For years, the insurance industry heard the message to transform or fall behind. So insurers transformed.
Cloud platforms replaced aging infrastructure, customer portals became standard, claims workflows became automated, and data moved faster. AI entered underwriting, customer service, fraud detection, marketing, and other parts of the insurance operation.
But after years of investing in technology, a new question has come up: Are we really getting enough value from what we built? This is where digital transformation shifts into digital discipline.
Transformation Was About Building, Discipline Is About Using
The first phase of modernization was largely about capability. Could the organization move to the cloud and teams automate repetitive work?
Could data become easier to access and customers complete more tasks digitally? Now, the challenge is making those investments consistently deliver.
That means no longer measuring technology decisions primarily by whether a platform launched successfully. Insurers need to know whether it improves the business after launch.
Effective IT investment management is a continuous process of selecting, controlling, and evaluating technology investments, not simply approving them and moving on. A new claims platform may work, but did it reduce processing time?
Perhaps the new analytics system contains more information, but are the teams making their decisions more quickly? Even if an AI tool carries out part of the underwriting process, are its results accurate, clear, monitored, and helpful?
Digital discipline is about what happens after the implementation team leaves.
Stop Measuring Technology by How Much You Bought
Large technology portfolios can get complicated fast. An insurer might have cloud systems, CRM tools, policy platforms, analytics, cybersecurity, automation software, AI, customer experience platforms, and many third-party integrations.
The goal shouldn’t simply be adding more. It should be understanding what is producing measurable value.
The Government Accountability Office found in its examination of 68 projects funded by the federal Technology Modernization Fund that some of the investments were expected to yield substantial future savings. By contrast, others were intended to create value in different ways, such as by lowering security risk.
For insurers, that could mean tracking:
- Claims turnaround time and handling costs
- Underwriting cycle time
- Customer self-service completion rates
- Manual work eliminated
- Employee adoption and productivity
- Infrastructure and vendor costs
- Security and operational risk
- Customer experience improvements
The main point is that the value of technology isn’t a single figure, even though it must be defined and measured. The important thing is to connect technology metrics to business results.
Technology Governance Is Becoming Business Governance
This becomes especially important as insurers expand their use of AI. AI is already being used across underwriting, pricing, claims, customer service, marketing, and fraud detection. Among surveyed health insurers, 92% reported that they currently use, plan to use, or plan to explore AI or machine-learning models.
So the real question isn’t just whether insurers will use AI. It’s about how well they manage and oversee it.
The NAIC’s guidance highlights the need for governance, risk management, documentation, testing, validation, data quality, and oversight of third-party systems. This is digital discipline in action.
Innovation doesn’t go away; it becomes more focused.
Measure What Matters, and Keep Measuring It
A common error when introducing new technology is the belief that measurement occurs only at the beginning; in fact, the value of the technology varies over time.
Adoption may decline, expenses may increase, there may be vendor overlap, processes may become too complicated, AI models may drift, and a useful platform today could become an expensive workaround tomorrow. NIST emphasizes the importance of selecting meaningful measures and establishing continuous measurement, rather than conducting a single check.
Insurance leaders can use this approach in more areas than just cybersecurity. Set a goal, measure it, review the results, make improvements, and repeat the process.
Simple? Yes.
Easy? Not always.
But that cycle is what separates owning sophisticated technology from operating a sophisticated digital business.
The Next Competitive Advantage May Be Restraint
For the last decade, being digitally ambitious often meant moving faster and investing more. The next phase may look different.
It may mean knowing which systems to consolidate. Which automation isn’t producing enough value.
Which AI use cases deserve expansion, and which don’t. Which vendor relationships need closer scrutiny.
Which data actually helps employees make decisions. And which shiny new technology simply isn’t solving an important enough problem.
Digital transformation helped insurers build the infrastructure for a more connected, automated, data-driven industry. Digital discipline is about making that infrastructure earn its keep.
Because after the big technology investment, the smartest move isn’t automatically buying the next platform. It’s making every investment clearer, more measurable, accountable, and valuable to the people who ultimately depend on it.
The insurance industry needs to adapt quickly and remain open to new ideas. Agility Holdings Group makes investments in InsurTech, HealthTech, and other companies that are aimed at improving care and outcomes.
If you’d like to learn how we can help your organization innovate, achieve your objectives, and stay ahead in the ever-changing insurance industry, feel free to connect with us on LinkedIn. Contact us today to start.