Banking, Vietnam · Outbound voice, Talent Acquisition · Cloud · Pilot to October 2026

Voice AI for Candidate Prescreen and Interview Scheduling

Mass-hire screening at 4,000 to 5,000 candidates a year, without adding recruiters.

282
candidates screened by the AI in the pilot
62%
contact rate across the pilot
8/10
quality, rated by VPBank’s own HR and data teams

The client

VPBank is one of Vietnam’s largest private banks. Its Talent Acquisition Centre hires about 4,000 to 5,000 candidates a year into mass roles, which means fresh graduate and junior positions. VPBank’s enterprise data and analytics division owns the AI platform.

The problem

For mass hiring, a recruiter had to call each candidate, ask the same 3 to 5 screening questions, judge the answers, and then book the ones who passed into an interview slot. At 4,000 to 5,000 candidates a year that consumed the Talent Acquisition team’s capacity. Scheduling was worse: recruiters booked interviews by hand over email, which left gaps between slots that no candidate filled, so interviewer time went to waste. VPBank wanted to raise recruiter productivity and modernize the candidate experience without adding recruiters. VPBank framed it as a change in how it hires, not as a software purchase.

What Revve built

  • Prescreen agent: Calls the candidate, asks the scripted questions, handles off-script questions, and scores the answers against criteria and weights that HR and Revve designed together. Returns the transcript, the audio, and a scored evaluation with reasons. HR can change the criteria and re-score.
  • Scheduling agent: Calls a batch of candidates and books them into consecutive interview slots, so it closes the gaps that the manual email flow left open.
  • Integrations: SAP SuccessFactors (REC module). Pull candidate lists in bulk, push evaluations back.
  • Guardrails: The agent stays on the approved script. It discloses that it is an AI. Candidates get a notice email before the call.
  • Human handoff: Every candidate the agent passes still goes to a human Talent Acquisition interview. The agent screens; it does not decide.

Results

Measured from the Revve platform, 5 June to 31 August 2026. Test calls excluded.

MetricValue
Candidates called282 unique candidates, 1,276 calls
Contact rate across the pilot62%
Average length of a call that reached a candidate2.2 to 2.6 minutes
Roles covered3: mortgage applicants, call centre CSR, and SME relationship staff

The pilot scaled every month

  • June 2026: 68 candidates called, 407 calls, 72.7% contact rate
  • July 2026: 72 candidates called, 310 calls, 59.0% contact rate
  • August 2026: 153 candidates called, 559 calls, 55.8% contact rate

What VPBank’s own HR and data teams measured

  • Conversation quality 80 to 90% human-like, rated about 8/10, which HR judged good enough to run in production (July 2026).
  • In an early batch, all 8 candidates who completed the script also passed the human interview.
  • 20+ candidates passed screening as of mid-August.

In their words

Hoàng Đức Anh

Revve is an enabler platform. It lets us roll out a new voice AI use case in days instead of months.

Hoàng Đức Anh, Deputy Chief Data Officer, VPBank

What is next

HR wants to deploy the agent across many more roles, calling from a VPBank-branded number. The team also wants to add the Revve email agent as a second channel for reaching candidates. Beyond HR, VPBank is discussing Revve as a group-level platform at Chief Data Officer level.

Revve AI · AI customer operationsData as of 31 Aug 2026

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