All the Context. None of the Friction
OneClick is an AI-powered context automation solution that seamlessly captures, organizes, and shares diagnostic information across teams. With a single click, it gathers logs, screenshots, and metadata into a unified workflow, giving every team immediate, actionable context to resolve issues faster and more accurately.


By embedding intelligent context capture across any workflow or platform, OneClick removes friction between users and technical teams, streamlines communication, and reduces time-to-resolution while ensuring secure, compliant, and fully traceable visibility across the entire digital ecosystem.
App users encountering login failures, UI glitches, or billing display errors often had no efficient way to report issues with context. Manual ticket creation delayed resolution and lacked actionable details for developers. The goal was to streamline bug reporting, capture real diagnostic data, and accelerate issue triage to maintain a smooth customer experience.
Quick feedback loops helped identify and resolve recurring issues, improving stability.
When API errors disrupted tower health and network dashboards, engineers had to escalate issues verbally, delaying fixes and lacking detailed diagnostic data. This manual process slowed backend teams and increased resolution times. The goal was to enable instant, context-rich reporting to speed up troubleshooting and minimize service disruption.
Quicker escalation minimized downtime and improved network reliability.
When automation failures or UI bugs occurred, users had to manually describe issues, often lacking the technical details IT teams needed to diagnose problems. This created long resolution cycles and frequent back-and-forth communication. The goal was to streamline feedback, capture actionable diagnostics automatically, and accelerate fixes without disrupting daily operations.
Faster fixes improved the stability of risk and compliance workflows.
When operators spotted incorrect inverter data or chart rendering issues, reporting problems was manual and often lacked technical context. This delayed diagnostics and sometimes required lengthy back-and-forth with support teams. The goal was to simplify bug capture, attach relevant data automatically, and speed up fixes to maintain reporting accuracy and operational efficiency.
Fast identification and correction of portal issues ensured reliable performance reporting.
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© 2025 InnoWave. All rights reserved
© 2025 InnoWave. All rights reserved