People are seeing stories about companies using AI and automation to replace people or cut jobs. AI and automation is not about replacing people. It is about helping people with the day-to-day work that can get repetitive, time-consuming, or easy to miss when everyone is busy.

Every team has this kind of work. Testing the same parts of an application over and over. Reviewing timesheet entries. Keeping meeting notes organized. Tracking action items with team members or clients. Updating documentation. All of this work is important. But when all of it has to be done manually, every single time, it creates boredom, frustration, and errors. 

That is where AI tools such as agentic workflows and other automation can help.

QA testing is a perfect example of where Human Interaction, AI, and Automation can work together to get significantly better results. Manual QA is still really important. A human understands the applications, user behavior, business rules, and the small things that AI or an automated tool may not always catch. But tools like Playwright (an open-source automation framework developed by Microsoft for end-to-end testing that seamlessly connects with AI tools) can help run repeatable tests faster and more consistently. That gives QA more time to focus on deeper testing, edge cases, and the overall user experience.

The same idea applies to operations and process improvements. AI can help summarize notes, organize information, create a first draft of documentation, or help point out gaps in a process. But people still need to review the work, make the decisions, and apply their experience and judgement.

Used the right way, AI and automation can reduce busy work, improve quality, and potentially catch some problems earlier. It gives team members better tools so they can spend more time on the work that really needs communication, creativity, and human experience.

The goal is pretty simple: improve process, achieve better quality, and provide support for the team members doing the work. AI and automation should solve a real problem. It should make something clearer, faster, or more consistent. If it does not help the team or improve the outcome for the client, then it is probably not worth putting into the process.

While AI will continue to enhance how we work at Troy Web, one thing that remains central is our commitment to client relationships. The day-to-day interactions we have with our clients - understanding their needs, gathering requirements, collaborating on solutions, and collecting feedback, are a core part of the value we provide.