Speed up KYC and client onboarding reviews

Use AI to extract details from onboarding documents, check completeness against your checklist and summarise files for the reviewer.

By the AIForThisJob team · Added · Jump to the prompt ↓

The job: Onboarding packs arrive incomplete, analysts re-key data from PDFs, and periodic reviews pile up.

What AI actually does here

  • Extracts entity details, directors, owners and addresses from documents.
  • Checks the pack against your firm’s checklist and lists what’s missing.
  • Summarises the file and highlights inconsistencies for the analyst.

Tools to look at

  • Client lifecycle and KYC platforms such as Fenergo (check current AI features)
  • Document extraction (OCR plus AI) within firm-approved systems

Named tools are examples, not endorsements. We have no paid relationships with them at the moment; see our disclosure.

What you need first

  • Your firm’s documented AML/KYC policy. The decision and accountability stay with people (see the FCA’s financial crime pages).
  • A data protection assessment: this is personal data (see ICO guidance).
  • A test set of past files with known correct outcomes, to measure accuracy before go-live.

How to measure ROI

  • Days from first contact to account opened.
  • Analyst hours per file, and the backlog of periodic reviews.
  • Rework rate: files sent back by quality assurance.
  • Time saved only counts if it’s redeployed or avoids extra hiring.

Run the numbers in the ROI calculator →

What the evidence says

In the Bank of England and FCA 2024 survey, firms rated anti-money laundering and combating fraud among the areas with the highest current perceived benefit from AI.

Ready-to-use prompt

Replace the [BRACKETS]. Only paste data you’re allowed to share with the tool you’re using.

View promptYou are assisting a KYC analyst. The documents are TEST or ANONYMISED.
You are assisting a KYC analyst. The documents are TEST or ANONYMISED.

CHECKLIST (from our policy):
"""
[paste required items for this client type]
"""

DOCUMENT TEXT:
"""
[paste extracted text]
"""

1. For each checklist item: present / missing / unclear, with the quote and document it came from.
2. List any inconsistencies (names, dates, addresses, ownership percentages).
3. Write a 5-line file summary for the reviewer.
You are not making a risk decision. Never fill gaps with assumptions.

Sources

  1. FCA, Money laundering and terrorist financing Regulator page
  2. Bank of England and FCA, "Artificial intelligence in UK financial services – 2024" Regulator survey
  3. Fenergo (product page) Vendor page
  4. ICO, Guidance on AI and data protection Regulator guidance

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