Executive Brief: The 2026 State of P&C—From Digital Transformation to Intelligent Operations

For the past several months, our leadership team has been on the front lines of the industry’s most critical conversations—from Nashville and Philadelphia to London and Singapore. We haven’t just been attending conferences; we’ve been pressure-testing strategies against market realities.

Recent moves across the industry, including Duck Creek’s acquisition of Send Technology, reinforce just how quickly underwriting, AI, and core operations are converging into a single intelligent operating model. We are officially past the era of “digital transformation” as a theoretical goal.

The industry has entered a new phase: Insurance Operational Industrialization—the shift from modernizing systems to orchestrating intelligence, data, workflows, and core operations as one connected operating model.

What is Insurance Operational Industrialization?

Insurance Operational Industrialization is the shift from modernizing individual systems to connecting data, AI, workflows, and core insurance operations into one intelligent operating model. Rather than optimizing isolated processes, insurers orchestrate decisions across the entire insurance lifecycle.

Here are the three strategic shifts every insurer should be preparing for.

#1 The Shift Beyond Standalone AI

Why are standalone AI strategies falling short?

Standalone AI struggles to scale because intelligence separated from trusted data, governance, and core insurance workflows cannot consistently support enterprise decision-making. The next generation of AI succeeds by embedding intelligence directly into the Intelligent Core.

Throughout the spring conference season, the buzz around AI was inescapable. But in the halls of Insurance Innovators USA 2026 and Insurtech Insights USA 2026, the conversation matured rapidly. The industry has reached a collective realization: You cannot scale what you cannot trust.

The Intel

Carriers are moving beyond AI pilots toward AI they can trust. As regulations such as the EU AI Act and evolving NAIC guidance raise the bar for governance, Duck Creek embeds neuro-symbolic AI within the Intelligent Core.

By connecting trusted data, insurance workflows, and domain expertise, Duck Creek delivers AI built specifically for insurance.

The View from the Ground

The most common concern we heard from CUOs in London wasn’t about the sophistication of the model; it was about accountability. If your AI decisioning is a “black box,” it’s not an asset—it’s a compliance liability waiting to happen.

The Playbook

As CEO, Hardeep Gulati recently emphasized at Insurtech Insights USA, wide adoption requires a “Trusted AI Playbook.” That playbook is built on three principles: trusted data, governed AI, and intelligence embedded directly into the core insurance workflows where decisions are made. By partnering with leaders like Coaction Global, we’ve demonstrated that you don’t have to sacrifice compliance for speed. You can achieve both.

Learn more about Hardeep’s Trusted AI Playbook → https://www.duckcreek.com/resource/press-releases/hardeep-gulati-ai-playbook-insurtech-insights/ 

#2 Multi-Country Complexity is the New Growth Ceiling

How can insurers scale across multiple countries without increasing complexity?

Leading insurers are standardizing where they can while localizing where they must—combining shared capabilities with country-specific products, languages, currencies, regulations, and workflows. This approach improves consistency while accelerating expansion into new markets.

That theme was echoed throughout Engage London 2026, where conversations consistently returned to the need for operating models that balance global consistency with local compliance.

The Intel

Global carriers are rethinking how they support international growth. Rather than maintaining separate policy administration implementations for every geography, they’re adopting operating models that separate enterprise-wide capabilities from market-specific configuration.

The result is a common operational foundation with localized products, rules, languages, currencies, and regulatory requirements—improving consistency, reducing complexity, and accelerating expansion into new markets.

The View from the Ground

In the hallway, one message kept coming through. Global carriers are tired of fragmentation. They want a common operational framework that lets them reuse configurations across regions while remaining locally compliant. Which helps them launch products in weeks instead of months.

The Playbook

Duck Creek’s expanding global platform strategy is designed to meet that need. Our multi-layer enhancements enable insurers to standardize where they can and localize where they must—reusing configurations across regions while supporting market-specific requirements.

Combined with our commitment to support the London Market, this approach helps carriers expand into complex markets faster without the operational burden of maintaining separate core implementations.

Learn how Duck Creek is helping insurers scale globally with the Multi-Country Layer https://www.duckcreek.com/resource/press-releases/london-market-multi-country-layer-london-engage/ 

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#3 Intelligence in the Underwriting Workflow

How does Agentic AI improve underwriting?

Agentic AI improves underwriting by coordinating people, trusted data, AI, and workflows across the underwriting lifecycle. Rather than replacing underwriters, it automates repetitive work, so experienced professionals can focus on judgment, complex risk, and profitable growth.

The industry has spent years burdening its best talent with data entry and form-chasing. That era is over. The rise of Agentic AI is finally giving underwriters their judgment back.

The Intel

The insurance industry has been pursuing underwriting transformation for years.

The challenges are well understood. Underwriters spend too much time on administrative work, information remains fragmented across systems, and carriers continue to invest in technologies that improve productivity, consistency, and profitability. More recently, AI has introduced new opportunities to automate routine work and accelerate decision-making.

Yet despite significant investment, many transformation initiatives still fall short of delivering the business outcomes carriers expected.

The View from the Ground

At ITC Asia, one message surfaced repeatedly: the problem isn’t a lack of technology—it’s disconnected data and disconnected work. If your core isn’t doing the heavy lifting of data intake and orchestration, you’re not competing on risk selection—you’re competing on how much manual work your underwriters can absorb.

The conversation has shifted from isolated automation to agentic workflows that coordinate people, data, AI, and decisions across the underwriting lifecycle. The opportunity isn’t to replace underwriters—it’s to eliminate manual work so they can focus on judgment, complex risk, and the business they want to win.

But agentic workflows are only as effective as the trusted, connected data that powers them.

The Playbook

We are accelerating this vision through our Agentic AI Platform and the addition of Send Technology’s underwriting orchestration. By connecting submission intake, trusted data, risk enrichment, risk assessment, pricing, policy execution, and portfolio insight into a single, connected operating model, we are bringing intelligence directly to the point of decision.

The ultimate result isn’t simply faster automation. It’s smarter risk selection—powered by trusted data, governed AI, and an Intelligent Core designed for continuous decision-making.

What Should Insurers Do Next?

Strategy is only as good as the architecture that executes it. As we look ahead to ITC Vegas 2026, the conversations shaping the industry continue to point to three priorities:

• Build on an Intelligent Core.
• Power it with trusted data.
• Scale governed AI.

The leaders of the next decade won’t be defined by who adopted AI first. They’ll be defined by who built the trusted foundation to operationalize it at scale.

We’ve seen the why, and we’ve explored the how. Now the question is whether your current architecture is ready for what’s next.