Change Management Is Changing

Change management can no longer be viewed as a one-time project discipline. It must become an organizational capability.

Melissa Palmer

September 16, 2026

Organizations today are operating in an era of continuous transformation. Artificial intelligence, automation, shifting workforce expectations, and evolving customer demands are reshaping how companies create value and sustain performance. For insurers, this reality is especially pronounced as carriers modernize core systems, explore AI-enabled workflows, improve customer experiences, and accelerate digital payment.

In this environment, change management can no longer be viewed as a one-time project discipline. It must become an organizational capability. As McKinsey notes in The State of Organizations 2026, the era of returning to “business as usual” after a transformation initiative is over; the new normal is continuous change.¹

This has important implications for leadership. The organizations most likely to succeed are not simply those with the best technology strategies. They are the organizations with leaders capable of building trust, creating clarity, and helping people adapt to new ways of working.

Technology may enable transformation, but people determine whether transformation succeeds.

Change Starts With Leaders

According to McKinsey, today's leaders must take an “inside-out” approach to leadership, recognizing that leading others also requires leading oneself.² In a business environment shaped by AI disruption and continual change, leaders are being called to redefine leadership in more human-centric terms.

This means balancing performance with empathy, confidence with vulnerability, and execution with reflection. Leaders must still deliver results, but they also need to create environments where people feel safe to learn, experiment, and adopt new behaviors.

The business case is compelling. McKinsey found that organizations adopting human-centric leadership practices report increased employee satisfaction and retention, strengthened trust, improved decision-making, and greater organizational adaptability and resilience.³

As organizations integrate AI into everyday work, this leadership shift becomes even more important. Research from MIT Sloan's The EPOCH of AI: Human-Machine Complementarities at Work identifies five distinctly human capabilities — Empathy, Presence, Opinion, Creativity, and Hope (EPOCH) — that complement rather than compete with artificial intelligence.⁴ Organizations that invest in these capabilities help employees work alongside emerging technologies rather than fear being replaced by them.

Leaders who cultivate these traits within themselves and their teams will be better positioned to help their organizations adapt, innovate, and thrive.

Trust Is the Foundation of Adoption

When employees encounter major change, they do not simply evaluate a new technology. They evaluate what the change means for them.

Will I have the skills to succeed?
Will my work become easier or more complicated?
Will leadership support me through the transition?

Recent insurance industry experience reinforces this reality. A 2026 Carrier Management article profiling Indiana Farmers Insurance described AI transformation as “a culture problem dressed up as a technology and training problem.” Rather than focusing solely on technology, the organization emphasized leadership alignment, employee engagement, skills development, and behavioral change — significantly increasing both usage and confidence among leaders.⁵

The Prosci success story involving McCarthy Holdings highlights a similar lesson. By focusing on communication, training, feedback, and manager support, the organization achieved 90% adoption of its AI-powered work platform within 30 days.⁶

The message is clear: adoption happens when people understand the purpose, see practical value, trust the process, and feel supported by leadership.

Adoption Must Be Designed, Not Managed After the Fact

One of the most common mistakes organizations make is treating change management as a launch activity. Technology is deployed, training is rolled out, and teams are expected to adapt.

Leading organizations take a different approach.

Human-centric leaders recognize that adoption starts long before go-live. They build organizational readiness during planning, engage stakeholders early, identify barriers, and communicate how change will affect daily work.

This principle is particularly important in digital payment transformation. Success depends not only on technology implementation, but also on how effectively insurers prepare claims teams, billing departments, customer service representatives, treasury functions, vendors, and policyholders for new workflows.

The most effective transformation programs embed change management throughout the project lifecycle — from discovery and design through implementation and optimization. When education, communication, and adoption planning are addressed early, organizations reduce disruption, accelerate adoption, and create a better experience for employees, vendors, and customers alike.

Successful adoption is rarely accidental. It is designed.

This reality also changes how organizations should evaluate technology providers. The most effective partners do more than deliver software; they help organizations build readiness, educate stakeholders, and create the conditions necessary for successful adoption from the beginning of the transformation journey.

Managers and Influencers Matter More Than Ever

Executive sponsorship remains critical, but employees often turn first to their immediate managers for guidance and reassurance.

Human-centric leaders recognize that managers must be equipped — not simply informed. They need the tools, context, and confidence to help their teams navigate uncertainty.

Leadership visibility matters as much as leadership sponsorship. During Indiana Farmers Insurance's AI transformation initiative, CEO Wes Sprinkle actively participated in training sessions and used the technology himself.⁷ When leaders model desired behaviors, they create credibility that accelerates adoption throughout the organization.

Trusted influencers across the organization also play an important role in reinforcing the purpose of change and building momentum from within.

As transformation becomes continuous, responsibility for successful adoption must extend beyond project teams. It must be shared across leaders, managers, and employees alike.

A Final Thought: Transformation Requires More Than Technology

As insurers continue investing in AI, automation, digital payments, and customer experience modernization, the people side of change will increasingly determine the return on those investments.

Technology implementation may mark the beginning of transformation, but adoption determines whether transformation delivers lasting value. And adoption depends on trust, communication, leadership, education, reinforcement, and a clear connection between change and meaningful work.

Human-centric leadership is not optional. It is the foundation for resilience, innovation, and sustainable growth.

It also changes how organizations should think about implementation partners. The most successful digital transformations recognize that outcomes depend as much on people, processes, and adoption as they do on technology itself. Organizations that address all three dimensions are far more likely to accelerate adoption, minimize disruption, and realize the full value of their transformation investments.