Persistent.AI
Client Stories
We collaborate every day with leading brands and global enterprises for AI success
We collaborate every day with leading brands and global enterprises for AI success
For employers and health plans, helping members access expert cancer care isn’t just about speed. It’s about precision. But that precision often hits a wall when operational systems can’t handle the load. Clinical teams are flooded with referral packets, handwritten notes, scanned PDFs, and EMRs—all needing review. That manual triage not only drains time, but also delays decisions where time matters most.
A leading U.S.-based insurance brokerage firm—offering services in insurance, risk management, employee benefits, and wealth management—had grown rapidly over the past few years. By acquiring multiple regional players, the firm scaled from mid-market revenues to over $1.3 billion in annual revenue. But with growth came fragmentation.
For a leading cloud security provider, delivering rapid, accurate compliance answers was critical to customer trust. Yet as demand surged, support teams found themselves trapped by manual processes. Most end-users weren’t technical, so every question, like “What’s my compliance score?”, required a handoff to engineers. Responses took 30 minutes or more, costs rose, and user experience lagged behind expectations.
For a platform designed to optimize bank pricing in real time, it was an uncomfortable contradiction: even the smallest change to a lending rate or pricing condition could take up to six weeks to go live. This North America-based fintech, serving top-tier banks with AI-powered pricing tools, found itself caught between market expectations and legacy architecture. While customers expected instant responsiveness, the provider’s own systems remained bound to manual release cycles, code-heavy processes, and sprawling technical debt.
For one of the largest U.S. wealth management firms, customer trust had always been the foundation. But with over 36 million active accounts and an ambitious growth trajectory, even a strong foundation can begin to strain.
For one of the world’s largest healthcare payers, the search for information had become a source of operational friction. Contact center agents — tasked with resolving a high volume of member and provider queries — were increasingly burdened by a knowledge management system that lagged behind their needs. The problem wasn’t the volume of information, but the inability to retrieve it accurately, efficiently, or contextually.
For one of the largest U.S. wealth management firms, GenAI wasn’t a buzzword. It was already in motion spanning marketing, product development, data science, and advisory tools.
A global biopharma leader had no shortage of Generative AI ideas, but they remained stuck in disconnected pilots. Across research, manufacturing, and medical affairs, small wins failed to convert into strategic momentum. GenAI was delivering local value but not driving enterprise momentum.
A Germany-based global food delivery service company that operates through multiple regional brands providing online food delivery and related services…
A global leader in integration and API management faced significant challenges in creating and managing integrations for B2B SaaS applications.…
(*) Asterisk denotes mandatory fields