AI · HR

AI HR Helpdesk and Resume Parsing

Less time on resumes and policy questions, more time on people.

We build AI for HR: resume parsing into structured profiles, shortlisting suggestions against criteria you set, and an HR helpdesk agent that answers employee questions from your policies with citations, always with a person making decisions.

  • Resume parsing
  • Policy answers
  • Human decisions

Free 30-minute call with a senior specialist. Reply within one business day. Based in Jaipur, working with businesses across India.

100%of agent actions logged
5governance gates
2 weeksfixed-price Discovery Sprint
Quick answer

What is an AI HR helpdesk and resume parsing agent?

An AI HR agent parses resumes into structured profiles, ranks them against criteria you define for a person to review, and answers employee questions about leave, payroll and policy using your own documents with citations. Stack18 builds it with fairness checks and keeps hiring and people decisions with humans.

Last reviewed 30 October 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18

AI HR Helpdesk and Resume Parsing at a glance
What it coversResume parsing; Shortlisting support; Employee helpdesk; Candidate communication; Fairness and privacy.
Typical first stepDiscovery Sprint: 2 weeks, fixed price.
Build routeFixed-scope first release: agreed in discovery; fixed price after discovery.
Long-term optionTransformation Pod: 12–36 months, annual contract.
Measured byScreening time per role; HR queries handled without staff; Time to first response; Recruiter hours saved. Each against an agreed baseline.
GovernanceHuman approval at 5 governance gates, every AI agent action logged, NDA available on request.
Delivery teamBased in Jaipur, India. A senior specialist replies within one business day.
Is this you?

You need this when…

Tap the ones that apply to you.

Most teams we work with recognise two or three of these.

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What we deliver

AI HR Helpdesk and Resume Parsing, end to end.

Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.

Resume parsing

Structured profiles from any resume.

  • Extraction of skills and experience
  • Duplicate detection
  • ATS or sheet posting

Shortlisting support

Suggestions with reasons.

  • Criteria-based ranking
  • Explanations per candidate
  • Recruiter override

Employee helpdesk

Instant answers from your policies.

  • Policy Q&A with citations
  • Leave and payroll FAQs
  • Escalation to HR

Candidate communication

Keep people informed.

  • Status updates on WhatsApp and email
  • Interview scheduling
  • Feedback capture

Fairness and privacy

Responsible use of people data.

  • Bias review of criteria
  • Access control
  • Retention rules
How we work

A typical engagement, step by step.

Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.

01Week 1

Discovery

Map how HR automation works today, the systems and data involved, and agree the first measurable outcome.

You getScope, success measures and fixed price
AgentsCompassDraft
02Weeks 2–3

Design

Design the workflows, roles, integrations and approval points for HR automation.

You getBlueprint and clickable prototype
AgentsBlueprint
03Build phase

Build in weekly demos

Your team sees working HR automation software every week, with changes agreed in the open.

You getWorking release each week
AgentsWeldGridWatch
04Go-live

Launch and support

Data migration, training, go-live support and a measured 30-day review against the baseline.

You getLive system and trained users
AgentsLaunchPulse
Offer

Start small. Scale when it works.

Every engagement begins with a short, fixed-price step so you can judge the fit before committing further. See pricing.

Start here

Discovery Sprint

Teams deciding scope and priorities before they commit.

Duration
2 weeks
Pricing
Fixed price
  • Scoped plan and timeline
  • Team and fixed price
  • Process map or prototype
Start with Discovery Sprint
Custom route

Fixed-scope first release

Teams that know what they need built.

Duration
Agreed in discovery
Pricing
Fixed price after discovery
  • Written scope and acceptance criteria
  • Weekly demos
  • Handover with documentation
Discuss Fixed-scope first release
Long-term

Transformation Pod

Multi-system programmes that run for years.

Duration
12–36 months
Pricing
Annual contract
  • Dedicated cross-functional team
  • Quarterly business reviews
  • One accountable partner
Discuss Transformation Pod
Proof of capability

What we have shipped, and what a typical engagement looks like.

Delivered projects link to the full case study. Illustrative scenarios describe typical engagements and are not named client results.

Illustrative scenario

Growing services firm

Challenge
Recruiters reading every resume; HR answering leave questions all day.
What we do
Resume parsing with ranked suggestions and a policy helpdesk.

Pilot in weeks

171modules across 6 ready-made solutions, each priced in rupees
10specialised AI agents on the Agentic SDLC
5human governance gates before anything reaches production
2018founded in Jaipur by Prateek Mathur
₹0per-user licence fees on every ready-made solution
1 daysenior specialist reply to every enquiry
Free for qualified businesses

Free HR automation review

Tell us where HR automation hurts most. We map what to fix first, whether ready-made or custom fits, and a realistic first step.

  • Where to start and why
  • Ready-made vs custom view
  • Indicative timeline
Request your free HR automation review
Outcomes we measure

We agree targets before we start.

Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.

Screening time per rolebaseline vs target
HR queries handled without staffbaseline vs target
Time to first responsebaseline vs target
Recruiter hours savedbaseline vs target
Policy query volumebaseline vs target
Candidate drop-offbaseline vs target
FAQ

AI HR Helpdesk and Resume Parsing questions.

Ask us anything
Does AI decide who gets hired?

No. It structures and ranks for a recruiter to review. Hiring decisions stay with people.

How do you reduce bias?

By using job-relevant criteria you define, excluding sensitive attributes and reviewing outcomes. No system is bias-free, so human review remains essential.

Can it answer from our HR policies?

Yes. It answers from your documents with citations and escalates what it cannot answer.

Is candidate data protected?

With access control and retention rules. Your counsel should confirm legal obligations.

Does it work with our ATS?

We integrate with common ATS tools through APIs, or post to sheets and your HRMS.

Start a conversation

Let's scope your AI HR Helpdesk and Resume Parsing project.

Tell us where you are and where you want to be. A senior specialist will reply within one business day with next steps.

  • Free 30-minute consultation
  • Indicative estimate after the call
  • NDA available on request

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