Evaluate technology against the business need
Use strategic fit, operating readiness, and a testable benefit to decide which technologies deserve investment.
Technology evaluation should begin with a business outcome and end with a decision. Between those points, leaders need evidence that the proposed technology addresses a meaningful problem and that the organisation can put it to work.
A compelling demonstration establishes that something is possible under particular conditions. It does not establish that the same result will hold with the organisation’s data, controls, skills, and operating constraints. That difference should shape the evaluation.
Define the capability you want to improve
Describe the work and its current performance before discussing the product. An illustrative customer-support team may need to find reliable answers more quickly. That goal creates a more useful evaluation than a general instruction to adopt AI.
Specify the intended improvement, the people affected, and the cost of getting the answer wrong. Compare the proposed technology with simpler alternatives, including improving the underlying knowledge base or changing the workflow. This keeps attention on the outcome and makes the opportunity cost visible.
Test the conditions for adoption
Strategic fit and technical feasibility are necessary parts of the decision. Operating readiness deserves equal attention. Identify who owns the process, who maintains the information, how exceptions will be handled, and what staff need to learn.
For the support example, faster answers are useful only if they remain reliable and reach the right person. A pilot should therefore examine correctness, appropriate escalation, user effort, and the effect on the overall service. A reduction in drafting time can be outweighed by additional checking or rework.
Include the consequences of scale. A small trial may receive unusual attention from experts or operate on carefully selected information. Before expansion, test representative cases and estimate the recurring effort required to maintain the service.
Make the decision before the enthusiasm takes over
Set a baseline, a success threshold, a review date, and stopping conditions before the pilot begins. Those choices make it easier to distinguish useful learning from a demonstration that continues indefinitely.
The outcome may be to adopt, run a narrower trial, address a prerequisite, defer, or stop. Each is a legitimate decision when supported by evidence. A technology can be promising and still be the wrong investment for the business at that time.
Enterprise architecture contributes by connecting the proposed change to capabilities, dependencies, risk, and the operating model. Its purpose is to help leaders commit resources with a clear understanding of what success requires.
Revised from my original essay on The Loop. This edition develops the argument for a leadership audience; the original preserves its coursework context and bibliography.
Original article: The Loop, 15 November 2025.