> ## Content Index > Fetch the complete content index at: https://www.the-thinking-lens.com/llms.txt > Use this file to discover other available public pages before exploring further. # Weekend Reflections #22 | When the Opportunity to Act Is Gone - URL: https://www.the-thinking-lens.com/weekend-reflections-22-when-the-opportunity-to-act-is-gone/ - Published: 2026-10-24T18:49:29.000Z - Updated: 2026-10-24T18:49:29.000Z - Description: An escalation can follow the right process and still fail the customer. What happens when the opportunity to recover the original experience disappears before anyone can act? - Author: Amodiovalerio Verde - Tags: Weekend Reflections Some problems have an expiry date. Not necessarily the problem itself, but the opportunity to solve it. I started thinking about this after [a recent customer support experience](https://www.the-thinking-lens.com/weekend-reflections-21-the-eur16-39-decision/) involving a refund. At first, I assumed the agent had no way to challenge the initial decision. Later, I learned that an escalation had actually been triggered, so my assumption was not entirely correct. But the escalation didn't resolve the issue when it still mattered. And this is what I keep thinking about. An escalation can exist, follow the expected process, and still fail to deliver any meaningful value to the customer. Because sometimes the right decision, made too late, is no longer the right solution. Imagine ordering flowers for someone's birthday. They arrive the following day (and yes, it happened to me). The flowers might be perfect. But the birthday has passed. And perhaps the reason you ordered them has disappeared with it. Of course, not every product or service has the same urgency. Sometimes a delayed delivery is just an inconvenience. Sometimes a missing item can be shipped the next day. But other times, the delay changes the value of the entire experience. I wonder how well our processes account for that difference. --- We tend to think about transactions as collections of individual items. A hamburger. Fries. A Coke. Three items, each with a price, a delivery status and a possible refund. Technically, this makes sense. But perhaps the customer was not buying three independent products. Perhaps the customer was buying dinner. And if only the Coke arrives, the fact that one of the three items was delivered doesn't necessarily mean that one-third of the customer's need was satisfied. **The commercial bundle and the customer's intended bundle are not necessarily the same thing.** Now, I understand why we separate items. We need to manage inventory, payments, deliveries, refunds, responsibilities. But perhaps we should recognize that the value of an experience is not necessarily the sum of its components. A relatively inexpensive missing item might make everything else unusable, and a relatively expensive one might have little impact on the usefulness of the rest. Monetary value can be a useful signal, but not necessarily the right measure of how much of the customer's actual need was satisfied. Which brings me back to the process. --- Solving the problem and deciding who pays are different things. From the business perspective, the constraints are real. When a service fails, someone has to absorb the cost. And, obviously, businesses need to protect themselves against fraud, inconsistent decisions and unsustainable reimbursements. I wonder whether we are mixing two different decisions. The first is what to do for the customer, while the second is who should ultimately be responsible for the cost. But does deciding who pays always need to happen before deciding what to do for the customer? If the complaint appears legitimate, perhaps the priority should be to recover the intended experience while recovery is still possible. Deliver the missing item. Offer an alternative. Find a similar product or service that the customer accepts. And when the original experience cannot be recovered, perhaps the objective changes. You are no longer recovering the transaction. You are trying to recover the customer relationship. A refund, an apology, a discount, or another gesture might help. It doesn't undo the original failure. But it may prevent the failure from becoming the end of the relationship. The question of who ultimately pays could be resolved separately, or afterwards. Of course, that introduces risk. **But waiting for certainty also has a cost.** And sometimes, while we are establishing who was responsible, the opportunity to solve the original problem disappears. --- I don't believe the solution is giving every agent unlimited freedom, because discretion without boundaries can easily become inconsistency. But I also struggle with the opposite. A system that can recognize a reasonable exception, yet cannot act on it. Maybe the answer is somewhere in between. An agent, human or AI, could have enough context to consider a few things. What was the customer trying to achieve? Is there still time to recover that outcome? And what are the risks of acting or not acting? And within defined boundaries, the agent could have the authority to make a different decision. Not every exception would need an approval, but some would. A larger financial exposure, an unusual pattern, or a higher-risk situation might require a different level of authority. The point is that escalation should still operate within the time available to solve the problem. **Otherwise, we might have created a process that protects the decision while losing the outcome.** And perhaps prevention should be part of this thinking too. If a restaurant closes its kitchen at 22:00, should the platform continue accepting orders until the last possible minute? Or would it make sense to leave a recovery window, perhaps stopping new orders earlier so a missing item could still be prepared? Instead of only designing how to handle failures, could we design the service to preserve the possibility of recovery? --- And then there is AI. This also made me think about a distinction I keep returning to: understanding a situation is not the same as having the authority to act. An AI agent might be perfectly capable of understanding the situation. It might recognize what the customer was actually trying to achieve, rather than simply looking at the individual transactions. It might assess the complaint, consider the available alternatives and propose a better resolution. But what happens if it isn't allowed to act? It could explain the problem beautifully, apologize with extraordinary empathy. And still do nothing useful. **A system's ability to recognize the better decision and its authority to make that decision are two different things.** That is true for humans too. And perhaps giving a system better reasoning without changing its authority just makes it better at recognizing the decisions it cannot make. --- I started this reflection thinking about an escalation that didn't help when it mattered. But perhaps timing is only one part of the problem. A process can be correct. An escalation can be completed. A refund can be calculated perfectly. And still, the customer's problem might never have been solved. Maybe the question is not only whether our decision rules are correct. **Maybe we should also ask whether the system can make a useful decision before the opportunity to act is gone.**