Industry

AI use cases in capital markets

Investment banks, brokers, exchanges and custodians: research, trading support, post trade operations and surveillance.

Use cases
16
Deployments
12
Organizations
9
Outcome disclosed
67%

16 Capital markets use cases

9 organizations in 6 countries run these use cases in public. 67% of those 12 deployments disclose a measurable outcome.

Wealth and asset managementCapital markets

AI analysis of earnings calls and other text for investment signals

AI analysis of earnings calls and company text reads earnings call transcripts, filings and other unstructured disclosures at scale to produce an investment signal for a portfolio manager or analyst. The underlying large language model, either fine tuned or prompted within a structured scoring framework, scores a company on a dimension such as business quality or exposure to a market theme, or forecasts how markets will react to what was said, so the signal is systematic and repeatable to weigh alongside traditional quantitative data.

Deployments
2 public, best grade B
Autonomy
Copilot
Capital marketsWealth and asset management

AI assistant for deal sourcing and M&A due diligence

AI deal sourcing and due diligence is an AI assistant that screens the market for acquisition or investment targets and speeds up due diligence for a deal team. It builds company profiles, reads data room documents, extracts key terms and risks, and drafts the investment or diligence memo, for the team to verify and decide.

Deployments
6 public, best grade B
Reported productivity gain
up to 80%
Datasite, vendor claim
Cross industryBanking

AI coding assistant for software developers

An AI coding assistant helps software developers by completing and generating code in their IDE and code review flow. It also explains unfamiliar modules, drafts unit tests and reviews pull requests for common defects, while generated code goes through the same review, testing and change controls as any other code.

Deployments
10 public, best grade B
Median productivity gain
22.5%
4 deployments, 1 "up to" value left out
BankingWealth and asset management

AI copilot for corporate client briefings and call reports

An AI copilot that helps relationship managers, mainly in corporate and commercial banking, prepare for client meetings and write up call reports afterwards. It builds a briefing pack from filings, news, internal notes, product holdings and upcoming maturities, then turns the banker's notes into a structured call report and CRM update. Unlike a meeting notetaker, it centres on credit and cross sell context, not just the conversation; wealth advisor tools that also prepare meetings overlap with it, and the banker reviews every output.

Deployments
3 public, best grade B
Autonomy
Copilot
BankingInsurance

AI copilot for model risk validation and monitoring

AI model risk validation is a copilot that supports independent review of a bank's models, used by a validation function, an external tester or a supervisor. It checks model documentation against the model risk standard, generates and scores challenger tests (for generative AI, often with an LLM as a judge calibrated against human experts), watches production models for drift, and drafts and consistency checks the validation report. An accountable validator owns every conclusion.

Deployments
3 public, best grade B
Autonomy
Copilot
BankingPayments and cards

AI for business onboarding (KYB) and beneficial ownership discovery

Business onboarding and UBO discovery is AI that builds the know your business (KYB) due diligence file for a new or reviewed corporate client before any account opens. It collects registry, incorporation and ownership documents, resolves the entity across sources, maps the ownership chain through holding companies, nominees and trusts to the ultimate beneficial owners, screens the entity and its owners, and presents a risk scored case for a compliance analyst to decide.

Deployments
5 public, best grade C
Reported automation rate
25%
BNY, organization claim
Cross industryBanking

AI for continuous controls testing and control self assessment

AI continuous controls testing checks every transaction or record against a control's rule instead of a periodic sample, giving continuous, full population assurance. It collects evidence from source systems, maps each artefact to the control it supports, flags exceptions for a human to judge, and prepares the risk and control self assessment from incident and loss data for the business to review.

Deployments
3 public, best grade B
Autonomy
Supervised agent
BankingPayments and cards

AI for ledger and payment reconciliation

AI for ledger and payment reconciliation matches financial records to each other and flags the exceptions for a human to review. It matches entries across nostro and vostro statements, card and scheme settlement files, the general ledger and suspense accounts, proposes the matches and clearing journals, and routes only the genuine breaks to an operator with a plain language explanation.

