Models & Infrastructure
Voice AI Consulting
Phone and voice AI that actually resolves calls, not a frustrating IVR with a new coat of paint.
Voice AI demos always sound impressive. Running one in production, at real call volume, with real customers who are already frustrated, is a different problem. This engagement covers the full path from picking which calls are safe to automate, through scripting the conversation flow, to tuning containment rate against real transcripts after launch, so the finished system holds up outside the demo room.
Sound familiar?
- ✓Call volume is growing faster than your team can hire
- ✓Existing IVR or chatbot deflection feels robotic and callers hate it
- ✓You've seen voice AI demos that sound great but you don't know what it takes to run in production
What the engagement looks like
Use-case and script design
Identify which calls are safe to automate and script the conversation flow around your actual callers.
Voice agent build or vendor selection
Build on your preferred platform or help pick the right vendor for your call volume and budget.
Containment tuning
Iterate post-launch on transcripts and outcomes to raise containment rate without frustrating callers.
This is a good fit if you're…
- Call centers and support teams facing rising volume
- Companies evaluating voice AI vendors and want an independent read
- Teams with a voice AI live but containment or CSAT is underperforming
Rate for this engagement runs $150–$250/hr, scoped after a free intro call.
Frequently asked questions
Should we build our own voice AI or use a vendor platform?
It depends on call volume and how differentiated the use case is. High volume with a standard use case usually favors a vendor platform. Lower volume with a unique workflow can justify a custom build. Part of the engagement is running that comparison for your numbers.
What's a realistic containment rate to expect?
It varies heavily by call type, but well-scoped use cases (appointment scheduling, status checks, simple troubleshooting) commonly land between 40 and 70 percent containment. Broad, open-ended support is harder and usually needs a narrower first use case.
Can you improve a voice AI system we already have live?
Yes, this is a common entry point. Tuning an underperforming system against real call transcripts is often faster and cheaper than starting over.
Ready to get started with Voice AI Consulting?
No pitch deck, no obligation. Just a straight answer on whether AI can actually help your situation, and how.
$150–$250/hr · no contracts, no retainers required