Why Most Global Banks Underestimate OSFI E-23 Until It Changes Their Operating Model

Most banks still interpret OSFI E-23 as a vendor governance requirement. That misses the larger operational shift. The real challenge is not managing suppliers, it is governing complex dependency ecosystems where accountability, resilience, and operational control no longer align neatly with organizational boundaries.

Arun Natarajan

6 min read

The Real Misunderstanding About OSFI E-23

Most executives outside Canada initially interpret Office of the Superintendent of Financial Institutions Guideline E-23 as another third-party risk management requirement.

That is usually the first mistake.

E-23 is not fundamentally about vendor governance.

It is about operational accountability in an environment where banks increasingly depend on external technology providers, cloud infrastructure, data platforms, AI ecosystems, and interconnected service chains that leadership teams do not fully control. That distinction matters.

Because many institutions still approach third-party governance as a procurement, compliance, or policy management exercise — while the operating environment has already shifted into something far more complex:

Multi-cloud dependency
Shared infrastructure concentration risk
Embedded AI services
Cross-border data operations
Fourth-party opacity
Continuous software delivery
Platform-driven operational interdependence

The issue OSFI is addressing is not whether a vendor questionnaire exists.

The issue is whether executive leadership actually understands:

which external dependencies matter,
where operational fragility exists,
who owns the risk,
and what happens when critical services fail under stress.

That is a very different leadership problem.

Why Traditional Third-Party Risk Programs Often Fail

Most mature banks already have:

vendor inventories,
procurement workflows,
risk assessments,
contract reviews,
annual attestations,
and issue management processes.

On paper, many institutions appear highly mature.

Yet operational disruptions continue to expose the same structural weaknesses:

unclear ownership,
fragmented accountability,
disconnected technology inventories,
inconsistent criticality models,
incomplete dependency mapping,
and limited understanding of how services actually operate end-to-end.

This is where E-23 becomes operationally disruptive. The guideline quietly changes the executive expectation from:

“Do you have a third-party risk process?”

to:

“Can leadership demonstrate operational control over externally dependent services?”

Those are not equivalent questions. One measures administrative process maturity. The other measures institutional resilience.

The Dangerous Assumption: “Critical Vendors” Are the Main Risk

One of the more persistent misconceptions in financial services is the belief that third-party risk primarily resides in a relatively small list of “critical vendors.” That assumption increasingly breaks down in modern banking architecture.

In reality:

a seemingly low-tier API provider,
a niche software library,
a cloud identity dependency,
a managed data pipeline,
or a shared infrastructure service

can create systemic operational disruption.

The operational impact no longer correlates neatly with procurement spend or contract classification. This creates a leadership challenge many governance programs were not designed to solve.

Traditional vendor governance models evolved around:

procurement relationships,
contract negotiation,
financial due diligence,
and supplier lifecycle management.

Modern operational dependency risk behaves more like interconnected systems engineering. E-23 implicitly recognizes this transition. That is why organizations attempting to “fit E-23 into existing vendor governance processes” often struggle. The regulation is pushing institutions toward operational dependency governance — not simply supplier administration.

The Shift from Vendor Management to Dependency Governance

This is the mental model many organizations still miss.

Old Model

Vendor-centric governance

Focus on supplier relationship
Contract lifecycle orientation
Procurement-led workflows
Point-in-time assessments
Annual reviews
Policy compliance evidence

Emerging Model

Dependency-centric governance

Focus on operational services
End-to-end service resilience
Continuous monitoring
Cross-functional accountability
Architecture visibility
Operational impact analysis
Recovery capability validation

That transition sounds subtle. Operationally, it is enormous.

Because dependency governance requires:

technology teams,
operational risk,
architecture,
cybersecurity,
resilience teams,
data governance,
legal,
compliance,
and business operations

to operate from a shared understanding of service criticality and operational exposure.

Many organizations are not structurally organized for that level of integration.

Why Cloud Adoption Changes the Regulatory Conversation?

Cloud adoption accelerated faster than governance operating models evolved. That reality exists across the industry, not just in Canada.

For years, many transformation programs measured success through:

migration velocity,
application modernization,
infrastructure reduction,
developer productivity,
and cost optimization.

Those metrics are not wrong. But they are incomplete. Because cloud concentration risk introduces a new category of systemic exposure:

common infrastructure dependencies,
region-level outages,
identity service failures,
shared control limitations,
and asymmetric operational leverage between financial institutions and hyperscalers.

The challenge for regulators is obvious.

If a small number of infrastructure providers support large portions of the financial system, operational resilience becomes partially externalized. E-23 reflects growing regulatory discomfort with that dependency concentration. Not because cloud is inherently unsafe.

But because many institutions adopted cloud operating models without fully redesigning:

accountability models,
resilience validation,
dependency transparency,
and failure management disciplines.

The Part Many Executives Underestimate: Accountability Does Not Transfer

This may be the single most important leadership principle inside E-23. Operational accountability remains with the financial institution. Not the vendor. Not the cloud provider. Not the managed service partner. This sounds obvious in principle. But operating behavior often contradicts it.

A recurring failure pattern inside large organizations looks like this:

Technology teams assume vendor SLAs reduce accountability exposure.
Procurement teams assume signed contracts reduce operational uncertainty.
Business leaders assume outsourced capabilities transfer operational responsibility.
Risk teams assume documented governance processes demonstrate control.

