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AI Interview Automation

We design interview automation systems that can guide candidates through structured interviews, collect responses, and help hiring teams compare candidates more consistently.

Typical impact

3xFaster screening
1Role scoreboard
80%Less manual note-taking

Based on similar deployments. Actual results depend on your workflow and data.

When to choose this

  • HR teams screening high volume for the same role
  • Hiring managers who want consistent questions per JD
  • Remote-first companies using async or AI-led first rounds

Is this solution for you?

A quick check before you invest time in a call — who gets the most value, and when to pick something else.

Good fit if you…

  • HR teams screening high volume for the same role
  • Hiring managers who want consistent questions per JD
  • Remote-first companies using async or AI-led first rounds
  • Recruiters tired of scattered notes and missing transcripts

Probably not if you…

  • Executive hires where every conversation is bespoke from minute one
  • Roles with no written JD or scoring rubric
  • Companies that cannot store interview recordings compliantly

Before vs after

What actually changes in day-to-day operations — not marketing fluff.

Screening

Today

Recruiter chases notes across email and docs

With this solution

Transcript + score on one scoreboard

Consistency

Today

Each interviewer asks different questions

With this solution

JD-based rounds for every candidate

Comparison

Today

Subjective memory in debrief meetings

With this solution

Side-by-side scores for the role

Speed

Today

Calendar coordination for first screen

With this solution

Async AI round before live panels

How a request moves through the system

Rounds and questions are generated from the JD, then HR can edit them. AI-led interviews and transcripts feed a scoring report and role scoreboard. Recommendations are reviewable; they are not a silent hire.

1
JD uploadedBoth

Role requirements drive round structure and questions

2
Candidate inviteBoth

Interview link or scheduler sent with instructions

3
AI interviewAI

Structured questions, follow-ups, transcript capture

4
ScoringAI

Rubric applied; scores appear on role scoreboard

5
HR reviewHuman

Recruiter edits questions or overrides recommendation

6
DecisionHuman

Hiring manager advances or rejects with full record

Real scenarios

Concrete situations this solution is built to handle — not generic feature bullets.

Scenario 1

Screening a large slate for one role

AI-led interviews and structured scores let HR compare ten candidates on the same criteria before panel time is spent.

Scenario 2

A hiring manager who missed the live round

Transcript and scoring report are available on the scoreboard, so review is not 'ask someone what they thought.'

Scenario 3

HR adjusting questions mid-search

If the JD shifts, custom questions can be edited without throwing away the rest of the round structure.

What we build

  • JD-based interview flows
  • Question routing and scoring
  • Transcript and note capture
  • Recruiter review dashboards
  • Role scoreboards for candidate comparison
  • Human review of AI recommendations

Outcomes you can expect

  • Faster screening with structured evaluation
  • Shared scoreboard per role
  • Transcripts instead of lost notes
  • HR control over questions and final hire

Connects with

Google Meet transcripts
ATS exports
Calendar scheduling
HRIS
Email notifications

Common use cases

  • · HR screening automation
  • · Candidate interview flows
  • · Role-based scorecards
  • · Hiring operations dashboards

How we typically deliver

Phases and outputs so you know what happens week by week. Timelines adjust to your scope.

Week 1–2

Scoring rubric and JD template for one role

You get: Interview workflow blueprint

Week 3–4

AI interview flow + transcript storage

You get: Pilot role live

Week 4–5

Scoreboard and HR override UI

You get: Recruiter training session

Week 5+

Roll to additional roles and refine questions

You get: Hiring ops dashboard

Interview workflow blueprint
Scoring and review model
Data capture and transcript plan
Deployment support

Common questions

Does the AI make the hiring decision?

No. The system runs structured interviews, captures transcripts, and produces scores and recommendations so HR and hiring managers can compare candidates consistently. People still review evidence and make the hiring decision. That separation matters for fairness, accountability, and trust with candidates. Automation removes repetitive early-round scheduling and inconsistent questioning; it does not outsource final judgment. We design reporting so a score is backed by what happened in the interview, not a black-box verdict.

How are interview rounds created?

Rounds are configured from the job description and role requirements, then HR can edit custom questions so the process stays aligned with the team’s bar. Structured scoring rubrics keep comparisons consistent across candidates. You control which rounds are automated versus human-led. Changes to the JD can update future interview kits without rewriting the whole process. During setup we align on competencies, disqualifiers, and what must never be asked. The result is a repeatable interview kit, not a one-off script per recruiter.

What is captured from interviews?

Transcripts and structured scores are captured so ratings are backed by evidence from the conversation, not only an interviewer’s memory hours later. Hiring teams can review what was asked, how the candidate responded, and how scores map to competencies. Access controls determine who can see recordings or transcripts based on your policy. That auditability helps calibration across interviewers and reduces “gut feel only” debates. We configure retention and privacy settings to match your HR and legal requirements during deployment.

Who is this for?

It is for companies that want consistent, JD-based hiring—especially teams screening many candidates and comparing them on a shared scoreboard. High-volume recruiting, distributed hiring managers, and roles with clear competency frameworks see the most value. It is less useful when every hire is a unique executive search with no shared rubric. During discovery we confirm volume, interview stages, and fairness requirements. The outcome is faster, more consistent early-round signal for humans to decide on—not automated hiring.

Shipped in production

Related case study

AI Interview Management Platform

AI Interview Management Platform

An HR platform for JD-based hiring, AI-led interviews, Google Meet transcript capture, scoring reports, and role scoreboards.

Read the full case study

Other solutions

Want this mapped to your workflow?

We will walk through your tools, volume, and escalation rules — and tell you honestly if this is the right fit.

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