Case Studies

Great products start with great requirements, but for many teams, writing and managing product requirements is a slow, inconsistent, and frustrating process. Poorly defined specs lead to misaligned teams, scope creep, and delayed releases, while overburdened product managers struggle to maintain clarity across cross-functional teams. By leveraging AI to automate

As businesses scale, managing multi-cloud environments becomes a logistical and financial nightmare. Without automation, IT teams are forced to rely on manual provisioning, troubleshooting, and monitoring, leading to bottlenecks, wasted resources, and rising operational costs. A single misconfiguration or unnoticed outage can lead to performance degradation, security risks, and financial

Sales and customer support teams are at the frontline of any business, yet they are often overwhelmed with repetitive tasks, siloed data, and inefficient workflows. Sales reps struggle to find real-time product and pricing data, slowing deals, while support teams are buried in redundant inquiries that could be automated. The