DataPoint HR · Recruitment

Hiring, with the admin handled.

DataPoint HR writes the job description, screens applications, books interviews and prepares the offer. Your recruiters review the shortlist and make the calls.

The problem

Hiring is mostly coordination. That's what we automate.

Recruitment automation uses AI and workflow software to handle the repetitive steps of hiring, from writing the job description to sending the contract, so recruiters spend their time assessing and engaging candidates.

  • High application volumes make consistent screening hard to sustain.
  • Interview scheduling turns into long email threads across time zones.
  • Feedback arrives late and in different formats from each interviewer.
  • Offer letters and contracts are rebuilt by hand from old documents.

The workflow

The hiring process, step by step

Each step hands over to the next on its own, and you can see where every candidate is.

01 / 11

Job Description

AI drafts and optimizes the job description from a brief.

AI job description creation
  1. Job Description

    AI drafts and optimizes the job description from a brief.

  2. Publish Job

    Role goes live with a shareable application link.

  3. Collect Applications

    Resumes are parsed into structured candidate profiles.

  4. Score Resumes

    Each candidate is scored and ranked against the role.

  5. Shortlist Candidates

    Your screening rules shortlist or decline, with optional review.

  6. AI Interview

    Invitations, AI interview links and calendar scheduling go out.

  7. Feedback

    Structured summaries and scorecards support the decision.

  8. Offer Letter

    An offer letter is generated from approved templates.

  9. Contract

    The employment contract is assembled and sent for signature.

  10. Onboarding

    Documents, accounts and first-week tasks are triggered.

  11. Employee Operations

    Leave, attendance and timesheets run in one dashboard.

Human in control

What's automated, and what stays human.

A simple split: the system does the repetitive parts, people decide.

StageAutomated by DataPointDecided by your team
Job descriptionDraft and optimize from a short briefApprove tone, requirements and pay details
ApplicationsCollect, parse and de-duplicate resumesDecide where roles are advertised
ScreeningScore and rank every resume against the roleSet criteria and review borderline cases
InterviewsSend invitations, AI interview links and book slotsRun final interviews and assess fit
FeedbackSummarize interviews into structured scorecardsMake the hiring decision
Offer & contractGenerate documents from approved templatesApprove terms and sign

Configurable screening

Your criteria. Applied the same way, every time.

Set must-have requirements, score thresholds and rules for automatic shortlisting or declining. Send borderline candidates for review. Every score shows its reasoning, so recruiters can check and override it.

Hiring manager
@DataPoint draft a JD for a senior backend engineer, Go and Postgres, hybrid in Dubai.
DataPoint HR
Drafted using your company template. Review it and I'll publish the role with an application link.
Senior Backend Engineer · draftREADY
Recruiter
Published. Shortlist anyone above our threshold and send AI interview links.
DataPoint HR
Done. Shortlisted candidates have their invitations; borderline cases are waiting for your review.

Before and after

Filling a role, before and after automation.

Filling an open role: manual process

Before
  1. Rewrite last year's job description by handHiring manager
  2. Download resumes from inboxes one by oneRecruiter
  3. Skim and sort resumes into a spreadsheetRecruiter
  4. Email back and forth to find interview slotsCoordinator
  5. Chase interviewers for written feedbackRecruiter
  6. Copy details into an old offer letterHR

FAQ

Recruitment automation questions

What is recruitment automation?
Recruitment automation uses software and AI to handle the repetitive parts of hiring, such as writing job descriptions, collecting and screening applications, scheduling interviews and generating offer documents, so recruiters can focus on assessing and engaging candidates.
How does AI resume scoring work?
Each resume is parsed into structured information and compared with the requirements of the role. The system produces a score and a ranking with the reasoning visible, and your configurable rules decide whether a candidate is shortlisted, declined or sent for human review.
Is AI screening fair to candidates?
Fairness depends on how screening is configured and monitored. We recommend job-related criteria only, human review of borderline and declined candidates, regular checks of outcomes, and clear communication to candidates about how applications are assessed.
What is an AI interview?
An AI interview is a structured first-round interview that candidates complete through a secure link at a time that suits them. Responses are summarized against the role's criteria to help your team decide who to meet next.
Does this work with our calendar and chat tools?
Yes. Scheduling works with Google Calendar and Outlook, and teams can work with DataPoint HR from Slack or Microsoft Teams.

See your hiring workflow automated.

Bring a live role. We'll walk through how DataPoint HR would handle it from job description to contract.