Insider Insights

AI in banking.
Relevant to the work you do.

Perspectives from Fiber and selected industry research on AI, servicing, collections and recovery operations.

20 articles & reportsSelected for banking and debt operations

AI & collections

AI in Debt Collection: How Smart Automation Is Reshaping Recovery Strategies

Fiber

Published

An introduction to AI-assisted collections and the workflow questions surrounding automation in recovery operations.

Read Fiber article

Servicing & collections

Harnessing AI in Debt Collections

2nd Order Solutions

Published

A collections consultancy's perspective on AI use cases and implementation. Useful input for selecting a bounded first workflow and defining what its pilot should demonstrate.

Read original at 2nd Order Solutions

Governance & controls

AI in financial services: good practice and areas for improvement

Financial Conduct Authority

Published

What meaningful human oversight, escalation and audit trails look like in practice. UK observations offer useful questions for customer-facing AI teams.

Read original at the Financial Conduct Authority

Bank deployments

Bank of America Enhances EricaAssist with Generative AI to Help Employees Resolve Client Needs Faster

Bank of America

Published

An employee-assisted servicing example. The bank's announcement helps frame where AI supplies account context and recommendations while staff remain responsible for decisions.

Read original at Bank of America

Integrations

How Modern Integrations Drive Higher Debt Recovery Rates

Fiber

Published

An overview of connections between collection systems, CRM, communications and payments, with considerations for integration projects.

Read Fiber article

Servicing & collections

The AI-powered bank: Rewiring for excellence in customer care

McKinsey & Company

Published

A workflow-first look at banking customer care. Consider how account information, system integration and resolution ownership affect the usefulness of an AI assistant.

Read original at McKinsey

Bank deployments

DBS’ Gen AI-enabled virtual assistants reach 10 million customers and go agentic

DBS

Published

DBS describes authenticated, customer-initiated banking actions. Consider the boundary between answering a question, executing an instruction and escalating to a person.

Read original at DBS

Servicing & collections

How banks can turn AI-assisted customer service into a business advantage

Deloitte Insights

Published

Customer-service research with practical implications for handoffs. Consider what context an AI assistant should preserve when a customer needs a human agent.

Read original at Deloitte Insights

Research perspective

What a Real-World Study Reveals About the Future of Debt Collection

Fiber

Published

A discussion of a debt-collection study, its approach and reported findings, and the questions it raises for collection operations.

Read Fiber article

Servicing & collections

How AI and machine learning are transforming debt collection

Intrum

Published

A collections provider's perspective on AI-assisted workflows. A useful prompt to distinguish engagement and operational efficiency from actual recovery outcomes.

Read original at Intrum

Servicing & collections

How AI-First Banks Are Rewriting the Rules of Retail Banking

Boston Consulting Group

Published

A banking operating-model perspective. Useful background for connecting collections pilots to account ownership, data flows, exception handling and performance measurement.

Read original at Boston Consulting Group

Servicing & collections

Managing the new wave of risks from AI agents in banking

Deloitte Insights

Published

A practical risk perspective for action-taking agents. Relevant questions include permitted actions, access to account records, approvals and the ability to stop or reverse work.

Read original at Deloitte Insights

Governance & controls

Treasury Releases Two New Resources to Guide AI Use in the Financial Sector

U.S. Department of the Treasury

Published

A shared AI vocabulary and financial-services risk framework. A starting point for specifying a pilot's scope, evaluation, escalation and accountable owners.

Read original at the U.S. Treasury

Digital engagement

The Importance of Digital Engagement and Self-Service Payment Portals: Finding the Right Fit

Fiber

Published

A discussion of digital engagement and self-service payment portals, with considerations for comparing different approaches.

Read Fiber article

Bank deployments

Launching an artificial intelligence powered virtual assistant for Commerce Center reporting

J.P. Morgan Payments

Published

An implementation account covering retrieval and answer evaluation. Useful questions for reporting assistants include freshness, completeness, permissions and unsupported requests.

Read original at J.P. Morgan Payments

Governance & controls

Revised Guidance on Model Risk Management (SR 26-2)

Federal Reserve Board, OCC and FDIC

Published

The revised US supervisory guidance expressly excludes generative and agentic AI from its scope. That distinction matters when defining a bank AI governance program.

Read original at the Federal Reserve

Regulatory context

CFPB's Guidance Withdrawal and How it Impacts Collection Agencies

Fiber

Published

An examination of the May 2025 guidance withdrawal and the questions it raised for collection agencies.

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Governance & controls

Third-Party Risk Management: Proposed Guidance and Request for Comment

Office of the Comptroller of the Currency

Published

A proposed approach to third-party oversight. Relevant to AI vendor evaluation, accountability and ongoing monitoring; this source is a proposal, not final guidance.

Read original at the OCC

Regulatory context

Navigating the Shifting Regulatory Landscape

Fiber

Published

Fiber's 2025 perspective on collections regulation, operational technology and the questions agencies face when evaluating software.

Read Fiber article

Governance & controls

AI’s impact on banking: use cases for credit scoring and fraud detection

ECB Banking Supervision

Published

Lessons from workshops with 13 selected banks. Helpful context for distinguishing predictive models from generative assistants and agents, without generalizing to the entire sector.

Read original at ECB Banking Supervision