Put an AI voice agent on your queue in 30 days — with the compliance story already written.
A production AI contact-center pilot: real-time voice agents, compliance recording, an operator dashboard with human-in-the-loop controls, and usage metering. Built on Azure, deployed in your tenancy or ours.
A pilot lane for one call flow, not a rip-and-replace promise
The request starts a scoped buyer conversation with the system, artifact, and human review path visible up front.
A concrete artifact or pilot scope, not a generic discovery call.
Fat Tailed Solutions builds, ships, and runs the system.
This page captures the context needed to reply without a second intake step.
A pilot lane for one call flow, not a rip-and-replace promise
The request starts a scoped buyer conversation with the system, artifact, and human review path visible up front.
- Work product
- A concrete artifact or pilot scope, not a generic discovery call.
- Operating owner
- Fat Tailed Solutions builds, ships, and runs the system.
- Request path
- This page captures the context needed to reply without a second intake step.
- Human gate
- Nothing is sold or turned on without a scoped follow-up.
- Source context
- The reply is tied to the offer and page that brought you here.
- Fallback
- The original Google Form stays available if the embedded request path fails.
Why voice-AI pilots stall
- Vendor demos are slick; production deployment dies in security review.
- Nobody can answer compliance: where are recordings stored, who can access them, what's auditable?
- Per-minute pricing at scale turns the business case upside down.
- Your ops team gets a black box with no operator controls, no escalation paths, no dashboard.
What you get
- A scoped AI voice agent live on one call flow (triage, FAQ, or qualification) within 30 days.
- Compliance recording and transcripts with role-based access — audit trail included.
- Operator dashboard: live monitoring, human takeover, and review queues.
- Deployed on Azure infrastructure-as-code — your tenancy or ours, your data policies.
- Cost model with real per-call economics before you scale.
How it works
- 1
Pick one call flow
We scope a single high-volume, low-risk flow with your ops and security teams.
- 2
30-day build & drill
Deploy, test against real traffic patterns, run failure drills, tune with your team.
- 3
Decide with data
Go-live metrics, cost-per-call, and a scale-up plan — or walk away with the report.
50% deposit to schedule, balance on go-live. Includes deployment, compliance documentation, operator training, and a scale-up cost model. 3 pilots per quarter.
Request a pilot slot
Tell us about your call volume and the flow you'd automate first — we'll respond with a scoping call within one business day.
Skip the pitch. Tell us the live situation: what happens today, where it breaks, and what would prove this belongs in your workflow.
- Current state
- Tools, volume, team, or workflow as it works today.
- Where it breaks
- Missed calls, slow searches, manual rework, risk, or revenue slipping away.
- First useful proof
- The one result that would make you say: yes, keep going.
A straight fit/no-fit read, a small first move, and the evidence we’d use to judge whether it worked.
No client files, passwords, private matter facts, or account access in the first note. Rough context is enough.