Canadian Insurance Transformation
Executive Summary
Canadian insurance is entering a more demanding phase of transformation.
The industry remains resilient, but resilience should not be confused with simplicity. Insurers are navigating consolidation, climate-related losses, claims inflation, rising customer expectations, AI adoption, cyber and third-party risk, distribution shifts, regulatory scrutiny, workforce pressure, and the need to modernize technology platforms while continuing to deliver stable performance.
The strategic direction is not usually the problem. Most insurers already know the agenda: grow profitably, improve customer and advisor experience, use AI responsibly, modernize core platforms, strengthen claims and underwriting performance, expand distribution, manage capital effectively, and maintain resilience under heightened risk.
The harder question is whether the operating model can execute that agenda.
As insurers scale through acquisition, expand across banners and business units, modernize technology, and embed AI into claims, underwriting, servicing, distribution, and risk management, the operating model becomes the system that determines whether strategy turns into value. Structure, governance, decision rights, data, accountabilities, operating rhythms, leadership behaviours, and integration discipline are no longer internal design choices. They are strategic capabilities.
The most important test is increasingly visible to customers, brokers, advisors, employees, and partners:
Does the operating model allow the organization to feel like one coherent enterprise, even when it operates across multiple brands, channels, products, regions, and legacy platforms?
For Canadian insurance leaders, the message is practical. Scale is not enough. Technology is not enough. AI use cases are not enough. Transformation activity is not enough. The insurers that outperform will be those that simplify how work gets done, clarify who owns critical decisions, connect technology to workflow, govern execution risk with discipline, and create cohesive experiences across the enterprise.
This is where operating model design becomes a C-suite issue.
The Canadian Insurance Sector Is Resilient, but the Work Is Getting Harder
Canadian insurers are operating from a position of strength, but the environment around them is becoming more complex.
Canada’s life and health insurers paid out a record $143.3 billion in benefits in 2024, including $53.3 billion in health claims. Health benefits cover 27 million Canadians, and the sector employs more than 180,000 people while holding more than $1 trillion in long-term investments. That scale makes insurance both a major economic sector and an essential part of Canada’s health, retirement, financial security, and risk protection infrastructure.
In property and casualty insurance, climate and catastrophe risk are reshaping the economics of the business. Insurance Bureau of Canada reported that severe weather-related insured losses exceeded $2.4 billion in 2025, making it the tenth-costliest year on record for severe weather insured losses in Canada. IBC also reported that annual insured losses due to catastrophic weather events and wildfires totalled $37 billion from 2016 to 2025, nearly triple the prior decade. Statistics Canada’s June 2026 analysis found that homeowners’ home and mortgage insurance premiums increased 45.0% from December 2019 to December 2025, more than double the all-items CPI increase of 21.0% over the same period.
Regulatory scrutiny is also moving closer to the heart of transformation. OSFI’s 2026 to 2027 Annual Risk Outlook states that Canada’s federally regulated insurers continue to demonstrate resilience amid structural and cyclical pressures, including geopolitical uncertainty, integrity and security risks, rapid technology change, ongoing catastrophe-related losses, competitive shifts in operating and distribution models, and inorganic growth strategies that contribute to increased execution risk.
That is an important shift. Execution risk is no longer only a project delivery concern. It is part of how boards, regulators, and executive teams need to think about resilience.
OSFI’s insurance supervisory priorities for 2026 to 2027 include monitoring insurers’ strategic direction and business model evolution, including the integration of AI into core operations, execution risks associated with inorganic growth, post-transaction integration, business integration, AI risk oversight, and the governance of execution risk for complex technology and business transformations.
For insurance leaders, this raises the bar.
It is no longer enough to have a transformation roadmap, an integration plan, a digital strategy, or an AI portfolio. The enterprise needs an operating system capable of absorbing change, managing risk, making decisions, and sustaining performance while the business is being reshaped.
The practical question is:
Can the organization execute more complexity without becoming more complicated?
For many insurers, the answer depends on operating model design.
Consolidation Creates Scale. The Operating Model Determines Whether Scale Creates Value.
