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Catalyst

January 2026

Build the base before the brilliance: AI comes after CX and deep research

Everyone’s talking about AI as the next big differentiator. But AI isn’t a strategy; it’s a capability. And it’s only as strong as the customer experience (CX) and research foundation underneath it.

If your customer experience is broken, AI will amplify the cracks.

If your research is shallow or unverified, AI will amplify the noise.

A strong base can only be formed through better, authenticated research and well-designed customer journeys. AI tools on their own won’t deliver the ultimate customer experience. Before you chase brilliance, build the base.

The gap between expectation and reality

Today’s customers expect more than digital access — they expect digital ease.

Research shows that 91percent of business customers want streamlined online insurance experiences, yet only 34 percent feel they receive them.¹ That gap represents a powerful opportunity for insurers and financial institutions to connect lending, deposits and protection into one seamless, intuitive journey.

But you can’t close that gap with a slick app layered on top of guesswork. If your understanding of the customer is built on unvetted AI summaries or outdated assumptions, the most polished front-end won’t matter. Slow claims, confusing loan approvals and inconsistent service will still show up — and AI will expose them faster and more visibly.

Closing the gap starts with real research: Talking to customers, observing their behavior, testing journeys and validating what truly works.

AI isn’t the base — research is

AI is powerful at finding patterns, generating content and scaling analysis. But it will pull in anything that has been published, without automatically knowing whether it’s current, accurate or relevant.

That’s where disciplined research comes in. A strong foundation is built when organizations decide what “good” looks like before turning on the AI engines — what counts as an authoritative source, how recent does data need to be and how are insights checked before they shape real customer experiences?

It’s not “AI vs. research.” It’s better research defining the right questions, the right data and the right guardrails — and then using AI to move faster on top of that solid base.

What strong CX + deep research looks like

When the base is solid, AI becomes the brilliance layer, not the bandage.

Strong customer experience rests on clear, intuitive processes that customers can follow without friction or confusion. These processes are refined through journey mapping, usability testing and ongoing feedback — not assumptions.

Service delivery is reliable and consistent, informed by real performance data and customer input. Systems and data are integrated so that claims, lending and protection work together instead of in silos. Plus market and competitive intelligence keep the organization aligned with where the market is going, not just where it has been.

On top of this, AI can personalize interactions, anticipate needs and automate routine steps in ways that feel natural and helpful — because the underlying design is already customer-centric.

Where competitive intelligence strengthens the base

Competitive intelligence (CI) is a core part of this foundation. Done well, CI does more than track “who offers what.” It helps answer deeper questions: How are competitors redesigning their digital journeys? Which messages and experiences actually resonate with customers? CI connects scattered signals — new product launches, pricing shifts, partnerships, digital features — into coherent insight that product, underwriting, servicing and digital experience teams can act on. It helps organizations prioritize CX investments that truly move the needle, rather than chasing every trend.

AI can enhance CI by scanning more sources and spotting patterns faster. But the CI discipline — framing the right questions, validating findings and tying them back to real customer needs — is what turns those signals into meaningful advantage.

Before investing in the next AI solution, it’s worth pausing to ask:

  • Are our core processes and customer journeys genuinely designed around customer needs?
  • Are our insights grounded in authenticated market and competitive research — not just AI-generated summaries?
  • Will AI amplify excellence in our CX or accelerate weak assumptions and fragmented experiences?

AI is the accelerator, not the base

A strong foundation of research, CX design and competitive intelligence are what make AI truly pay off — for both institutions and their customers.

Customer commitment

Securian Financial is committed to a research-driven, customer-centric experience. That shows up in the way we design and deliver solutions for our partners and their customers — from launching My Coverage, a faster and easier claims portal for debt protection and credit insurance, offering additional solutons that help financial institutions and their customers manage risks beyond traditional coverage.

We continue to invest in market and competitive intelligence to understand evolving borrower expectations and competitor moves, and to develop seamless, compliant digital journeys that integrate lending, deposits and protection.

By combining rigorous research, disciplined competitive intelligence, a focus on customer-centric experience and thoughtful use of AI, Securian aims to be your trusted partner for what matters next.

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  1. “2026 property and casualty annual insurance outlook,” TransUnion, 2025.

DOFU 1-2026

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