From friction to flow Five strategic imperatives shaping Australian banking today
Against a backdrop of heightened geopolitical volatility and market uncertainty, the Australian banking sector is at a high-stakes inflection point.At SAP, we’re listening closely to Australia’s banking leaders, tracking the business pressures they’re under and the technology shifts that can relieve them. Download the DocumentFrom friction to flow
Five strategic imperatives
shaping Australian
banking today
Five strategic imperatives
shaping Australian
banking today
2 | 36
Table
of contents
3 Executive Summary:
The challenges Australia’s banking
leaders are working through right now
7 Chapter 1:
Accelerate customer value delivery
– faster journeys with guardrails
12 Chapter 2:
Modernise continuously without the
big bang – simplify while you change
17 Chapter 3:
Make data a governed product layer
– shared definitions teams can use
23 Chapter 4:
Engineer operational confidence
– reliability and assurance by design
28 Chapter 5:
Scale AI from pilots to
agents – responsibly
33 Conclusion:
Controlled acceleration is the
capability banks must build
Table
of contents
3 Executive Summary:
The challenges Australia’s banking
leaders are working through right now
7 Chapter 1:
Accelerate customer value delivery
– faster journeys with guardrails
12 Chapter 2:
Modernise continuously without the
big bang – simplify while you change
17 Chapter 3:
Make data a governed product layer
– shared definitions teams can use
23 Chapter 4:
Engineer operational confidence
– reliability and assurance by design
28 Chapter 5:
Scale AI from pilots to
agents – responsibly
33 Conclusion:
Controlled acceleration is the
capability banks must build
Executive Summary
The challenges Australia’s
banking leaders are working
through right now
The challenges Australia’s
banking leaders are working
through right now
4 | 36
Executive Summary
Against a backdrop of heightened geopolitical
volatility and market uncertainty, the Australian
banking sector is at a high-stakes inflection point.
That outcome sits directly on top of the
technology agenda. Leaders are seeing that
customer journeys can only improve as fast
as the underlying architecture, data accessibility,
and controls allow—and that ‘business’ and
‘technology’ priorities are increasingly
inseparable in day-to-day execution.
At SAP, we’re listening closely to
Australia’s banking leaders, tracking
the business pressures they’re under
and the technology shifts that can
relieve them.
These themes aren’t theoretical. They reflect
a consistent set of pressures.
Australia’s banks are being asked to deliver
simpler customer experiences amid persistent
cost pressure, tightening resilience expectations,
rising risk and compliance demands, and
accelerating technology change.
Digitisation—a concept firmly embedded into the everyday lexicon—is now
being judged by one outcome: make banking easier.
This paper distils what we’ve
observed into five distinct themes
and offers practical questions
leaders can use to set direction,
prioritise investment, and turn
this inflection point into
measurable outcomes*.
* The examples in this paper are drawn from global banking and financial services
leaders navigating the same pressures, because the patterns that work at scale
internationally are directly transferable to the Australian context.
Executive Summary
Against a backdrop of heightened geopolitical
volatility and market uncertainty, the Australian
banking sector is at a high-stakes inflection point.
That outcome sits directly on top of the
technology agenda. Leaders are seeing that
customer journeys can only improve as fast
as the underlying architecture, data accessibility,
and controls allow—and that ‘business’ and
‘technology’ priorities are increasingly
inseparable in day-to-day execution.
At SAP, we’re listening closely to
Australia’s banking leaders, tracking
the business pressures they’re under
and the technology shifts that can
relieve them.
These themes aren’t theoretical. They reflect
a consistent set of pressures.
Australia’s banks are being asked to deliver
simpler customer experiences amid persistent
cost pressure, tightening resilience expectations,
rising risk and compliance demands, and
accelerating technology change.
Digitisation—a concept firmly embedded into the everyday lexicon—is now
being judged by one outcome: make banking easier.
This paper distils what we’ve
observed into five distinct themes
and offers practical questions
leaders can use to set direction,
prioritise investment, and turn
this inflection point into
measurable outcomes*.