Consolidation is one of the clearest forces reshaping Canadian insurance.
In P&C, scale is increasingly important because technology modernization, pricing sophistication, claims capabilities, broker platforms, data infrastructure, catastrophe risk management, and compliance all require ongoing investment. Larger carriers can spread those investments across broader premium bases and use scale to strengthen distribution relevance, underwriting sophistication, and operational efficiency.
Definity’s acquisition of Travelers Canada is a clear public example of this pattern. Definity reported that the transaction closed on January 2, 2026, enhanced pro forma gross written premiums by approximately $1.5 billion, and delivered on its top-five strategic aspiration in Canadian P&C insurance. In its Q2 2026 results, Definity said the Travelers integration continued to progress well and that it had increased its annual pre-tax expense synergy target by 25% to $125 million.
But the value of consolidation is not created by the announcement. It is created through integration.
The integration work is where operating model design becomes decisive. Leaders need to harmonize products, migrate policies, consolidate platforms, align underwriting and claims practices, protect broker and customer experience, retain critical talent, manage cultural integration, and realize synergies without destabilizing performance.
This is not only a technical conversion. It is an enterprise operating model challenge.
The same principle applies beyond P&C. In life, health, wealth, benefits, asset management, and banking-adjacent businesses, insurers are using acquisition, partnerships, reinsurance, product innovation, and ecosystem relationships to build scale, reach, and capability. Manulife’s 2025 MD&A describes a global business operating as Manulife across Canada and Asia, primarily as John Hancock in the United States, and through Manulife Wealth & Asset Management globally. At the end of 2025, Manulife served more than 37 million customers across 25 markets, with more than 37,000 employees, over 106,000 agents, thousands of distribution partners, and $1.7 trillion in assets under management and administration.
For large insurers, the strategic question is not whether scale is attractive. It often is. The question is whether the operating model can convert scale into better decisions, lower friction, stronger customer relationships, improved productivity, and disciplined risk management.
Without that, scale can increase complexity faster than it creates value.
Cohesive Customer Experience Is Now an Operating Model Test
In insurance, customer experience is often discussed as a digital, service, claims, advisor, broker, or brand issue. Increasingly, it is an operating model issue.
The customer does not experience the insurer through the org chart. A broker does not care which internal team owns underwriting, policy administration, claims, billing, digital enablement, or broker technology. An advisor does not experience product, compliance, operations, platform support, underwriting, and wealth solutions as separate strategic priorities. A customer navigating a claim, renewal, health event, retirement decision, family transition, or financial stress does not think in terms of business units.
They experience the insurer as one enterprise.
This is where operating model design becomes visible. If brands, business units, platforms, data, service models, decision rights, and governance are disconnected, the customer experience becomes fragmented. The issue may appear as a service problem, but the root cause is often structural.
For multi-brand and multi-channel P&C insurers, the goal is not sameness. Distinct brands and channels exist for good strategic reasons. Definity’s public brand portfolio illustrates this kind of strategic differentiation: Economical is distributed through licensed broker partners and serves individual, commercial, and farm customers; Sonnet is a direct online insurance brand; Family Insurance Solutions distributes home and optional auto insurance in British Columbia; and Petline provides pet health insurance through Petsecure and Peppermint.
That kind of portfolio can create strategic advantage. It can also create customer, broker, employee, data, technology, and governance complexity if the enterprise operating model does not define where consistency matters and where differentiation creates value.
For life, health, wealth, and benefits insurers, the experience challenge is different but equally important. Manulife’s stated strategic priorities include becoming the most trusted partner in health, wealth, and financial well-being, making it easier for customers to buy, advisors to sell, and partners to grow, and delivering connected experiences through digital-first unified platforms for sales and servicing. Those aspirations depend on more than product breadth. They depend on whether the operating model can connect business units around customer life stages rather than internal product lines alone.
The test is practical:
- Can a customer with multiple relationships be recognized as one customer?
- Can a broker or advisor see consistent service logic across product lines and escalation paths?
- Can claims, underwriting, servicing, renewal, billing, advice, and digital touchpoints work as part of a coherent journey?
