Mahad ecosystem case study

Recruitment ERP

Candidate document intake and profile population

PlannedMahad ecosystem product — not an external customer

The problem

Agency submissions arrive as document bundles. Staff retype passport and ID details into candidate records, which is slow and introduces errors that are expensive to correct later.

Document workflow

  1. 1Agency uploads a candidate document bundle
  2. 2Each document is sent to Mahad OCR
  3. 3Extracted fields pre-fill the candidate profile
  4. 4A recruiter confirms or corrects before submission

How Mahad OCR is used

Planned integration through the public API with its own tenant and quota.

Data extracted

  • passport fields
  • national ID fields
  • CV structure
  • document expiry dates

Verified status

No Mahad OCR tenant or processed documents exist for Recruitment ERP today. Intended workflow only.

Review and correction

Recruiter confirmation step before the candidate record is finalised.

API connection

Not yet connected to Mahad OCR.

Operational benefit

Candidate profiles populated from documents rather than keyed in by hand, once connected.

Try it on your own document

Run the live demo, or create an account and get an API key.