Recruitment & HR use case

Outbound Recruitment Agent AI Agent

Automate candidate outreach and qualification across WhatsApp, Email, Voice while improving response rate and reducing time-to-screen.

Example: Outbound Recruitment Agent that pitches the JD, qualifies candidates, and captures resumes.

Channels: WhatsApp · Email · Voice Outcomes: Higher response rate · faster pipeline build
Enterprise security
Prebuilt integrations
Go-live in weeks
Omnichannel
Teams

Talent Acquisition, Recruiting Ops, HR Ops, Employee Support

Entry points

Careers page widget · WhatsApp deep link · Email · Inbound number · Teams/Slack

Deployment

Secure actions, supervised handoff, and full audit trails.

Who it's for

Built for teams that need speed and control

Talent Acquisition Recruiting Ops HR Ops Employee Support WhatsApp Email Voice Careers page widget WhatsApp deep link Email Inbound number Teams/Slack
What it does

Outcomes-first jobs your buyers care about

Pitch the role

How: Shares role summary, compensation range, and location.

Outcome: Higher response

Qualify fit

How: Checks experience, notice period, and skills.

Outcome: Better shortlist

Collect resume

How: Requests resume upload or LinkedIn.

Outcome: Faster screening

Schedule screening

How: Books recruiter call for high-intent candidates.

Outcome: Shorter cycle time

End-to-end workflow

Step-by-step flow buyers expect to see

  1. 1

    Trigger: new requisition

    ATS list created.

  2. 2

    Outreach

    WhatsApp/email/voice.

  3. 3

    Qualification

    Experience and notice period.

  4. 4

    Action

    Resume capture + ATS update.

  5. 5

    Exceptions

    Unclear responses flagged.

  6. 6

    Wrap-up

    Schedule recruiter screen.

Sample conversations

Real scenarios with clear resolution paths

Scenario A: Happy path: interested candidate WhatsApp

Agent: We have a Product Analyst role in Bengaluru. Interested?

Candidate: Yes.

Agent: Please share your resume.

CRM note: Interested candidate. Resume requested.
Scenario B: Edge case: notice period Voice

Candidate: My notice is 90 days.

Agent: I will note that and check if acceptable.

CRM note: Notice period 90 days. Flagged for recruiter.
Scenario C: Escalation: salary negotiation Voice

Candidate: I need 30% more.

Agent: I will connect you to the recruiter.

CRM note: Salary expectation higher; recruiter callback scheduled.
Integrations

Systems connected with secure actions

Systems of record

ATS, HRMS, CRM

Service stack

Ticketing, Knowledge base

Comms

Email, WhatsApp, Voice, Teams/Slack

Action tools

Calendar scheduling, Doc collection, Offer letters, ATS, Resume upload

Supported methods: API · Webhooks · RPA fallback Data sync: Read + write
Guardrails & controls

Enterprise readiness built in

Role-based access with OTP or SSO for sensitive actions
PII redaction and masked views for IDs and payment details
Policy-locked response blocks for compliance language
Sentiment and risk thresholds that trigger human takeover
Full transcripts, action logs, and disposition codes
QA sampling, scorecards, and prompt/version control
KPIs & measurement

What you will improve

Response rate

Replies to outreach or screening.

Screening completion

Candidates finishing screening.

Time-to-interview

Days from application to interview.

No-show rate

Missed interviews as a percent.

Time-to-offer

Days to issue offer after screening.

Offer acceptance

Offers accepted by candidates.

HR SLA

Time to resolve employee tickets.

Employee NPS

Employee satisfaction with HR support.

Configuration

Flexible to your policies, tone, and tools

Intents and flows
Tone and brand voice
Knowledge sources (FAQs, SOPs, policy docs)
Eligibility and routing rules
Dispositions and tags
Languages and accents (voice)
Business hours, SLAs, and fallback policies
Implementation plan

A phased rollout with clear deliverables

Week 0

Discovery + call listening

  • Workflow map and intent list
  • SOP alignment and compliance notes
  • Success metrics and QA plan
Phase 1

Pilot on 1 channel + 1 workflow

  • Agent prompts and guardrails
  • Test cases and failover scripts
  • Live dashboard with baseline KPIs
Phase 2

Expand intents + integrate systems

  • System actions and data sync
  • Multi-channel coverage
  • Supervisor playbooks
Phase 3

Optimize + scale

  • Continuous QA coaching
  • A/B tested prompts and flows
  • Governance and reporting
FAQs

Buyer objections, answered

How do you handle exceptions?

The agent routes exceptions to a human with full context, suggested next steps, and a clear disposition.

What happens when the agent is unsure?

It asks clarifying questions, consults the approved knowledge base, or escalates based on confidence thresholds.

Can we restrict what it can say or do?

Yes. Guardrails lock sensitive responses and require approvals for authenticated actions.

How are transcripts stored?

Transcripts and action logs are stored with retention controls and audit access.

How does handoff work with our CRM or ticketing?

The agent writes structured notes, tags, and next steps directly into your system of record.

What languages and accents are supported for voice?

Major Indian and global languages with configurable voice and accent options.

See this agent live on your workflow

See the agent live with your data, policies, and channels.

Deploy an AI-supervised agent for your highest-volume workflow.

We consult, design, build, and manage the agent end-to-end.