- Can different banners remain differentiated while the enterprise reduces unnecessary friction?
- Can leaders resolve cross-business-unit trade-offs quickly enough to protect the experience?
Cohesion does not mean forcing every business unit, channel, or brand to operate identically. It means defining where the enterprise must feel connected, and designing the operating model to deliver that connection.
The insurers that get this right will preserve the value of differentiated banners while reducing the friction that customers, brokers, advisors, partners, and employees feel when the enterprise does not work as one system.
AI Is Becoming an Operating Model Change, Not a Technology Workstream
AI is now part of the insurance transformation agenda across claims, underwriting, fraud detection, service, advisor enablement, distribution, risk modelling, portfolio management, and operational productivity.
The opportunity is real. KPMG’s 2025 Insurance CEO Outlook found that more than 73% of insurance CEOs agree AI is a top investment priority, while 67% expect returns from AI investments within one to three years. Manulife reported 91 AI use cases in production and 121 in development as of December 31, 2025, and described its proprietary Agentic AI Platform as a foundational element of its enterprise AI strategy, intended to help coordinate AI tools across systems, share ideas, work and code across markets, and streamline parts of AI governance through automated safety and risk checks.
This is the next operating model test.
AI value does not come from isolated use cases. It comes when the organization redesigns the work around the technology. That means clarifying which decisions can be automated, which require human judgement, which need second-line oversight, which require customer or advisor explanation, and which require board-level risk appetite alignment.
An AI-enabled insurer needs more than models and tools. It needs clean and governed data, ownership of AI-enabled decisions, responsible AI controls, workflow integration, updated role design, training, adoption support, model risk management, customer and advisor transparency, and performance metrics that measure value rather than deployment alone.
OSFI’s 2026 to 2027 Annual Risk Outlook states that AI adoption can deliver material benefits, efficiencies, and competitiveness when implemented responsibly, while also creating more points of vulnerability and amplifying existing risks. OSFI says it will continue assessing the implications of AI on model, cyber, fraud, money laundering, and third-party risks. OSFI’s final Guideline E-23 on Model Risk Management, effective May 1, 2027, applies to federally regulated financial institutions including life, P&C, and fraternal companies, and states that AI and machine-learning models can heighten model risk, including financial loss, operational loss, legal implications, and reputation damage from flawed decision-making.
The implication is clear. AI cannot be bolted onto old work and expected to produce enterprise value.
An insurer can deploy AI into claims triage, but if claims handlers, fraud teams, vendors, customer service, data teams, compliance, and risk oversight are not aligned, the tool may improve one step while adding friction elsewhere.
An insurer can use AI for underwriting, but if pricing, risk appetite, broker experience, product governance, and explainability are not designed together, the organization may gain speed while creating new risk.
An insurer can deploy AI for advisor enablement, but if the advice model, compliance rules, training, and customer segmentation are unclear, adoption may remain shallow.
AI does not eliminate the need for operating model discipline. It increases it.
Climate, Claims, and Affordability Are Pressuring the Enterprise System
P&C insurers are confronting a more volatile claims environment.
IBC reported that 2024 was the costliest year for severe weather insured losses in Canadian history, with insured damage surpassing $8 billion. Statistics Canada’s updated analysis reported that catastrophic claims reached $8.6 billion in 2024, surpassing the previous record set in 2016, and that every year from 2020 to 2025 ranked among the top ten costliest years on record for extreme weather claims since tracking began in 1983.
This creates a difficult leadership challenge. Insurers need to price risk appropriately, manage reinsurance costs, control claims leakage, invest in prevention and resilience, protect affordability where possible, and maintain customer trust.
That cannot be managed effectively through disconnected functions.
Climate and claims pressure connect underwriting, pricing, actuarial, claims, reinsurance, product, broker management, customer communication, data, fraud detection, vendor management, sustainability, and government relations. If these groups operate through separate priorities and slow decision forums, the insurer will struggle to respond quickly enough.
