Interviews don’t scale with more meetings.
They scale with better
evidence.
Traditional interviewing breaks under volume: inconsistent questions, uneven evaluation, and slow handoffs that lose strong candidates. AVAR turns the interview into a governed, repeatable system—without replacing your HR stack.
AVAR (AI‑Powered Virtual Automated Recruitment) is Intelletto.ai’s interview sidecar. It standardizes content, pacing, and decision logic; supports adaptive interview flows; and provides the analytics and auditability enterprises need to scale fairly across roles, regions, and clients.
AVAR Dashboard
Run the pipeline with confidence—funnel metrics, signal health, and audit readiness.
AVAR Dashboard is the command center for interview operations. It shows stage-by-stage conversion, drop‑off, and time‑in‑stage by role and campaign—and it also tells you whether the underlying signals are healthy: resume parsing quality, JD alignment, interview coverage, communication clarity, sentiment, and culture evidence. You see scoring distribution (auto‑shortlist vs human review), data fusion integrity (dedup/merge confidence and enrichment completeness), and governance indicators (overrides, decision logs, bias drift, and alerts) so teams can intervene early—before candidates churn or quality drifts.
- You watch the funnel (ingested → parsed → scored → longlist → hired) and spot bottlenecks in minutes.
- You see which touchpoints are weak (parsing, JD alignment, interview coverage, culture/communication signals)—and why.
- You track scoring buckets and override rates so humans and the model stay aligned.
- You get alerts when drift, bias monitors, or data‑fusion confidence moves—before quality slips.
- Higher completion and conversion because friction is detected early and fixed.
- Faster time‑to‑hire with predictable SLAs and fewer stalled stages.
- Defensible decisions with exportable audit packs, decision logs, and model version traceability.
- Closed‑loop learning through outcome KPIs (early performance, quality‑of‑hire, attrition risk) that drive continuous improvement.
Candidate Detail
Make every decision explainable—without slowing the team down.
Candidate Detail is where AVAR turns interviews into transparent, reviewable evidence. Recruiters and hiring managers can watch key moments, read transcripts, inspect touchpoint scores, and see the exact signals that drove the final Fit Score—resume match, role skills, communication, sentiment, culture alignment, and data fusion completeness. If a human override happens, it’s captured with reason codes and audit context so decisions remain defensible.
- You review candidates faster because the “why” is already organized for you.
- You jump to the exact interview moments that explain a score or a concern.
- You compare evidence across touchpoints (resume, interview, enrichment) in one view.
- You collaborate with hiring managers using shared context—no back-and-forth guesswork.
- More consistent decisions because every reviewer sees the same evidence.
- Lower risk with clear traceability for overrides and decision rationale.
- Higher hiring manager confidence from transparent, replayable proof.
- Faster throughput by reducing “review time” and unblocking approvals.
Question Bank
Stop reinventing questions—and stop arguing about what’s “good.”
The Question Bank is where AVAR keeps your interview content consistent, searchable, and safe to evolve. Questions are tagged by role, stage, skills, and usage—so teams can reuse what works, retire what doesn’t, and keep edits controlled without turning content changes into a release nightmare.
- You find role-ready questions in seconds—by skill, stage, or template.
- You edit safely with guardrails, versioning, and clear ownership.
- You avoid duplicates and weak questions by seeing usage and outcomes.
- You keep recruiters and hiring managers aligned on what “good” looks like.
- More consistent candidate evaluation across teams and geographies.
- Reduced compliance risk through controlled edits and review history.
- Better interview quality because the library improves over time.
- Faster scaling into new roles without rebuilding from scratch.
Scenario Library
Move beyond “talking about work” to showing it.
Scenarios turn interviews into practical evidence. AVAR links role-specific scenarios to questions and blueprint packs, with dependency visibility so changes don’t break downstream flows. The result: interviews that feel fairer, more realistic, and more predictive of actual performance.
- You reuse validated scenarios across campaigns with confidence.
- You see dependencies so updates don’t create hidden breakage.
- You match scenarios to skills and levels without manual mapping.
- You reduce “style bias” by anchoring evaluation in job-relevant tasks.
- Higher predictive accuracy because candidates demonstrate capability.
- Improved fairness by measuring performance on consistent tasks.
- Stronger candidate experience with more meaningful interviews.
- Better hiring manager confidence through clearer evidence.
Blueprints List
Know what exists, what’s approved, and what’s in use.
Blueprints are the building blocks for repeatable interview flows. The Blueprints List makes it easy to browse packs by role/level/campaign, see counts and coverage, and quickly understand what’s active, what’s stale, and what needs governance attention.
- You locate the right blueprint fast without tribal knowledge.
- You avoid running outdated packs because status is visible.
- You see overlap and gaps across roles before launching campaigns.
- You reduce setup time for new clients or teams.
- Faster rollout of standardized interviews across the org.
- Reduced rework because reuse is the default.
