Tech debt bottlenecked support. A four-month rebuild deployed distinct models for routing and search, enforcing strict data residency.
A SaaS provider of HR tools for mid-to-large enterprises relied on a legacy stack of rules-based chatbots and static portals to serve its global customer base.
This fragmented architecture created user friction and carried technical debt that stifled rapid innovation. Additionally, the system struggled to...
“AI is such a transformative shift that we didn’t want to be constrained by historical thinking, technical debt, or functional limitations. We chose to rethink our platform through the lens of AI so that it was future-proof, adaptable, and capable of unlocking the full potential of generative AI.”
AI-powered HR service delivery and employee experience platform for enterprises.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Legacy cloud limits bottlenecked performance. On Bedrock, autonomous agents now resolve 80% of queries with 84% accuracy.
Sales reps waited 30 seconds for English-only insights. Moving to Claude 3 cut inference to 2 seconds and scaled to 31 languages.
Login and 2FA queries buried agents. Replacing video content with text allowed AI to resolve 88% of tickets.
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.