Deloitte Canada’s 2026 perspective on P&C claims argues that claims functions are becoming seamless, fast, and AI-enabled, while surge readiness is becoming a core capability rather than a contingency plan. It also frames talent strategy as business strategy, with automation refocusing expertise toward judgement, negotiation, and experience.
That is consistent with the broader operating model point. Claims transformation is not only about digitizing intake, improving cycle time, or deploying automation. It is about designing the end-to-end system so data, judgement, empathy, controls, vendor capacity, surge readiness, and customer communication work together under pressure.
The insurers that manage climate and claims volatility most effectively will not simply have better analytics. They will have operating models that allow analytics to change decisions.
Where Insurance Transformation Breaks Down
Most insurers do not fail because their strategies are weak. They struggle because the operating model is too complex to execute the strategy consistently.
Complexity often accumulates over time. A new platform is added. A new product is launched. A new acquisition is integrated. A new risk committee is created. A new analytics capability is introduced. A new distribution partnership is signed. A new regulatory requirement is addressed. A new team is formed to accelerate innovation.
Each move may be reasonable. Together, they can create a system that becomes hard to lead.
The most common breakdowns are predictable.
01
Customer experience is optimized in pieces, not designed as an enterprise system
Many insurers improve individual touchpoints without redesigning the operating model behind the full journey. A claims experience may improve. A digital portal may be modernized. An advisor platform may be enhanced. A service process may be streamlined.
But if these improvements are owned separately, governed separately, measured separately, and delivered through disconnected data and technology, the enterprise experience may still feel fragmented.
For insurers operating across multiple banners, channels, products, and business units, the question is not whether each unit is improving. The question is whether the improvements add up to a coherent experience.
02
Decision rights are unclear
Leaders know what needs to improve, but they do not always know who has authority to make the trade-off.
In insurance, many decisions cut across growth, risk, capital, customer experience, pricing, claims, technology, distribution, compliance, and regulatory obligations. Without clear decision rights, decisions escalate, slow down, or get revisited repeatedly.
Who owns the customer journey when claims, underwriting, billing, servicing, broker experience, and digital all touch it? Who owns the economics of a product when capital, distribution, claims, pricing, and customer value point in different directions?
Who decides when an AI-enabled recommendation is sufficient, and when human judgement must override it?
Who decides whether integration speed should be prioritized over experience stability?
If those answers are unclear, execution slows.
03
Governance monitors work but does not move work
Many transformation structures produce reporting, but not resolution. Leaders receive updates, risks are logged, and decks are created, but decisions are not made fast enough to remove barriers.
For complex insurance transformation, governance must do more than oversee. It must enable trade-offs, clarify accountability, stop low-value work, manage risk appetite, allocate scarce capacity, and protect delivery momentum.
This is increasingly important because OSFI has made execution risk governance part of its 2026 to 2027 insurance supervisory focus, including complex technology and business transformations.
04
Platforms are modernized without simplifying the work
Technology modernization can create value, but only if the work changes.
If legacy processes, unclear ownership, manual workarounds, duplicated controls, and overlapping accountabilities remain, new platforms can digitize complexity instead of reducing it.
This is especially important in regulated environments. OSFI’s Guideline B-13 on Technology and Cyber Risk Management sets expectations for governance, technology operations, resilience, architecture, project management, change and release management, and cyber security across federally regulated financial institutions. The technology agenda is therefore not just a CIO agenda. It is an enterprise operating model agenda.
05
Integration focuses on systems and synergies, but not the full operating model
In M&A, system migration and synergy tracking are essential. But they are not enough.
Integration also requires clarity on leadership accountabilities, decision forums, cultural norms, customer and broker experience, risk ownership, performance management, talent retention, third-party dependencies, and operating rhythms.
The integration question should not only be, “Can we migrate the business?” It should be, “Can we create a stronger enterprise without making the experience harder for customers, brokers, advisors, employees, and partners?”
06
Leaders are overextended
Large insurers often have more transformation initiatives in flight than leadership teams can realistically absorb. When everything is a priority, executive attention becomes the bottleneck.
Transformation then creates fatigue instead of momentum.
The issue is rarely a lack of effort. It is often a lack of sequencing. The organization tries to execute more change than the operating model, leadership system, and front line can absorb.