Then an outage occurs and leadership discovers:

recovery dependencies were unclear,
failover assumptions were incomplete,
operational ownership was fragmented,
and escalation paths did not align with actual execution realities.

E-23 forces institutions to confront a difficult operational truth:

You can outsource technology operations.

You cannot outsource regulatory accountability.

Why Inventory Management Becomes a Strategic Capability

Many executives still underestimate how foundational inventory management becomes under modern operational resilience expectations.

Not asset inventory in the narrow CMDB sense. Operational dependency inventory.

That includes:

applications,
data dependencies,
infrastructure services,
external providers,
APIs,
operational processes,
recovery paths,
supporting personnel,
and upstream/downstream relationships.

Most institutions have fragments of this information spread across:

architecture repositories,
procurement systems,
cybersecurity tools,
cloud platforms,
operational risk systems,
and spreadsheets.

Very few maintain authoritative operational dependency visibility.

That becomes a major problem during:

incidents,
regulatory reviews,
resilience testing,
cloud outages,
cyber events,
and service degradation scenarios.

E-23 indirectly pressures institutions toward integrated operational intelligence models.

Not because regulators want more documentation.

Because fragmented visibility produces unreliable operational decision-making under stress.

AI Changes the Complexity Again

Many organizations are only beginning to recognize how AI complicates third-party dependency governance.

Particularly:

external AI APIs,
foundation model providers,
embedded AI capabilities,
agentic automation,
model hosting platforms,
and AI-enabled operational decisioning.

The challenge is not only model risk. It is operational opacity.

Institutions may not fully understand:

training lineage,
infrastructure dependencies,
inference routing,
data residency,
model update frequency,
subcontractor ecosystems,
or operational failure propagation paths.

This creates a governance gap traditional third-party frameworks were not designed for. A vendor questionnaire cannot fully solve dynamic AI dependency risk. Especially when operational behavior changes continuously. This is where many current governance programs begin to show structural limitations.

The Institutions That Will Struggle Most

The organizations most likely to struggle with E-23 are not necessarily smaller banks.

In many cases, it will be highly complex enterprises with:

decentralized technology ownership,
fragmented data architectures,
overlapping governance functions,
inconsistent service taxonomies,
acquisition-driven environments,
and siloed operational accountability.

Complexity itself becomes the risk amplifier.

Especially when institutions cannot clearly answer:

Which services are operationally critical?
Which external dependencies support them?
Which controls actually matter?
Who owns recovery decisions?
What are the real operational tolerances?
Which dependencies are replaceable?
Which are effectively systemic?

These are executive operating model questions. Not simply compliance questions.

The Wrong Way to Implement E-23

The least effective response is predictable. Large-scale documentation exercises. Massive policy expansion. Excessive assessment workflows. Vendor questionnaire proliferation. Manual governance overhead.

That approach often creates:

governance fatigue,
operational friction,
weak adoption,
and low-quality control evidence.

More importantly, it creates the illusion of control rather than actual operational resilience.

Institutions that succeed will likely focus less on documentation volume and more on operational clarity.

That means:

clearer ownership,
dependency transparency,
service criticality alignment,
resilience testing,
recovery realism,
architecture visibility,
and integrated operational governance.

The difference is significant. One approach optimizes for audit defensibility. The other optimizes for operational survivability.

What E-23 Is Really Forcing Leadership Teams to Confront

At its core, E-23 is not asking whether institutions manage vendors properly. It is asking whether modern financial institutions truly understand how their businesses operate under dependency-driven conditions. That is a much harder question. Because many enterprises evolved faster than their governance models. Technology architectures changed. Delivery models changed. Cloud adoption changed. AI ecosystems changed.

But accountability structures often remained fragmented across:

procurement,
operational risk,
cybersecurity,
engineering,
resilience,
compliance,
and business operations.

E-23 exposes those seams. And that is precisely why many executives initially underestimate its significance.

Executive Takeaway

The strategic importance of E-23 is not that it introduces another regulatory obligation.

The significance is that it reflects a broader global regulatory transition:

From supervising institutions as standalone organizations… to supervising them as interconnected operational ecosystems. That changes the governance challenge entirely. The banks that respond successfully will not treat E-23 as a vendor management initiative.

They will treat it as an operating model redesign around:

dependency visibility,
resilience accountability,
operational transparency,
and institutional decision-making under uncertainty.

Because in modern banking, resilience is no longer determined solely by the systems you own.It is increasingly determined by the dependencies you do not fully control.

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Disclaimer:
This article reflects independent professional analysis and industry interpretation intended for informational and educational purposes only. It does not constitute legal, regulatory, compliance, investment, cybersecurity, audit, or consulting advice. Organizations should evaluate all regulatory obligations, operational decisions, and governance approaches in consultation with qualified legal, compliance, risk, and technology professionals appropriate to their jurisdiction and operating model.

The views expressed are personal and do not represent the official position of any employer, regulator, financial institution, client, or affiliated organization.

OSFI guidance, regulatory expectations, and supervisory interpretations may evolve over time. Readers are encouraged to review the latest official publications and applicable regulatory requirements directly from OSFI and other authoritative sources.

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