A voice interviewer agent that runs the structured interview and scores it against the role's rubric.
Professional services · United States · Agents
1,000 screening calls an hour
screening throughput
from 1,000 calls a month to 1,000 an hour
- Client
- Silicon Valley technology company, anonymized
- Agents
- Voice Interviewer
- Source
- Client call volume before and afterVerified by Proof Ledger, Sep 2026

Thanks, Diego. Tell me about a service you took to production and what broke first.
A payments API. The retry logic broke under load.
How did you find it, and what did you change?
Latency alerts. We added idempotency keys and a backoff.
Rubricquestion 4 of 6
- Production experiencestrong
- Debuggingstrong
- Communicationclear
Written to the ATS
Transcript, score and recommendation · a recruiter reviews the shortlist
Context
The starting point
A Silicon Valley technology company screens every applicant by phone before a recruiter sees the profile. Its team ran about 1,000 calls a month.
Every hiring push outran that capacity, so the queue grew instead of the shortlist.
- Screening calls a month
- 1,000
- Who made them
- Recruiters on the phone
What we built
Built inside the client's systems
Parallel calling on the DaCodes voice stack, so a month of interviews fits in one hour.
Transcript, score and recommendation written to the ATS. A recruiter reviews every shortlist.
Channel
- Phone call
Runs on: DaCodes voice stackLangGraphBedrock AgentCore
Systems of record
- ATS
- Reclutalia
Results
What changed
720x
Screening throughput multiplied by 720: from 1,000 calls a month to 1,000 an hour.
One month
1,000 calls a month, recruiters on the phone
One hour
1,000 calls an hour, the voice agent
720xthe same 1,000 calls, in an hour instead of a month
Verified by Proof Ledger, Sep 2026
- 01
Recruiters moved from dialing to deciding: they read scored shortlists instead of running first calls.
- 02
Cost and time-to-shortlist enter the ledger when the client signs them off.
People & talent
Voice Interviewer
Structured voice interviews at scale, scored and written to your ATS. Packaged as Reclutalia.
Verified by Proof Ledger, Sep 2026
Every figure has a row
Exact text, source, date, owner and permission. A row that stops being true comes off this page.
This client asked not to be named. The ledger row identifies it internally.
How the Proof Ledger worksPublished
- Claim
- 1,000 screening calls an hour
- Source
- Client call volume before and after
- Date
- Sep 2026
- Owner
- Practice lead
- Client permission
- Anonymized
- Next review
- Oct 2026, AI Council
Which process do we automate first?
Two discovery sessions, no cost, and you leave with two or three quick wins whether or not you build with us.
We reply in under one business day.
