Banking & Financial Services

Reimagine KYC, fraud, disputes, and payment ops.

Roles and workflows

Three roles in banking ops, where people and AI work together

Pattern A

Customer onboarding (KYC)

Onboarding analyst

Responsibilities to review

  • Run identity verification
  • Screen against sanctions and PEP lists
  • Draft the risk memo
  • Pre-fill the CIP file in core

Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.

AI cowork layer reads the application, runs identity verification, screens against sanctions and PEP lists, drafts the risk memo, pre-fills the CIP file in your core. Analyst reviews and approves the cases the AI flagged or wasn't sure about.

See the role detail →
Pattern B

Fraud triage

Fraud ops analyst

Responsibilities to review

  • Pull transaction and customer history
  • Check device signals and network patterns
  • Auto-clear clean alerts with reasoning logged
  • Build case file and recommended action

Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.

AI reads the transaction context, customer history, device signals, network patterns. Auto-clears the clean alerts with reasoning logged. Routes the suspicious ones to the analyst with a pre-built case file and recommended action.

See the role detail →
Pattern C

Dispute resolution

Dispute rep

Responsibilities to review

  • Classify chargeback eligibility
  • Process clean chargeback disputes
  • Pull merchant evidence for review
  • Surface relevant Reg E or Reg Z framing

Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.

AI auto-processes clean chargeback-eligible disputes (duplicate charges, declined deliveries, merchant errors). Flags the rest for human review with merchant evidence pre-pulled and the relevant Reg E or Reg Z framing surfaced.

See the role detail →
31,186
Real job postings in this industry
608
Companies in this industry
30,948
Tasks mapped to industry roles
366
Source examples classified for AI support

Prepare your workforce for the redesigned work.

Your workforce brings people and AI agents together. Workflows define how they share the work. Define what agents do, who reviews their output, and when they hand work back. Use Task Intelligence to understand the tasks within each step, then prepare your people to build and run the new version through simulations, hands-on projects and skill validation. Revisit affected responsibilities and readiness when the work changes.

Task evidence within banking workflows

These research inputs include vendor and source-reported software capabilities, product features and descriptions of work. The stored classifications in this selection contain 366 source examples for AI support and 576 for automation. They are not validated workflow outcomes or proof of agent performance. Task Intelligence helps examine the work in context; review each example against your responsibilities, controls and exceptions before using it in a redesign. The first 5 AI-support examples are below.

Augment
Prioritize accounts by collectability and impact
Source context: AI-Powered Collections Optimization for Credit Unions and Banks · AKUVO
Augment
Deploy multi-channel automated outreach (AI chat, text, email, letters with QR codes, push notifications, voice)
Source context: AI-Powered Collections Optimization for Credit Unions and Banks · AKUVO
Augment
Collector Assistant provides real-time AI support to human collectors
Source context: AI-Powered Collections Optimization for Credit Unions and Banks · AKUVO
Augment
Virtual Collector enables borrower self-service resolution
Source context: AI-Powered Collections Optimization for Credit Unions and Banks · AKUVO
Augment
Track all activity and outcomes for reporting
Source context: AI-Powered Collections Optimization for Credit Unions and Banks · AKUVO
576 source examples classified for automation›
Automate
AI analyzes borrower data to predict payment behavior
Source context: AI-Powered Collections Optimization for Credit Unions and Banks · AKUVO
Automate
Borrower selects and completes payment or arrangement
Source context: Virtual Collector Self-Service Portal · AKUVO
Automate
User submits client fact patterns and complex scenarios
Source context: AI-Powered Tax & Accounting Research · Accordance
Automate
Multiple AI agents deployed across the fact pattern
Source context: AI-Powered Tax & Accounting Research · Accordance
Automate
AI agent receives inquiry across any channel
Source context: AI-Powered Customer Service Automation for Fintech · Ada
Automate
Resolves inquiry autonomously (returns, account management, support)
Source context: AI-Powered Customer Service Automation for Fintech · Ada
Automate
AI agent handles routine banking queries (balance, statements, transfers)
Source context: Banking and Payments Customer Support · Ada
Automate
Authenticates user via integrated identity verification
Source context: Banking and Payments Customer Support · Ada
Automate
Resolves or escalates dispute cases with documentation
Source context: Banking and Payments Customer Support · Ada
Automate
Logs all interactions with compliance-grade audit trail
Source context: Banking and Payments Customer Support · Ada
Automate
Unified banking account (up to 3% APY, FDIC coverage up to $3M)
Source context: AI-Powered Financial Operating System for SMBs · Affiniti
Automate
AI expense tracking with automatic receipt capture and categorization
Source context: AI-Powered Financial Operating System for SMBs · Affiniti
Automate
AI CFO capabilities for real-time financial visibility
Source context: AI-Powered Financial Operating System for SMBs · Affiniti
Automate
Bill tracking and payment scheduling
Source context: AI-Powered Financial Operating System for SMBs · Affiniti
Automate
Corporate credit card with up to 2.1% unlimited cash back
Source context: AI-Powered Financial Operating System for SMBs · Affiniti
Automate
Consumer selects Affirm at merchant checkout
Source context: Buy Now Pay Later (BNPL) Credit Decisioning · Affirm
Automate
Real-time expense tracking across all corporate spending
Source context: AI-Powered Corporate Expense Management · Alaan
Automate
AI-powered categorization and validation of transactions
Source context: AI-Powered Corporate Expense Management · Alaan
Automate
Automated receipt review and processing via machine learning
Source context: AI-Powered Corporate Expense Management · Alaan
Automate
Automated export to connected accounting systems
Source context: AI-Powered Corporate Expense Management · Alaan
Automate
Continuous ingestion of 100% of collected data
Source context: AI Anomaly Detection for Revenue Protection · Anodot
Automate
AI analyzes data streams for anomalies in real-time
Source context: AI Anomaly Detection for Revenue Protection · Anodot
Automate
Related anomalies automatically grouped
Source context: AI Anomaly Detection for Revenue Protection · Anodot
Automate
Aggregate cloud costs across providers
Source context: Cloud Cost Management & Optimization · Anodot
Automate
AI forecasting with 98.5% accuracy for budget predictions
Source context: Cloud Cost Management & Optimization · Anodot
Automate
CostGPT provides natural language cost insights
Source context: Cloud Cost Management & Optimization · Anodot
Automate
Anomaly detection flags unexpected cost spikes
Source context: Cloud Cost Management & Optimization · Anodot
Automate
AI agents capture invoice data with claimed 100% accuracy
Source context: Autonomous Accounts Payable · AppZen
Automate
Complex PO matching across global operations
Source context: Autonomous Accounts Payable · AppZen
Automate
GL coding using AI reasoning
Source context: Autonomous Accounts Payable · AppZen

How we work with banks

Co-sponsored model. Functional head (Head of Ops, COO, Chief Risk Officer, CTO) plus your transformation office in the room together. The 6 to 8 week AI Bootcamp prepares people for agreed workflow responsibilities through simulations and assessments. Then the Transformation Engagement scales it across the operating model, same core, same regulatory envelope.

AI Bootcamp
6 to 8 weeks
One functional area, workflow practice and assessment
Transformation Engagement
Custom
Operating-model redesign across onboarding, fraud, disputes, payments ops
Implementation
Same core
Same people, same core banking stack, AI cowork layer on top

Want a bank-specific walkthrough?

20 minutes. We pull your top three task patterns from the dataset and show you the redesign live, with your role mix and your regulatory frame.

Book a time