The question nobody asks first I watched someone spend £14,000 on a CRM system last year. They had 47 customers. They could have managed those relationships with a spreadsheet and a calendar reminder. Six months later, the system sat unused, and they were back to the spreadsheet anyway. This happens constantly. People see a demo, get excited about what the software could do, and forget to ask whether they need it to do anything at all. The decision to invest in new technology is not really about the technology. It is about whether you have a problem worth solving, and whether this particular tool actually solves it. Start with the problem, not the product I have a simple rule when someone tells me they are considering new software: describe the problem without mentioning any product names. If you cannot do that clearly, you are shopping for a solution before you understand what is broken. That is how you end up with expensive tools gathering dust. The problem needs to be specific. "We need to be more efficient" is not a problem. "We spend 12 hours a week manually copying data between our accounting software and our invoicing system" is a problem. One of those you can solve. The other is just a feeling. Once you have the specific problem, ask yourself: what is this costing me? Not in vague terms like "lost productivity" but in actual numbers. Hours per week. Pounds per month. Customers lost because you could not respond quickly enough. If you cannot quantify the cost, you cannot evaluate whether the investment makes sense. The three questions that matter Before any technology purchase, I run through three questions. They sound obvious, but I am surprised how often people skip them. First: could I solve this without buying anything? Sometimes the answer is yes. A process change, a template, a conversation with your team about who does what. I worked with a business owner who thought they needed project management software. Turns out they needed a weekly 15-minute call with their two contractors. Free. Problem solved. Second: what is the total cost over three years? Not just the subscription fee. Include the time you will spend setting it up, learning it, training anyone else who needs to use it, and maintaining it. Include the integrations you will need. Include the support you will pay for when something breaks. That £50 per month tool often costs £3,000 or more when you add everything up. Third: what happens if it does not work? Can you get out easily, or are you locked in? Can you export your data, or does it disappear? I have seen people trapped in systems they hate because migrating away would cost more than staying. When technology actually makes sense Some investments are obvious. If you are doing the same manual task more than ten times a day, and software can automate it reliably, the maths usually works out. But the good investments tend to share certain characteristics. They solve a problem you have right now, not one you might have in eighteen months. Planning for scale is sensible. Paying for scale you may never reach is not. They replace something you are already doing, rather than adding a new thing to manage. Every new system is another thing to maintain, another login to remember, another place where data can go wrong. They have a clear payback period. If the tool costs £200 per month and saves you 10 hours of work, and your time is worth £50 per hour, you break even in less than a month. That is a good investment. If the payback period is two years, you need to be very confident you will still be using it in two years. The timing question Right now, with UK unemployment dropping unexpectedly and pay growth slowing, many small businesses are watching their costs carefully. That is sensible. But cost-cutting and smart investment are not the same thing. I have seen people delay a £100 per month tool that would have saved them 20 hours of admin work, then spend that time doing tasks they hate. Meanwhile, their competitors moved faster. The question is not whether you can afford the technology. It is whether you can afford not to have the problem solved. If the problem is costing you more than the solution, delaying the investment is the expensive choice. What about AI? Everyone asks about AI now. Meta announced this week they are tracking employee keystrokes and clicks to train their models. The technology is moving fast, and people feel pressure to adopt it. My view: AI is a tool, not a strategy. The same rules apply. What specific problem does it solve? What does it actually cost? What happens when it gets things wrong? For most small businesses, the highest-value AI applications right now are narrow and specific. Drafting first versions of routine documents. Summarising long emails. Generating ideas you can edit. These save real time on real tasks. The risk is buying AI-powered tools that promise to transform your business when you would be better served by a well-organised spreadsheet and clear processes. The decision framework When I help people work through technology decisions at ALIRA., we usually end up with something like this: Define the problem in one sentence, with a number attached. Run through the three questions. If the tool passes, do a 30-day trial before committing to an annual plan. Set a specific metric you will check at the end of the trial to decide whether it worked. Most tools fail somewhere in that process. The ones that survive are usually worth the money. What to do this week Pick one technology purchase you have been considering. Write down the specific problem it solves and what that problem costs you per month in hours or pounds. If you cannot quantify it, you are not ready to buy. If you can quantify it, calculate the total three-year cost including setup time and training. Compare the two numbers. The decision often becomes obvious. If you want a structured way to think through the decision, the Decision Matrix tool at alira.london can help you weigh the factors properly. Takes ten minutes. Saves you from expensive mistakes.