An AI demonstration usually shows a tool at its best. A purchasing decision must answer a harder question: how does it perform with our data, difficult cases and existing process?
A short, fair test can reveal more than a long feature list. This method is designed for marketing teams comparing writing, analysis, search and automation tools.
Organise the test before presentations
Choose a specific task, such as drafting a landing page or classifying incoming enquiries. Define an acceptable result and disqualifying errors. Assign a test owner, time budget and decision point.
Build representative cases
Collect 20–30 examples from previous real work, removing unnecessary personal or confidential information. Include typical, complex and incomplete cases rather than only examples that flatter the tool. Keep some cases hidden from those configuring the system to test whether improvements generalise.
Keep conditions consistent
Use the same instructions, data and evaluation criteria for every candidate. Record product version, settings and test date because rapidly changing tools may behave differently later. Where outputs vary, repeat each case more than once.
Score results and costs
Use a 1–5 scale for accuracy, usefulness without editing, consistency, integration ease and inspectability. Add measurable figures: human correction minutes per task, sample failures, usage cost and training time. Do not let an overall score conceal a non-negotiable requirement. Failure in access handling or data deletion cannot be rescued by a good average.
Examine actual operating costs
The subscription is only one component. Include installation, existing-system integration, editing, monitoring, training and possible usage charges. Ask which data are retained, who can access them, whether they improve the product and how they are exported or deleted. Evaluation must reflect your intended use and business obligations.
Involve the everyday users
The people who will use the tool should complete real tasks rather than merely rate a demonstration. Observe time needed, confusion and whether they understand why an output was proposed. For critical actions, assess approval, recording and reversal processes too.
Keep an exit open
Before contracting, check how you can export data, configurations and work when changing providers. Keep your own evaluation set and instructions. Avoid building the entire operation around an unverified vendor claim or a nonportable format.
Make the final decision
Run a limited pilot with a goal, owner, duration and stopping criteria. If no tool clearly improves the current process in quality or time, “not buying yet” can be the correct outcome. A good procurement test seeks measurable improvement to a specific task with manageable cost and controlled risk, not the most impressive tool.
This evaluation methodology is DigitalNow's original framework.