In today’s environment, many companies are under pressure to automate more and spend less. If your goal is to reduce testing costs, investing in new technology may be counterintuitive. But if you are one of the majority of enterprises still doing 80% of your testing manually, this kind of investment can yield a rapid return.

Scaling test automation can significantly reduce testing costs — one Tricentis customer reported savings of $500,000 each month when compared with the cost of testing manually. AI-powered impact analysis can reduce testing costs even further by pinpointing the specific areas of the application that are impacted by a given release, then identifying the test cases required for testing those areas. Together, these technologies enable a focused, tailored, intelligent approach to testing that achieves both broader coverage and significantly accelerated test cycles. The following guide shares how you can put these technologies into action to reduce both testing costs and timelines — allowing your organization to deliver business value faster and get innovations to the market earlier.