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Bloomberg Article

Building the intelligent bank

How Agentic AI is transforming experiences, payments and security

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GUIDE

Explore emerging banking trends and practical strategies

A strategic guide for banking leaders

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Readiness report

Identify your readiness tipping point

Financial services leaders face a readiness tipping point. New research reveals how AI, cloud and workforce gaps impact resilience—and what it takes to stay competitive.

03 things
to know
01
85% of executives
agree that a better employee experience translates to a better customer experience and higher revenue.
Source: IDC
02
73% of CEOs
say that deriving value from data is their top priority and is essential to remaining competitive.
03
70% of CEOs
will mandate resilience to survive threats from cybercrime, severe weather, and political instabilities.
Source: Gartner

Turning AI ambition into trusted, enterprise scale outcomes


Canadian financial institutions are moving Artificial Intelligence from experimentation to enterprise deployment to improve efficiency, customer experience, and risk management, while staying accountable to strict regulatory and operational requirements.


Kyndryl helps banks operationalize AI across hybrid cloud, core banking platforms, and mission critical infrastructure, ensuring AI is scalable, resilient, and production ready. By grounding AI in trusted infrastructure, disciplined operations, and responsible execution, we help institutions turn AI ambition into measurable, sustainable outcomes.

industry experts

Our experts, your challenges
Read the Q&A with Kyndryl expert, Akber Samji.

QHow is AI adoption changing in Canadian banking?

AAI is evolving from experimentation into an embedded, enterprise-wide capability across operations, risk, and customer journeys. Consistent with OSFI Guideline E 23, Canadian banks are increasingly treating AI as a core technology risk, requiring clear governance, accountability, and alignment with operational resilience expectations.

QWhat makes scaling AI difficult for financial institutions?

ALegacy platforms, fragmented data, and operational risk concerns often prevent AI initiatives from progressing beyond proof-of-concept stages. Under E 23, institutions must demonstrate control, resilience, and third party oversight throughout the full lifecycle of AI enabled systems, making infrastructure, observability, and disciplined operations essential to scaling AI safely.

QHow does Kyndryl help banks operationalize AI in line with E 23?

AKyndryl focuses on the infrastructure, platforms, and operating models that enable AI to be deployed as a controlled, enterprise grade capability. We help integrate AI into existing environments while supporting E 23 expectations for governance, operational resilience, third party risk, and ongoing technology oversight, helping ensure AI enabled services remain secure, reliable, and auditable as adoption expands.
See more
Akber Samji
Consult Partner
Financial Services
Kyndryl Canada
Akber Samji
Consult Partner
Financial Services
Kyndryl Canada
Latest insights from banking experts
Data and AI
4 disruptive tech trends that will define the future of banking
Article | Sep 13, 2024 | Read time: 4 min
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