Simplify the Operating Model Before Investing in More Capability
The most consistent barrier to effective insurance transformation is an operating model complex enough to make execution slow, expensive, and inconsistent.
Insurers that have accumulated overlapping technology systems, duplicated processes, unclear ownership of customer, broker, advisor, and employee journeys, fragmented governance, and disconnected business units are not well placed to respond to market change or realize the value of new investment.
Simplification before acceleration is the right sequence.
For insurers, simplification does not mean reducing ambition. It means making the system easier to execute.
It means clarifying:
- Which priorities create the greatest enterprise value
- Which work must stop, wait, or move now
- Which decisions sit at enterprise level, business-unit level, function level, and front-line level
- Which governance forums make decisions and which only create reporting
- Which platforms and processes should be harmonized
- Which accountabilities are duplicated or unclear
- Which customer, broker, advisor, partner, or employee journeys need end-to-end ownership
- Which controls are essential and which have become friction without enough value
- Which capabilities must be built internally and which can be accessed through partners
This is the core operating model argument:
Insurers do not need more transformation activity until the system of execution is clear enough to absorb it.
That message is especially relevant for insurers managing post-acquisition integration, platform modernization, AI adoption, claims transformation, distribution expansion, risk governance, customer experience, and growth under regulatory scrutiny.
The instinct is often to accelerate first: launch the program, buy the platform, add the capability, assign the team, expand the roadmap, create the committee.
The more effective sequence is to simplify first.
Simplify the work. Clarify the decisions. Rationalize the technology landscape. Align the operating rhythm. Remove duplication. Redesign governance. Establish clear ownership of outcomes. Then invest in capability the organization is ready to use.
This is not a slower path. It is often the faster one, because it reduces rework, misalignment, decision churn, and stalled execution.
The Insurance Operating Model Coherence Test
Insurance leaders should be asking a sharper set of operating model questions.
Enterprise and customer experience
- Can customers move across products, channels, claims, service, and advice without reintroducing themselves to the organization?
- When a customer has more than one relationship with the insurer, does the organization recognize and act on that broader relationship?
- Do brokers, advisors, and partners experience consistent service standards, escalation paths, and decision logic across banners or business units?
- Are claims, underwriting, servicing, billing, renewal, and advice experiences governed as connected journeys or separate operational processes?
- Does the operating model protect brand differentiation while reducing unnecessary enterprise fragmentation?
Decision rights and governance
- Are decision rights clear for the moments where growth, risk, capital, customer experience, cost, and speed conflict?
- Does governance help the organization make decisions, or does it mostly create reporting?
- Do leaders have a forum where cross-business-unit experience issues are resolved with clear authority?
- Can leaders identify where execution is stuck, who owns the barrier, and what decision is needed next?
Technology, data, and AI
- Are technology investments simplifying work, or adding more process layers?
- Are AI use cases connected to workflow, accountability, adoption, controls, and value measurement?
- Are data definitions consistent enough to support enterprise-level customer, broker, advisor, and performance decisions?
- Are model risk, cyber risk, and third-party risk managed as part of the operating model rather than added after design decisions are made?
Capacity and sequencing
- Do leaders know which work should stop, wait, or move now?
- Is transformation sequenced according to leadership capacity and organizational absorption, or only according to ambition?
- Are front-line and operational teams given capacity to adopt change, or are they expected to absorb change on top of existing work?
What High-Performing Insurers Do Differently
High-performing insurers do not simply move faster. They create operating models that allow speed, control, accountability, and cohesion to coexist.
1. They design for enterprise coherence without forcing sameness
Different banners, channels, products, and markets may require distinct propositions. High-performing insurers do not flatten the business into one generic experience. Instead, they define where consistency matters and where differentiation creates value. They create shared principles for service, data, decision-making, escalation, risk, customer treatment, and performance management. This allows the organization to preserve strategic differentiation while reducing the fragmentation that customers, brokers, advisors, employees, and partners often feel.
