greater operational efficiency, and new service and revenue opportunities unlocked by AI.

  2. STP201Intermediate

    Scaling Security at Startup Speed: Hnry's AI-Powered Approach

    Hnry, a fast-growing fintech startup, faced a critical challenge: their lean engineering team lacked capacity for thorough security reviews and penetration testing. Traditional solutions like hiring security specialists or engaging consulting firms would compromise their velocity and budget. By adopting AWS Security Agent, Hnry gained enterprise-grade security capabilities without enterprise overhead. The AI-powered tool integrated into their development workflow, providing real-time security feedback, automated design reviews, and on-demand penetration testing. This enabled Hnry to maintain startup speed while achieving robust security posture, proving small teams can deliver enterprise-level security through intelligent automation.

  3. FSI206Intermediate

    Agentic AI Transforming Quality at Cloud Speed

    Agentic AI Transforming Quality at Cloud SpeedFinancial services cloud transformations unlock tremendous opportunity - and quality assurance is the catalyst. The Quality Validation Agent Framework deploys specialised AI agents across the delivery lifecycle, collaborating through the AgentCore Runtime Platform to continuously monitor, validate, and accelerate work in real-time. Covering Assessment, Transformation, Testing, and Deployment Intelligence, these autonomous agents shift FSI organisations from reactive checkpoints to proactive validation - eliminating rework, detecting defects early, and achieving AWS Well-Architected compliance with confidence. Come and join us to discover how agentic AI turns quality assurance into your fastest path to production in banking and financial services!

  4. WPS203Intermediate

    Optimising Outpatient Waitlists with ML at Gold Coast Health

    Deploying ML in high-stakes environments demands enterprise readiness, governance, and continuous monitoring. In this session, you'll learn how Gold Coast Health moved from pilot to production with a predictive model identifying patients unlikely to attend procedures — achieving 33% precision, doubling the 15% manual baseline — while ensuring fairness across cohorts. The session covers real-world ML architecture on Amazon SageMaker Pipelines, production monitoring including data quality, pipeline health, and drift detection, plus navigating AI governance through bias analysis and impact assessment. Whether you're in healthcare, financial services, or any regulated industry, walk away with actionable patterns for deploying responsible ML at scale.

  5. FSI201Intermediate

    BELIEVE: The Impossible Migration That Transformed Australian Banking

    Commonwealth Bank migrated the world's largest SAP core banking deployment to AWS in 18 months: the system behind 40% of Australia's payments, 15 million customers, running 247. This isn't a lift-and-shift story, it's a reinvention of how the bank runs critical systems - from architecture and resilience engineering to replacing siloed operational teams with full-stack automation, and the cultural shift this required. Join us to hear how CBA's critical financial infrastructure was modernised with AWS, and what this unlocks for their AI-enabled future. If you're building foundations for regulated, mission-critical workloads, this is the session you don't want to miss.

  6. ISV209Intermediate

    From dev tools to customer value: BGL's agentic AI journey

    Australian fintech leader BGL demonstrates their systematic approach to scaling agentic AI. Starting with Claude Code on Amazon Bedrock for developer productivity, BGL built OpsGorilla, a Slack-integrated agent serving 200+ employees. BGL extended AI agents to customer-facing innovation. BGL's Roni AI autonomously drafts annual compliance work for Self-Managed Superannuation Funds, reducing accountants' workload from days to hours. Built on Claude Agent SDK and Amazon Bedrock AgentCore, BGL's implementation showcases practical architectural patterns for organizations scaling AI agents from developer tools through enterprise operations to customer solutions.

  7. FSI204Intermediate

    Agentic AI in Financial Services: Architectural Patterns That Work

    Getting agentic AI right in financial services means balancing innovation with the realities of compliance, risk, and auditability. This session cuts through the hype — exploring proven architectural patterns from reactive agents to multi-agent topologies, and how FSI organisations are using them to transform customer experience and automate operations. Leave with actionable guidance on building the business case, avoiding enterprise-scale pitfalls, and putting well-architected agents into production.

  8. DEV203Intermediate

    Decisions Over Diagrams: How Bell Financial Group Architects on AWS

    Architecture diagrams show what you built. They don't explain why. At Bell Financial Group, every major technology choice — from landing zone design to compute platform to database engine — is captured in an Architecture Decision Document that forces honest evaluation of trade-offs. In this talk, the Head of Engineering at Bell Financial Group walks through the real decisions behind their AWS platform: why ECS Fargate beat EKS, when DynamoDB wins over relational databases, why the entire infrastructure is written in TypeScript CDK, and the deliberate constraints they place on Lambda usage. No slides full of boxes and arrows — just the reasoning, the trade-offs, and the lessons learned building a regulated financial services platform on AWS.

  9. ISV102Foundational

    From documents to voice - building AI products on AWS

    How Affinda leverages Amazon Bedrock (Claude), SageMaker, EKS & CloudFormation to deliver intelligent document processing at enterprise scale, cutting setup time and costs by 90% with 95%+ accuracy. This session will demonstrate how Affinda powers real-world AI product development from Affinda's Intelligfent Document Processing platform to Pathfindr's (acquired by Affinda) custom AI agents. The session will showcase the complete journey of building Honey Insurance's voice agent - Australia's first voice agent in financial services, and how the Affinda-AWS partnership enables rapid AI product development for Enterprises.

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Non-obvious insights

From the Playbook

One sharp, contrarian insight per session — the things teams don't think of unprompted.

RLHF without operational rigor is just opinion-collection dressed up. The signal quality of human feedback drops fast under load — tired reviewers click through. Audit your reviewers, not just your model. The reviewer pool's calibration *is* your safety budget. ---STP215 — How Sonder Improve 24/7 Employee Wellbeing with AWS AI
The strongest argument for AI security in startups isn't cost — it's *consistency*. A junior human's first 6 months are inconsistent (skipped checks, varied rigor). The AI is consistent from day one. For a startup chasing SOC2, that consistency is what auditors actually reward. ---STP201 — Scaling Security at Startup Speed: Hnry's AI-Powered…
Most QA ROI claims focus on speed. The real win in FSI is *evidence*. Auditable decision logs from agents are paradoxically easier to produce than from humans. That's a regulatory advantage, not just a velocity one. ---FSI206 — Agentic AI Transforming Quality at Cloud Speed
33% precision means 67% false positives. Deployment success depends on what you *do* with the prediction — calling patients vs. removing slots vs. double-booking. The model is only as good as the workflow around it. Build the intervention design before chasing higher precision. ---WPS203 — Optimising Outpatient Waitlists with ML at Gold Coas…
18 months for a SAP core banking migration sounds impossible because it usually *is* impossible — except CBA also redesigned their team structure simultaneously. The migration was an *outcome* of the org change, not the cause of it. Most failed migrations try to lift-and-shift the org alongside the workloads. That doesn't work. ---FSI201 — BELIEVE: The Impossible Migration That Transformed A…
Roni AI's "days to hours" for SMSF compliance is the kind of vertical-specific gain where fine-tuned, domain-aware approaches beat general agents by an order of magnitude. Generic agents wouldn't get there. Vertical specialisation beats horizontal scale here — and probably in most regulated workflows. ---ISV209 — From dev tools to customer value: BGL's agentic AI j…