Deployments
7 public, best grade B
Reported automation rate
about 95%
Capital Area Food Bank, vendor claim
Cross industryBanking

AI for legacy code modernization

AI for legacy code modernization reads old code such as COBOL and explains what each program does. It also works on languages like PL/I or old Java, mapping each program's data flows and dependencies, drafting the equivalent modern code or specification, and generating the regression tests needed to prove the new system behaves like the old one.

Deployments
7 public, best grade B
Reported cycle time reduction
about 50%
Google, organization claim
Capital marketsBanking

AI for market abuse surveillance alert triage

AI market abuse surveillance triage helps surveillance analysts triage market abuse and conduct alerts such as spoofing, layering, wash trades, ramping and insider dealing. It gathers the trade, order, news and communications context, explains in plain language what triggered each alert, and drafts the investigation narrative for the analyst to disposition.

Deployments
5 public, best grade B
Reported handling time reduction
about 33%
Nasdaq, organization claim
Cross industryBanking

AI for policy drafting and policy gap analysis

AI policy drafting and gap analysis is an assistant that reads a new or changed obligation and checks which internal policies it affects, for compliance and legal teams. It finds every policy, standard and procedure the obligation touches, flags clauses that now conflict or are silent, and drafts the updated wording in house style as a redline for the policy owner to approve.

Deployments
7 public, best grade B
Autonomy
Copilot
BankingInsurance

AI for regulatory report assembly

Regulatory report assembly is AI that assembles periodic and data driven filings and returns, pulling data into the regulator's schema and validating it, before a named officer reviews and submits. Examples include prudential and statistical returns, threshold and transaction reports and disclosure packs. It also reconciles figures to source, explains movements against prior periods and drafts commentary; narratives for individual suspicious activity cases are a separate use case.

Deployments
5 public, best grade B
Autonomy
Copilot
Capital marketsBanking

AI for settlement fail prediction and post trade exception management

Settlement fail prediction is AI that scores each pending securities settlement instruction for its likelihood of failing and names the probable cause. The cause can be an unmatched instruction, wrong settlement details, or a lack of securities or cash. It then helps operations teams work the exceptions and counterparty queries before the intended settlement date, so fewer trades fail and fewer late settlement penalties are paid.

Deployments
4 public, best grade B
Autonomy
Copilot
BankingInsurance

AI for supervisory exam and information request responses

Supervisory exam response assembly is an AI assistant for a bank's regulatory affairs team that reads a supervisory information request or exam question and drafts a response. It retrieves the relevant evidence, policies and prior correspondence, so legal and compliance can approve the draft, and tracks every commitment and remediation action through to closure.

Deployments
3 public, best grade B
Autonomy
Copilot
Wealth and asset managementCapital markets

AI summaries of investment research and the house view

Investment research summarization is an AI assistant that condenses long research reports, overnight market moves and the house view into short, sourced briefings for advisors and analysts. It answers "what is our view on X" on demand and adapts approved research for different client segments and languages, with every figure traced to the original research.

Deployments
4 public, best grade B
Reported time saved per task
up to 120 minutes
Deutsche Bank, organization claim
Cross industryBanking

Generative AI copilot for internal audit

An internal audit copilot is AI that helps internal auditors plan and write up audits, from drafting planning materials to summarising evidence and drafting findings. It drafts planning memos and document request lists from prior audits, summarises large evidence sets, builds risk and control matrices from policies and process documents, and drafts findings and reports, with every statement traceable to evidence and a qualified auditor accountable for every conclusion.

Deployments
3 public, best grade C
Reported handling time reduction
55%
Banco Bradesco, vendor claim

Free PDF playbook

AI use cases in capital markets: the playbook

16 use cases with deployments, value, playbooks and governance, in one document for your team.

What the evidence says

Computed from the 12 public deployments behind these use cases at capital markets organizations. Numbers update with every checked record.

Organizations with a public deployment

  • BNY
  • CME Group
  • Clearstream
  • Deutsche Bank
  • Euroclear
  • Japan Exchange Group
  • Morgan Stanley
  • Nasdaq
  • XP Inc.

The same use cases in other industries

65 public deployments at 59 organizations outside capital markets run these use cases too. They are not counted in the numbers above; each use case page shows them.

Other industries