Engineers lost 50% of time searching systems. AI now correlates data for instant answers, boosting daily ticket closures by 40%.
An IT service provider and application designer manages support operations for diverse enterprises, ranging from small law firms to large medical practices.
Help desk engineers spent roughly 50% of their time searching through unstructured data and disparate systems instead of solving problems. This...
“In many organizations, engineers spend roughly 50% of their time searching for information in an ocean of data, much of it unstructured and not easily retrievable. This not only diminishes productivity but also inflates costs, funding more data retrieval rather than problem-solving.”
AI-powered data lakehouse and automation platform for IT departments and MSPs.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Related implementations across industries and use cases
Routine tickets took 50% of IT's time. An AI assistant now resolves them in Slack by pulling answers from scattered internal docs.
Agents lost time toggling between disconnected tools. A unified AI now indexes 100+ systems to draft answers without switching tabs.
Rote tasks overwhelmed agents. AI now ingests CRM data and self-checks answers to resolve 93% of tickets autonomously.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.