The most expensive system isn't always the one with the highest price tag. Sometimes it's the one that keeps you from saying yes.
Every insurer has a list of growth opportunities it postponed. Almost none have a number for what postponing them cost.
In most leadership teams, the expensive decisions are not the ones that get debated. They are the ones that never get made. A distribution partner asks for a product variant. A product team spots an underserved segment. A neighbouring market opens up. The answer is rarely “no”. It is “not yet”: after the core upgrade, after the next budget round, when IT has capacity.
“Not yet” feels prudent. It protects the plan, the budget and the change calendar. But it is still a decision, and it has a cost. That cost simply never appears in a board pack.
A declined opportunity leaves no trace. There is no variance to explain, no overrun to defend and no post-mortem. The partner who wanted to launch in the spring signs with someone else. The segment is served by a specialist who moved first. The idea goes back into a backlog that nobody reviews.
The gap in speed is real. McKinsey notes that product development at insurers typically takes years, while AI-native MGAs can build and test products in weeks (McKinsey, 2026). When a competitor can test an idea in the time it takes you to schedule the requirements workshop, “not yet” often turns into “never”.
Illustrative scenario: A mid-sized Nordic non-life carrier is approached by a growing e-mobility retailer that wants theft and damage cover at checkout. The product is simple. The carrier estimates nine months to configure it, integrate the retailer and agree the operating model, because the same small team is mid-way through a regulatory change programme. The decision is deferred to the next planning cycle. Four months later the retailer launches with a specialist MGA. The carrier records no loss. It has, however, given away a new customer segment, a distribution relationship and a year of learning.
Part of the reason “not yet” has gone unchallenged is that many insurers have been growing anyway. Look at where that growth came from.
In European and North American commercial lines, premium growth over the past five years “was entirely the result of higher rates”, according to McKinsey’s Global Insurance Report 2025 (McKinsey, 2024). In personal lines, developed-market growth was largely driven by rate increases, which the same report reads as limited expansion into new risks (McKinsey, 2024).
Over a longer horizon the picture is starker. Over the past decade, insurance revenues grew 1.24 times while global GDP grew 1.58 times (McKinsey, 2026). The industry has been losing ground relative to the economy it protects.
Rate-driven growth is not a strategy. It is a market condition, and market conditions turn. When they do, the carriers with new products, new partners and new segments already in motion will keep growing. Those that deferred them will start from zero.
Why does “not yet” win so often? Because the two sides of the decision are measured differently.
The IT cost of acting is visible. It has a budget line, a business case and an owner who will be asked about it later. The cost of not acting is invisible. It has no line, no owner and no follow-up. Put a known cost against an unknown cost and the known cost wins, every time.
Meanwhile the cost of standing still accumulates inside the operation. McKinsey finds the average P&C expense ratio has stayed between 27% and 32% since 2005, with leaders below 22%. Insurance SG&A-to-revenue ratios are about 10% higher globally than in 2005, as productivity gains were absorbed by rising IT, compliance and legacy-layering costs (McKinsey, 2026). Every year of patching rather than fixing adds another layer.
The operating model matters more than many boards assume. In McKinsey’s analysis of commercial insurers, 60% of performance came from how an insurer operates and 40% from the lines of business it writes (McKinsey, 2024). Execution capacity is not a back-office concern. It is the larger half of the result.
The arithmetic of waiting is also shifting. McKinsey reports typical productivity improvements of 10% to 90% across core modernisation steps when agentic AI is applied, from data conversion to testing, based on its practitioners’ experience rather than a controlled study (McKinsey, 2026). If the cost and duration of change are falling, “wait until it is cheaper” is a weaker argument than it was three years ago.
When leaders trace a deferred opportunity back to its cause, the same few constraints tend to appear:
None of these is primarily a technology problem. Technology can remove dependencies, but only after leadership decides that speed to market is a business priority, not an IT metric.
Performance gaps in insurance are sticky. McKinsey tracked 25 global commercial insurers over a decade. Five of the seven top-quartile carriers stayed in the top quartile; only two of eleven middle performers moved up; none from the bottom quartile reached the top (McKinsey, 2024). In AI, McKinsey reports that leaders have delivered six times the total shareholder return of laggards (McKinsey, 2026).
Each deferred decision is small. Their sum decides which quartile you are in five years from now.
If opportunity cost is invisible because nobody measures it, the fix starts with a short set of indicators that sit beside the IT budget in every growth discussion:
None of these needs a new system to start. A spreadsheet and an honest quarterly review are enough to change the conversation.
The goal is not to say yes to everything. Discipline matters, and some opportunities should be declined. The goal is to make “not yet” an explicit decision, with an owner, a review date and an estimated cost, rather than a default.
When leadership teams do this, two things tend to happen. Fewer opportunities are deferred by accident. And the business case for removing the bottlenecks behind them becomes much easier to write, because the cost of standing still finally has a number.
Where does your organisation stand? It takes about five minutes and gives you a personalised readiness profile across strategy, product speed, distribution, operating capacity and measurement, with practical next steps.