FUTR of Financial Services Sydney 2026
Sydney’s flagship event for the leaders transforming digital platforms, payments, cyber resilience, and the next era of customer experience.
Where Australia’s Financial Trailblazers Set the Standard
Australia’s financial sector is accelerating into a new era, one defined by digital transformation, regulatory reset, and the convergence of AI, data, and customer trust.
The FUTR of Financial Services Sydney Forum brings together more than 600 senior leaders across banking, insurance, superannuation, payments, and fintech to explore what’s next.
Across a day of keynotes, leadership dialogues, and peer exchanges, the forum examines how technology, risk, and innovation unite to deliver resilience, relevance, and growth.
Key Themes
Payments and platform transformation
Cyber, fraud, and operational risk
Regulatory reform, data privacy, and compliance
AI, automation, and workforce strategy
ESG and climate leadership
Hyper-personalisation and digital customer experience
Growth, resilience, and competitive edge in financial services
WHO ATTENDS
Senior decision-makers from banks (major, regional, digital), insurers, wealth managers, super funds, asset managers, payments providers, mutuals, and fintechs
Executives across technology, transformation, product, data, strategy, digital, operations, customer, risk, compliance, cyber and fraud, ESG, and people and culture
Regulatory and government policy leaders, industry bodies, platform partners, consultancies, and ecosystem stakeholders
Leaders in customer experience, service design, operations, learning and capability, and enterprise delivery
Preliminary Agenda
Subject to refinement as speakers and sessions are finalised.
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How clearer FY27 economic signals are reshaping executive trade-offs across cost discipline, growth priorities, and capital allocation
What boards are now locking in as economic assumptions for FY27 planning, investment sequencing, and risk appetite
Where institutions are adjusting strategy as uncertainty narrows and confidence, productivity, and investment decisions become more explicit
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How AI, analytics, and automation are improving decision quality, throughput, and operational performance at scale
The data foundations, governance models, and responsible decisioning required to deploy AI safely and transparently
Moving beyond pilots to sustained, measurable impact across core financial services operations
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How regulatory expectations are crystallising across conduct, consumer duty, and accountability as supervision intensifies
Where regulators are drawing firmer lines on transparency, data governance, and automated decision-making
Priority areas where institutions must demonstrate maturity as enforcement, accountability, and remediation expectations rise
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What unified, cloud-ready data platforms enable for insight, compliance, and enterprise-wide transformation
Modernising legacy environments to support resilience, speed, and regulatory reporting expectations
Simplifying architecture to improve data quality, accessibility, and decision-making at scale
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How leaders are strengthening resilience across cyber threats, third-party concentration, climate events, and market volatility
Lessons from disruption events that tested decision authority, escalation paths, and cross-functional coordination
Embedding resilience into operating models so preparedness is continuous, measurable, and owned beyond crisis teams
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Strengthening protection against scams, identity fraud, and payment abuse as volume and velocity increase
Using intelligence and shared signals to detect risk earlier and reduce losses across products and channels
Delivering authentication and verification that supports trust, speed, and accessibility
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Where open banking and real-time payments are delivering tangible value for customers, SMEs, and ecosystems
How collaboration across institutions, fintechs, and partners is expanding choice, speed, and reach
Strengthening trust through secure data-sharing, digital identity controls, and governance
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How institutions are applying AI and analytics to improve decision quality, efficiency, and outcomes across the enterprise
The data foundations required for responsible AI, including quality, governance, transparency, and monitoring
Leadership, skills, and change practices needed to embed AI confidently and sustainably at scale
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Designing services that remain simple, accessible, and fair across diverse customer needs and capabilities
Embedding transparency, suitability, and accountability into digital journeys and service models
Balancing automation and human support to improve outcomes, confidence, and long-term trust
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Upgrading core platforms to meet expectations for reliability, compliance, and real-time service
Moving from fragmented legacy environments to modular, API-enabled architectures
Improving performance and cost efficiency while reducing operational risk
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How advice, investment, and superannuation services are evolving to support long-term customer outcomes
Improving engagement across life stages through clearer digital guidance and service design
Expanding reach while maintaining trust, suitability, and regulatory confidence
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Rationalising platforms to improve resilience, agility, and cost-to-serve
Reducing duplication and technical debt without disrupting core operations
Creating foundations that support future growth and regulatory change
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Progressing climate risk management and sustainable finance with measurable outcomes
Moving beyond reporting to tangible customer, community, and economic impact
Building long-term resilience through purpose-led financial leadership
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Strengthening fraud and scam controls amid rising consumer harm expectations while keeping onboarding and servicing simple
Balancing security, consumer protection obligations, authentication, and verification across channels
Using transparency, clear communication, and harm-reduction measures to strengthen trust and customer outcomes
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Using advanced analytics and AI to improve speed, accuracy, and consistency of decisions
Ensuring explainability, fairness, and accountability in automated decision-making
Aligning decision intelligence with risk appetite and customer expectations
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How institutions are using decision intelligence to materially improve risk outcomes, customer experience, and operational performance
What breaks when organisations move from insight and dashboards to embedded execution across products and channels
The governance and operating models required to keep cognitive capabilities explainable, auditable, and trusted at scale
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Designing secure AI foundations that support lifecycle management, monitoring, and consistent performance
Integrating AI into enterprise data, risk, and customer platforms with appropriate controls
Reducing delivery friction so AI can scale without weakening governance or resilience
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What leadership looks like when AI-supported decision-making becomes part of everyday operations
Aligning culture, skills, risk appetite, and accountability to avoid fragmentation and shadow decisioning
Building confidence and trust with employees, regulators, and customers as intelligence becomes embedded
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How executive teams are making high-impact decisions when certainty is low and scrutiny is high
Real-world lessons on escalation, trade-offs, and accountability across customers, regulators, and shareholders
How leaders are improving decision clarity, pace, and confidence without increasing operational risk
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What the next phase of transformation demands from leaders at a system and industry level
Coordinating capability, investment, and leadership across institutions as expectations converge
Positioning Australian financial services for sustained performance, trust, and competitiveness beyond 2026
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Reserve Your Seat
Seats are limited and reserved for senior leaders shaping the future of Australia’s financial services sector.
Please complete the form below to request your invitation. Confirmed participants will receive a calendar hold and event details by email.
📅 Date: October 21, 2026
📍 Location: Ilumina Sydney
⏰ Time: 9:00 AM – 5:00 PM
With thanks to our partners
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