2. They treat execution risk as an enterprise risk
Execution risk is not left to program teams. It is actively governed by executive teams and boards because it affects capital, resilience, customer outcomes, regulatory confidence, and shareholder value.
This is aligned with OSFI’s current supervisory focus on execution risk, post-transaction integration, AI, business integration, cyber preparedness, third-party risk, and risk governance.
3. They turn scale into simplicity
They do not allow scale to become bureaucracy. They use scale to rationalize platforms, simplify processes, improve analytics, strengthen talent, reduce duplication, and increase consistency where consistency creates value.
4. They clarify decision rights before launching new work
They define who decides, who advises, who owns execution, who manages risk, and when issues escalate. This reduces the executive bottleneck and prevents decision churn.
5. They connect AI to workflow and accountability
They do not treat AI as a separate innovation portfolio. They embed AI into core workflows with clear controls, adoption plans, role design, data standards, model oversight, and performance measures.
6. They design governance to resolve trade-offs
Their governance forums exist to make decisions, allocate capacity, manage risk, and remove barriers. Reporting is a means to better decisions, not the purpose of the forum.
7. They sequence transformation by capacity
They understand that leadership attention, change absorption, and front-line capacity are finite. They sequence the work so the organization can deliver, adopt, and sustain the change.
8. They protect trust while modernizing
Insurance is a trust business. High-performing insurers improve efficiency and digital capability without losing the human judgement, empathy, fairness, and transparency that customers, advisors, brokers, regulators, and employees expect.
How mBolden Helps Canadian Insurance Leaders
mBolden works with organizations at the point where strategy, complexity, and execution risk meet.
For insurance leaders, this often means helping the executive team clarify the operating model required to deliver transformation, integration, modernization, AI adoption, customer experience, and growth without adding unnecessary complexity.
Focus areas include:
- Operating model design for insurance transformation
- Post-acquisition integration governance and execution support
- Cohesive customer, broker, advisor, and employee experience across banners and business units
- Decision rights and accountability design
- Transformation governance and executive operating rhythms
- AI adoption operating model and leadership alignment
- Claims, underwriting, servicing, distribution, and shared service workflow simplification
- Cross-functional journey ownership
- Leadership capacity planning and transformation sequencing
- Risk-informed execution planning for complex regulated environments
Conclusion: The Next Insurance Advantage Is Execution Capacity
Canadian insurance is not entering a period where leaders can choose between growth, technology, resilience, customer experience, and risk discipline. They need all of them at once. P&C insurers need to manage consolidation, claims volatility, catastrophe risk, broker relevance, platform modernization, affordability pressure, and the customer experience across brands and channels.
Life and health insurers need to deepen customer relationships, support financial security and well-being, integrate digital and human advice, and manage health, wealth, benefits, and retirement needs across life stages.
Large multi-market insurers need to scale AI responsibly, modernize operations, strengthen governance, manage third-party and cyber risks, and maintain trust across complex organizations.
In this environment, strategy is not enough.
The insurers that outperform will be those that make the operating model a strategic asset. They will simplify before they accelerate. They will clarify decision rights before adding more work. They will connect AI to workflow before scaling use cases. They will treat integration as enterprise design, not only migration. They will govern transformation as a source of resilience, not only as a project discipline. And they will design customer, broker, advisor, employee, and partner experiences that feel coherent across banners and business units.
The future of Canadian insurance will reward organizations that can convert ambition into execution.
That is where the competitive gap is widening.
Frequently Asked Questions
What is Canadian insurance transformation?
Canadian insurance transformation refers to the work insurers are doing to modernize how they grow, operate, serve customers, manage risk, use technology, and create value. It includes operating model design, AI adoption, platform modernization, claims and underwriting transformation, post-acquisition integration, distribution evolution, customer experience improvement, and stronger governance.
The need for transformation is being shaped by several forces at once: climate-related losses, affordability pressure, AI, cyber and third-party risk, consolidation, shifting distribution models, and rising expectations from customers, brokers, advisors, regulators, and employees. OSFI’s 2026 to 2027 Annual Risk Outlook identifies AI, cyber and technology, integrity and security, third-party risk, business model evolution, post-transaction integration, and execution risk as important supervisory areas for federally regulated insurers.