* The examples in this paper are drawn from global banking and financial services
leaders navigating the same pressures, because the patterns that work at scale
internationally are directly transferable to the Australian context.
5 | 36
Executive Summary
The challenges:
• What to modernise first.
• How to prove value.
• How to reduce risk exposure.
• How to keep change moving
without breaking critical operations.
Compliance is the cost of doing business. The
differentiator is reducing the cost-to-comply
while keeping pace with change.
Simultaneously, modernisation is being
funded less as innovation and more as risk
management and cost-to-serve reduction.
End-of-service exposure, operational fragility,
and disproportionate run-cost in legacy
platforms and integration layers create a drag
on capacity, crowding out investment in new
journeys, propositions, and growth.
The strategic intent is clear: simplify while you
change, and shift effort from keeping systems
alive to delivering customer value.
Data is another pressure point, and
that’s because the failure modes
have changed. The sector largely
knows what it wants from data.
The harder problem is execution: ownership,
operating model, regulatory frameworks,
and friction in consumption.
This is driving a shift toward catalogued,
consumable data products with shared
definitions that teams can reuse—so change
doesn’t require bespoke pipelines each time,
and AI, analytics, risk, and reporting initiatives
can start from trusted building blocks.
A set of challenges has emerged that looks less like
‘transformation programs’ and more like a cycle of
continuous decisions.
Meanwhile, AI has moved
quickly, but many leaders still
struggle to evidence
productivity and value at
enterprise scale with confidence.
Adoption is measurable. Sustained,
compliant uplift is harder.
Skills readiness—across technology,
risk, compliance, and the business—is
increasingly a constraint. As agentic AI
patterns emerge, the challenge
becomes twofold: scaling beyond
pilots and doing so responsibly—
embedding guardrails around what
systems can and can’t do, how
outcomes are verified, and how risk
and compliance expectations are met.
Finally, confidence itself is becoming
measurable. Leaders want end-to-end
visibility that links platform signals to
customer journeys and critical
operations. Risk and reliability,
performance, control effectiveness,
and change impact can then be
managed proactively, not discovered
after incidents.
Executive Summary
The challenges:
• What to modernise first.
• How to prove value.
• How to reduce risk exposure.
• How to keep change moving
without breaking critical operations.
Compliance is the cost of doing business. The
differentiator is reducing the cost-to-comply
while keeping pace with change.
Simultaneously, modernisation is being
funded less as innovation and more as risk
management and cost-to-serve reduction.
End-of-service exposure, operational fragility,
and disproportionate run-cost in legacy
platforms and integration layers create a drag
on capacity, crowding out investment in new
journeys, propositions, and growth.
The strategic intent is clear: simplify while you
change, and shift effort from keeping systems
alive to delivering customer value.
Data is another pressure point, and
that’s because the failure modes
have changed. The sector largely
knows what it wants from data.
The harder problem is execution: ownership,
operating model, regulatory frameworks,
and friction in consumption.
This is driving a shift toward catalogued,
consumable data products with shared
definitions that teams can reuse—so change
doesn’t require bespoke pipelines each time,
and AI, analytics, risk, and reporting initiatives
can start from trusted building blocks.
A set of challenges has emerged that looks less like
‘transformation programs’ and more like a cycle of
continuous decisions.
Meanwhile, AI has moved
quickly, but many leaders still
struggle to evidence
productivity and value at
enterprise scale with confidence.
Adoption is measurable. Sustained,
compliant uplift is harder.
Skills readiness—across technology,
risk, compliance, and the business—is
increasingly a constraint. As agentic AI
patterns emerge, the challenge
becomes twofold: scaling beyond
pilots and doing so responsibly—
embedding guardrails around what
systems can and can’t do, how
outcomes are verified, and how risk
and compliance expectations are met.
Finally, confidence itself is becoming
measurable. Leaders want end-to-end
visibility that links platform signals to
customer journeys and critical
operations. Risk and reliability,
performance, control effectiveness,
and change impact can then be
managed proactively, not discovered
after incidents.