500-Person Lists,
Qualified in Hours.
Most outbound lead lists are 60-70% unqualified before a sales rep ever dials. That is the most expensive place to do qualification work. Quixas deployed a Retell-based Voice AI agent that runs the qualification conversation before any human SDR is involved, so every conversation on an SDR calendar is already qualified.
Industry
B2B Sales & RevOps
Stack
Retell AI · LangGraph · n8n
Delivered
Production Voice AI deployment
Qualification Throughput
Hours
To work a 500-person list
Previously a week of SDR time. High-intent prospects now reach a human conversation while their interest is still current.
500
Leads / list
3-5
Min per call
100%
CRM coverage
Hours
500-person list worked
Previously a full week of SDR time
0%
Consistent qualification
Same framework on every call
24/7
Continuous outreach
Optimal call times + retries
0%
CRM records updated
Structured data on every contact
SDRs Burning Hours
On Disqualifying Calls.
SDRs spending most of the week on calls that produce no pipeline
A list of 500 leads arrives. Roughly 300 to 350 of them are not worth a conversation. An SDR disqualifying them one call at a time has spent the majority of their week on work that produces nothing, and their compensation, quota, and job satisfaction suffer as a result.
Speed to qualified conversation was days, not minutes
When qualification is done serially by a human, the list takes days or weeks to work through. High-intent prospects who requested contact lose interest long before anyone reaches them.
Inconsistent qualification across reps and calls
Different SDRs apply qualification questions differently. The result is inconsistent pipeline quality that makes forecasting unreliable and confuses the handoff to Account Executives.
CRM hygiene quietly decaying over time
Disqualified contacts often end up in ambiguous states in the CRM, not clearly marked, not reliably excluded from future campaigns, creating noise in the pipeline data that compounds with every campaign.
A Voice AI Agent
That Qualifies Before Humans Do.
Quixas deployed a Voice AI agent built on Retell AI that runs the full qualification conversation, writes structured data back to the CRM, and routes only qualified leads to an SDR. Every SDR call starts with context; every disqualification is structured; every list is worked in hours.
Outbound Call
Retell AI voice layer
Qualification
Scripted framework
Data Extraction
LangGraph parser
CRM Write-Back
HubSpot / Salesforce
SDR Routing
n8n rules engine
From Kickoff to Qualified Calendars in 4 Weeks.
Framework & Script Definition
Mapped the client's qualification criteria, reviewed closed-won and closed-lost recordings, and wrote the conversational framework the agent would follow on every call.
Voice Agent Build
Built the Retell AI voice agent, wired the custom call-flow logic in Python, and implemented the LangGraph qualification parser that converts call transcripts into structured CRM data.
CRM & Routing Integration
Connected the agent to HubSpot / Salesforce via REST, wrote the n8n routing rules for territory and vertical assignment, and built the SDR notification flow.
Calibration & Handoff
Ran the agent against a live pilot list in parallel with the SDR team, calibrated the qualification thresholds against real outcomes, and handed over operational runbooks.
SDR Calendars Filled With
Only Qualified Conversations.
Hours
To work a 500-person list
A list that previously took a week of SDR time can now be worked in a matter of hours. High-intent prospects reach a human conversation while their interest is still current.
100%
Consistent qualification framework
Every call uses the same framework. Pipeline quality is consistent and predictable, and forecasting gets materially more reliable.
Lower
Cost per qualified lead
The cost per qualified lead drops when the qualification work is done by a Voice AI agent rather than a fully-compensated SDR. SDR time only touches already-qualified prospects.
Higher
SDR job satisfaction and close rates
SDRs spend their time on conversations that have a real chance of progressing, not on calls designed primarily to disqualify. Close rates from the qualified pipeline are higher because conversations start with more context.
Our SDRs were spending most of their week disqualifying cold lists. Now every conversation on their calendar is already qualified, with a transcript and structured notes waiting in the CRM. It changed the economics of outbound for us entirely.
Head of Sales Development
B2B SaaS, Mid-Market
Client name withheld by request.
Is Your SDR Team Spending More Time
Disqualifying Than Selling?
We have built Voice AI qualification systems that work a 500-person list in hours and hand SDRs only the conversations worth having. In 30 minutes we map your qualification criteria, estimate the cost of disqualifying calls today, and show you what an automated version looks like.