Why is operating model design important for Canadian insurers?
Operating model design determines how an insurer turns strategy into execution. It defines how work flows across the organization, who owns key decisions, how governance works, how data and technology support the business, and how teams coordinate across products, channels, regions, and business units.
For insurers, this is now a C-suite issue. OSFI has stated that it will assess execution risk in complex technology and business transformations, including AI integration, business integration, post-transaction integration, cyber preparedness, third-party risk, risk appetite, and board oversight.
A strong insurance operating model helps leaders move faster without losing control. A weak one creates delay, duplication, fragmented customer experience, unclear accountability, and execution risk.
What does “simplify before you accelerate” mean for insurance leaders?
“Simplify before you accelerate” means insurers should clarify the operating system before adding more capability, technology, initiatives, or transformation activity.
Many insurers have accumulated overlapping systems, duplicated processes, unclear decision rights, disconnected business units, and fragmented customer, broker, advisor, and employee journeys. When new investments are added to that complexity, the organization may become busier without becoming more effective.
Simplification means clarifying the value agenda, decision rights, governance, journey ownership, technology dependencies, accountability, and sequencing of work. The goal is not to reduce ambition. The goal is to make the organization easier to lead, easier to operate, and better able to execute.
How does consolidation affect insurance operating models?
Consolidation can create scale, but integration determines whether that scale creates value.
In P&C insurance, scale can support technology investment, platform consolidation, pricing sophistication, claims capability, broker relevance, underwriting discipline, and operational efficiency. Definity’s acquisition of Travelers Canada is a public example. Definity reported that the transaction closed on January 2, 2026, enhanced pro forma gross written premiums by approximately $1.5 billion, and delivered on its top-five strategic aspiration in Canadian P&C insurance.
The operating model question is what happens after the transaction closes. Leaders need to harmonize platforms, clarify accountabilities, protect broker and customer experience, align underwriting and claims practices, retain talent, manage cultural integration, and realize synergies without destabilizing the business.
Why does customer experience across banners and business units belong in an operating model discussion?
Customer experience is often treated as a digital, service, claims, brand, broker, or advisor issue. In complex insurers, it is also an operating model issue.
Customers, brokers, advisors, employees, and partners do not experience the insurer through its internal structure. They experience whether the enterprise feels coherent. If brands, systems, data, service models, escalation paths, decision rights, and governance are disconnected, the experience can feel fragmented even when individual teams are performing well.
This is especially relevant for multi-brand and multi-channel insurers. Definity’s brand portfolio includes Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline, with different distribution models, products, and customer propositions. Manulife operates across Canada, Asia, the United States, and global wealth and asset management, serving more than 37 million customers at the end of 2025. The goal is not sameness.
The goal is coherence where customers, brokers, advisors, employees, and partners feel the seams.
Should insurers standardize every brand, business unit, and channel?
No. Cohesion does not mean forcing every brand, business unit, or channel to operate the same way.
Different banners and business units often exist for sound strategic reasons. A broker-led commercial business, a direct digital personal lines business, a group benefits business, an advisor-led wealth business, and a specialty insurance business may each need different propositions, capabilities, and operating rhythms.
The better question is where consistency creates value and where differentiation creates value. Insurers should standardize the elements that reduce friction, improve risk management, strengthen service, clarify decision-making, and support enterprise insight. They should preserve differentiation where it strengthens customer relevance, channel strategy, brand positioning, or market responsiveness.
How is AI changing insurance operating models?
AI is moving from experimentation to enterprise operating model design.
Insurers are using AI across claims, underwriting, service, advisor enablement, distribution, fraud detection, productivity, and risk management. Manulife reported 91 AI use cases in production and 121 in development as of December 31, 2025, and described its proprietary Agentic AI Platform as part of its enterprise AI strategy.
The operating model challenge is that AI value does not come from use cases alone. It depends on workflow redesign, data governance, decision rights, model risk management, adoption, human oversight, training, customer and advisor transparency, and performance measurement.