- Cleaner governance with clear ownership and status.
- Better outcomes through consistent, repeatable evaluation flows.
Blueprint Editor
Design interviews that feel calm and professional for candidates.
The Blueprint Editor is where flows are assembled: step order, timing, breaks, and preview/publish. It’s designed for clarity—so teams can create reliable interview packs without accidental complexity, and candidates experience a smooth, well-paced journey.
- You build and preview flows without spreadsheets and copy/paste.
- You control pacing (timers, breaks) so interviews feel humane.
- You publish with confidence and roll back when needed.
- You keep the flow consistent across regions and interviewers.
- Higher completion rates because pacing reduces fatigue and drop-off.
- Less operational noise from clearer, standardized flows.
- Faster iteration without losing governance or traceability.
- More scalable delivery across multiple campaigns and clients.
Adaptive Rules
Make interviews smarter without making them opaque.
Adaptive Rules allow branching based on responses, skill signals, or checkpoints—using simple, readable rules with versioning and rollback. It’s how AVAR stays adaptive (and efficient) while keeping the logic explainable to stakeholders and defensible in audits.
- You reduce interview time by skipping irrelevant paths.
- You tailor the flow to candidate signals without manual intervention.
- You maintain clear rule history and avoid “mystery logic.”
- You roll back quickly if a rule causes unintended outcomes.
- Better signal-to-time by focusing on what matters for the role.
- Improved candidate experience through relevance and pacing.
- Lower risk thanks to explainable, versioned decision logic.
- More precise evaluation without bloating interview length.
Content Governance & Audit
Operate like a regulated product, not a shared doc.
Governance is not a “later” phase—it’s the backbone of scale. This module tracks ownership, last review, change history, and supports audit export. It ensures interview content is current, compliant, and accountable across clients, roles, and regions.
- You know who owns each pack and when it was last reviewed.
- You track changes without hunting for emails or approvals.
- You export audit packs quickly for internal or client review.
- You keep a clean compliance posture even as you iterate.
- Reduced regulatory and HR risk with provable governance.
- Faster audits with export-ready evidence and history.
- Higher trust from clients and stakeholders in the process.
- Safer iteration without losing accountability.
Hiring Manager Review
Get approvals with context—then lock what was approved.
Hiring managers want confidence, not admin work. This module provides a sign-off queue with contextual comments, and locks approved content to prevent last-minute drift. It’s the bridge between engineering-grade governance and practical leadership alignment.
- Managers review the right context, not a wall of text.
- You capture decisions and comments in the system, not in chat.
- Approved packs lock—so the live interview stays consistent.
- You reduce rework by aligning earlier and clearly.
- Higher adoption because managers feel heard and involved.
- More consistent interviews by preventing post-approval drift.
- Lower churn risk from fewer late-stage surprises.
- Better hiring accountability with explicit sign-off trails.
Pack Assignment & Usage
Stop guessing what’s running where.
This module assigns interview packs to roles, clients, and campaigns, showing active/idle usage and overlap/gap spotting. It’s how AVAR avoids duplication, keeps coverage clean, and makes scaling across multi-client environments predictable.
- You assign packs with clarity across roles and clients.
- You see what’s active vs idle so you retire dead content.
- You detect overlap and gaps before a campaign launches.
- You avoid “shadow variations” that reduce consistency.
- Operational simplicity across multi-role, multi-client delivery.
- Reduced content sprawl via active usage visibility.
- Improved consistency through controlled pack assignment.
- Better scalability as you grow roles and regions.
Analytics & Experiments
A/B test responsibly, then retire weak content.
AVAR analytics focus on completion, drop‑off, satisfaction, and effectiveness. Experiments enable A/B variants with governance, so improvements are evidence-based. Over time, weak questions retire, strong flows become defaults, and interview quality compounds.
- You see which steps cause drop‑off and why.
- You run experiments without creating chaos or compliance risk.
- You track satisfaction and tune pacing and content.
- You retire weak questions confidently because the data is clear.
- Compounding quality as the system learns what works.
- Higher fairness and reliability through measured iteration.
- More predictable outcomes with continuous flow improvement.
- Stronger ROI because content investment improves over time.
Candidate Mobile Journey (01–32)
Make remote interviewing smooth, secure, and accessible.
The mobile journey turns a complex process into a calm, step-by-step flow: consent, device checks, practice, profile, content previews, scheduling, and the interview itself. It’s designed to reduce anxiety, improve completion, and keep privacy and accessibility first—without sacrificing rigor.
- Candidates know what’s next at every step—no confusion loops.
- Privacy and retention expectations are clear from the start.
- Accessibility preferences are respected without special handling.
- Scheduling and reminders feel simple, not stressful.
- Higher completion because friction is removed across 32 steps.
- Stronger employer brand through a calm, modern experience.
- Lower support load via built-in troubleshooting and alternate routes.
- Better compliance posture with explicit consent and retention handling.