How you work with Lyric

“Managing competing cybersecurity priorities can make it difficult to balance investigations and alert triage with complex analytical work. During my Lyric Ai beta testing, I found a more intuitive way to incorporate AI into my workflow. Its thoughtfully organized projects and accessible workflows made delegation straightforward, allowing me to focus on higher-complexity tasks while Lyric Ai handled selected investigations and triage. What stood out most was the combination of usability, workflow visibility, and practical task delegation. Lyric Ai made AI-assisted cybersecurity work feel more manageable and accessible.”

“After 30 days of evaluating Lyric in my consumer insights and data analysis workflow at Protobrand, I saw meaningful improvements in both productivity and efficiency. I completed 34.4% more research tasks, reduced my average analysis cycle time by 32.4%, and cut research synthesis time by 40.6%. I also spent 37.5% fewer analyst hours on revisions, allowing me to focus more time on analysis rather than rework.

“What stood out was the improvement in research quality and knowledge reuse. Findings supported by traceable evidence increased from 76% to 96%, while claims requiring correction after review fell from 14% to 5%. Cross-project knowledge reuse rose from 12% to 38%, and Lyric helped surface more contradictory findings during analysis. Overall, my 30-day experience showed promising benefits for research efficiency, evidence traceability, and more consistent analytical workflows.”

“Over a 30-day pilot at Bark, Lyric handled general-purpose administrative work alongside my responsibilities as a system administrator. My administrative task time fell by 65% to 80%. Itinerary preparation was 80% to 90% faster, supplier email processing 90% to 100% faster, document and briefing preparation 70% to 90% faster, and coordination 85% to 90% faster.

“What gave me confidence was the accuracy. Routine data extraction was at least 98.9% accurate, every critical detail was verified against its source, and Lyric identified scheduling conflicts in at least 95% of our defined test cases. It applied the instructions I had established in at least 92.2% of test cases, and repeated errors after a correction declined over the pilot. Lyric completed at least 90% of eligible workflows and at least 70% of eligible tasks without substantive intervention, and the time I spent reviewing and correcting its work decreased throughout the 30 days.”