OSFI has also stated that AI can deliver benefits when implemented responsibly, while creating more points of vulnerability and amplifying existing risks across model, cyber, fraud, money laundering, and third-party risk.
How are climate risk and affordability changing P&C insurance transformation?
Climate risk, claims volatility, and affordability pressure are forcing P&C insurers to operate in a more integrated way.
Insurance Bureau of Canada reported that severe weather-related insured losses exceeded $2.4 billion in 2025, making it the tenth-costliest year on record for severe weather insured losses in Canada. IBC also reported that insured losses from catastrophic weather events and wildfires totalled $37 billion from 2016 to 2025, nearly triple the prior decade.
Statistics Canada reported that homeowners’ home and mortgage insurance premiums increased 45.0% from December 2019 to December 2025, more than double the all-items CPI increase of 21.0% over the same period.
These pressures connect underwriting, pricing, claims, reinsurance, product, broker management, customer communication, data, fraud detection, vendor management, and public policy. Insurers need operating models that allow insight to become action quickly, with appropriate governance and risk discipline.
Why is this relevant to life, health, wealth, and benefits insurers?
Life, health, wealth, and benefits insurers are managing a different version of the same operating model challenge: customers need connected support across life stages, while organizations are often structured around products, channels, regions, or legacy platforms.
Canada’s life and health insurers paid out $143.3 billion in benefits in 2024, including $53.3 billion in health claims, and health benefits covered 27 million Canadians. The sector also employs more than 180,000 people and holds more than $1 trillion in long-term investments.
For leaders in life, health, wealth, and benefits, the operating model challenge is how to connect advice, service, claims, digital, group, individual, retirement, wealth, and partner experiences in a way that feels coherent to customers and manageable for the enterprise.
What are the signs that an insurance operating model is too complex?
Common signs include slow decisions, unclear ownership, duplicated processes, inconsistent customer or advisor experience, too many governance forums, overlapping technology platforms, fragmented data, repeated escalation, and transformation fatigue.
Leaders may also see strong activity without enough progress. Teams are busy, dashboards are full, initiatives are moving, but the organization still struggles to make cross-functional decisions, simplify journeys, realize synergies, adopt technology, or sustain change.
The issue is often not effort. It is system design.
What should insurance executives review before investing in more capability?
Before investing in more capability, insurance executives should review whether the current operating model can absorb and convert that investment into value.
Key questions include:
- Are the enterprise priorities clear enough to guide trade-offs?
- Are customer, broker, advisor, and employee journeys owned end to end?
- Are decision rights clear where growth, risk, cost, capital, and customer experience conflict?
- Does governance make decisions or mostly create reporting?
- Are platforms and processes being simplified, or is new technology being added to old complexity?
- Are AI initiatives connected to workflow, adoption, controls, and measurable outcomes?
- Is transformation sequenced according to leadership capacity and organizational absorption?
- Does the operating model create a coherent experience across banners and business units?
How does mBolden help Canadian insurance leaders?
mBolden helps insurance leaders clarify and simplify the operating model required to execute transformation, integration, modernization, AI adoption, customer experience, and growth.
This work can include operating model design, organization design, post-acquisition integration governance, decision rights, executive operating rhythms, transformation sequencing, cross-functional journey ownership, and risk-informed execution planning.
The goal is practical: help leadership teams see where execution is getting stuck, simplify the system around the work, create more cohesive experiences across the enterprise, and move from strategy to measurable results.
About the Author
Suzanne Knight, MBA, MA is the founder and CEO of mBolden, a global management consulting firm. She has advised more than 80 organisations across 14 countries on transformation, organisation design, and execution, spanning Fortune 500 companies, financial institutions, health systems, and federal and provincial governments.
A former Fortune 100 transformation executive, she now keynotes internationally on digital transformation, leadership, and leading through change, and is a long-standing instructor at the Schulich School of Business Executive Education. She brings the dual perspective of a senior corporate executive and a global advisor, which means she has lived the consequences of the decisions she now helps others make.
Her work centres on the thesis that transformation succeeds or fails through execution, and that the quality of the strategy cannot overcome ineffective delivery.
Sources and References
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