AI-Informed Testing
Your developers are already using AI to write code faster. The pressure on QA just doubled. XBOSoft has been doing serious software testing since 2006, and we have been building AI into our practice since before most vendors started putting it in their pitch decks. We coined the term “AI-Informed Testing” because we needed language for what we were actually doing: using AI to sharpen where we look, then putting experienced testers on what we find. Not AI as a shortcut. AI as a force multiplier for people who know what they’re doing.
Challenges
Release cycles are shorter. Codebases are bigger. And now AI-generated code is moving through pipelines faster than any manual process can keep up with. The teams we talk to aren’t worried about whether AI belongs in testing. They’re worried about AI findings that turn out to be noise, and about missing real defects because everyone assumed the AI caught them. That’s the failure mode. We’ve seen it. Our approach puts AI where it earns its place: exploring broadly, surfacing patterns, flagging risk. Then our testers take over. They confirm what’s real, cut the hallucinations, and tell your team what actually needs attention.

Jason Arbon
Testers.ai
“AI-Informed” isn’t a trend we adopted. It’s a term Phil Lew and I coined together to describe what we were already doing: using AI to accelerate teams without losing the judgment that actually matters
Our Clients
Our Approach
White Papers
Choosing between automated and manual testing can be challenging due to the upfront costs and expertise required for automation. However, with the right approach, automation can enhance test coverage, speed up testing cycles, and reduce long-term costs. This white paper explores the key considerations for deciding whether to automate your testing efforts. It also includes a practical self-assessment to help you make an informed decision, plus a glimpse into our structured Automation Assessment and Implementation Program.
Benefits
01
We’ve been testing software since 2006. We helped define what AI-informed testing means. You’re not a pilot program. You’re getting a practice that’s already proven.
02
We fit into your workflow, not the other way around. AI gets stood up fast. Your team doesn’t have to learn anything new. We handle the complexity so you see results quickly
03
We don’t report AI metrics. We report defects, risk, and what to fix first. The measure is simple: software your users trust, shipped on the schedule your business needs.
Your QA practice should be too. Let’s show you what that looks like in a real engagement, not a demo.
White Paper
Resources
Our Success
The level of experience and expertise that XBOSoft has provided us has really facilitated a much stronger code base and reduction in the number of issues that come back from our client. They think like our clients, which has been amazing. They push the limits.
Charlie Gaulke – Senior VP
Blackline
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Awards & Recognitions
We hold PMP, ISTQB, and ISO27001 certifications, reflecting our adherence to rigorous standards in project management, software testing, information security, and internal controls.