AI Agents That Handle the Call. Every Call.
Not a chatbot that deflects. Not an IVR that frustrates. AI agents that understand intent, take action, and follow through — across voice and text, 24/7, in any language. Built with the FDE framework.
Your Best People Are Answering Questions a Machine Should Handle
Patient intake queues. Policyholder status calls. Lead qualification backlogs. Support triage. These are high-volume, low-variance interactions that consume your team's time and slow your most important workflows.
Existing solutions — scripted bots, basic IVRs, first-generation chatbots — handle the easy 20% and fail visibly on the rest. They don't understand context. They don't take action. They transfer.
The cost isn't just operational. Every failed interaction is a patient who didn't get scheduled, a lead that went cold, a policyholder who called back frustrated.
Agents That Understand, Act, and Hand Off Gracefully
We build voice and chat agents that are production-ready from the first deployment — not prototype-quality systems that need constant babysitting.
Intent understanding
Beyond keywords — the agent grasps what the caller actually needs
Action capability
Books appointments, updates records, qualifies leads, files requests directly
Multilingual by design
Natively supported across your priority languages
Voice-native architecture
Built for real speech patterns, interruptions, accents, noise
Escalation intelligence
Knows when to hand off to a human with full context transfer
24/7 availability
Consistent quality at 3am that matches 9am
High-Volume Interactions That Demand Precision
Healthcare
Patient intake, appointment scheduling, prior-auth status, discharge follow-up
Insurance
Policyholder service calls, FNOL intake, claims status, renewal prompts
SaaS & tech
Lead qualification, onboarding support, feature adoption nudges
Clinics & wellness
Consumer health Q&A, clinic lead generation, appointment booking
In Production: Nova & NVelUp
Nova is an Optywise-built health and wellness chat agent that answers consumer health questions, guides users toward better outcomes, and generates qualified patient leads for clinics providing professional care.
Typical range: agents like Nova handle 80–90% of inbound queries without human intervention, with lead-to-booking conversion rates 2–3× higher than static web forms. (Typical range)
NVelUp deployed an AI-powered patient onboarding agent using AWS Textract combined with a conversational intake flow.
Typical range: healthcare intake agents at this scale reduce administrative staff time on onboarding by 60–70%, with document error rates dropping below 3%. (Typical range)
Show Us Your Highest-Volume Call or Chat Flow
In one session, we'll map your current interaction volume, identify where an AI agent creates immediate ROI, and give you a deployment timeline — not a roadmap to a roadmap.
Schedule a Consultation