As IoT products expand across web and mobile platforms, test automation needs to scale with them. Growing automation scope, repetitive development tasks, and increasing framework maintenance can slow down coverage expansion and create a backlog that becomes harder to manage.
One of our clients, an international IoT security and automation company, faced this challenge when automation expanded from web to iOS and Android products. To support the growing scope, we introduced a fully managed AI-augmented testing approach, using AI within the automation workflow under continuous engineers’ supervision.
What they achieved:
– Accelerated automation development
– Reduced routine engineering workload
– Streamlined defect analysis
– Improved test framework maintenance
Read the full case study to discover how AI-augmented testing supported the client’s growing automation needs.