# Onboarding checks · Use cases · Dscvry

> Onboarding checks: identity documents, proof of address and company records checked against the application and your policy, with every gap flagged before...

Source: https://dscvryai.com/use-cases/onboarding-checks/

# Is this customer who they say they are?

Every identity document, proof of address and company record checked against the application, so the gaps are flagged before the account is opened.

See it worked through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Onboarding checks

## The forms are complete. The checks are not.

An onboarding file can look finished and still hide a name that doesn’t match, an expired passport or an owner nobody verified.

### Documents that disagree.

The name, date of birth and address differ slightly between the passport, the utility bill and the form.

### Checks done by eye.

Expiry dates, document numbers and photos are compared by hand, one file at a time.

### Owners left out.

For a company, the people behind it sit in a registry extract that rarely gets read in full.

## What the AI reads.

Every document in an onboarding file read against the application and against each other.

### In

- Application forms
- Passports and identity cards
- Proof of address
- Company registry extracts
- Sanctions and watchlist results
- Your onboarding policy

### At work

1. [Sense](https://dscvryai.com/technology/sense/) Reads scans and photos of identity documents, including the machine-readable zone.
2. [Understand](https://dscvryai.com/technology/understand/) Pulls out names, dates, numbers and addresses from every document.
3. [Check](https://dscvryai.com/technology/check/) Compares each fact across documents and against your policy, and tests expiry dates and check digits.
4. [Operate](https://dscvryai.com/technology/operate/) Drafts the request for anything missing and routes the file to a reviewer.

### Out

One checked file. Every gap named, with the document that shows it.

## Every document checked. Every gap named.

The onboarding team sees what agrees, what doesn’t and what is missing, with the document beside each check.

Onboarding file OB-24117 · The reasoning ·

Onboarding file OB-24117 · Business account · Harrow Lane Trading Ltd Illustrative

6 checks · 3 agree · 2 to resolve · 1 missing

| Ref | Check | Result | Detail | Document |
|---|---|---|---|---|
| C1 | Director’s name matches the form | Agrees | Passport and application both read Daniel R. Okoro | Passport |
| C2 | Passport in date | Expired | Expired on 3 August 2026 | Passport |
| C3 | Address matches proof of address | Differs | Bill shows Flat 4; the form shows Flat 14 | Utility bill |
| C4 | Company number and name | Agrees | Registry extract filed 12 May 2026 | Registry |
| C5 | Owners above 25% identified | Missing | Registry lists a second owner with 40%; no documents supplied | Registry |
| C6 | Sanctions and watchlist screening | No match | Both owners screened today | Screening |

Illustrative example. People, company, documents and dates are fictional.

## Built for onboarding controls.

The AI checks the file. Your policy and your analysts still decide who becomes a customer.

### No account opened automatically.

Every file is decided by a person, with the checks laid out.

How Operate works
https://dscvryai.com/technology/operate/

### Every gap shows its document.

The passport page, the bill or the registry line sits beside each flag.

How Check works
https://dscvryai.com/technology/check/

### Personal data stays inside.

Identity documents are processed inside your boundary, never shared.

Deployment options
https://dscvryai.com/#deployment

## Same records. Other questions.

The documents and data behind this work answer other questions too.

What personal data is in these files?

### Sensitive data

Find it and remove it before anything is shared.

See how →
https://dscvryai.com/use-cases/sensitive-data/

Where is the evidence for the audit?

### Audit evidence

Pull the proof together from every system.

See how →
https://dscvryai.com/use-cases/audit-evidence/

Which invoices are we overpaying?

### Invoice errors

Catch overbilling, duplicates and mistakes before payment.

See how →
https://dscvryai.com/use-cases/invoice-errors/

Can we trust these numbers?

### Data quality

Find duplicates, gaps and records that disagree across systems.

See how →
https://dscvryai.com/use-cases/data-quality/

More in Finance
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us a sample of onboarding files.

We’ll check them against your policy and show you every gap we find, with the document behind it.

[Talk to us →](https://dscvryai.com/contact/?topic=Onboarding%20checks%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India
