Blogs

Agentic AI’s Transformative Role
Artificial Intelligence is evolving across three powerful dimensions: Predictive AI helps organizations make traceable, data-driven decisions by analyzing patterns and forecasting outcomes. Generative AI unlocks value from unstructured data—such as text, images, and audio—by creating new content and insights. Agentic AI goes a step further, enabling autonomous execution of tasks by AI agents that can act, learn, and collaborate independently, transforming workflows and decision-making across industries.
Agentic AI is a game-changer for SME finance, automating underwriting, portfolio monitoring, and workflow processes (agentic AI agents can handle outbound calls and collections for instance). It reduces costs, increases efficiency, and enables 24/7 processing, which is especially valuable for SMEs operating outside traditional business hours.
AI platforms can handle application inconsistencies, automate document verification, and interact with applicants, making lending faster, more accurate, and scalable, particularly for underserved SMEs. Agentic AI will augment, not replace, human underwriters in the near term.

Private Sector Innovations & Partnerships
Seamless integration of financial services where agentic AI handles routine tasks and offers proactive credit requires building a strong SME support environment. This ecosystem is emerging, bringing together financial institutions, BigTech, multilateral agencies, local governments, and academia to increase SME access to digital tools, scale AI solutions, share data responsibly, and drive continuous innovation.

In Saudi Arabia, SME financing increased by 600% in seven years, driven by Vision 2030. Success was built on four pillars:

• Speed of action – reducing decision time from 49 days to near-instant.
• Tailored decision models – using AI for application scoring, behavior analysis, fraud detection, and attrition prediction.
• Early warning tools – enabling proactive risk management.
• Cash flow-based lending – avoiding overlending and fostering long-term relationships.
   

Focus on Biz2X: AI-Powered SME Lending Ecosystem
Biz2X is an end-to-end intelligent lending platform designed to close the global SME credit gap using proprietary data and advanced AI. The Biz2X AI Innovation Suite brings together banks, credit unions, fintechs, private credit funds, government programs, BigTech (Microsoft Azure, Google Cloud, AWS, Oracle), and academia (Columbia University) to streamline business lending.
Key features include:

• Agentic AI tools: Underwriting co-pilot, borrower voice/sales assistant, ARIA (Application Review & Insight Assistant).
• AI Content Automation: Credit Approval Memo generation, financial document parsing, bank statement analysis.
• Embedded AI Lending: Instant eligibility and decisioning within partner platforms. AI Assistants: Virtual CFOs, automated credit decisions, pricing automation.
• AI Risk Management: Continuous monitoring for fraud, attrition, and portfolio risk.

Agentic AI Enablers and Challenges

Robust Infrastructure
Billions still lack internet access. Promoting universal broadband is essential. Cloud computing was the first wave of SME empowerment; AI is the next leveling the playing field and enabling growth. Google Cloud and partners (Mastercard, Visa, PayPal) help SMEs access enterprise-grade capabilities. The World Bank supports investments in sustainable data centers and scalable cloud solutions, including 'Small AI'—lightweight models for edge devices and offline use in emerging markets.

Inclusive and Quality Data
Inclusion requires intentional design and alternate data, especially for women-owned businesses and underserved groups. AI models must be monitored for bias and designed for equitable access and aligning risk appetite with sector-specific needs (e.g., tourism, manufacturing, IT). Alternate data sources (e.g., transaction data from payment networks) can improve inclusion.

Digital Skills
The gap between access to capital and digital tools remains a major challenge. Mastercard’s Center for Inclusive Growth focuses on upskilling SMEs. Training for both SMEs and financial institutions is essential to build digital and AI skills.

Regulatory Environment
Policy must evolve to support innovation, interoperability, and data privacy. Unlocking payment and transaction data is essential for effective credit assessment but must be balanced with privacy and regulatory requirements. There is a need for transparency in AI-driven decisions, especially as regulatory scrutiny increases. Credit decisions must be justifiable, blending human oversight with machine efficiency.

Potential future enablers

• Launch AI Readiness Programs: Training for financial institutions and SMEs.
• Strengthen Partnerships: Collaboration among payment processors, banks, fintechs, and regulators.
• Promote Responsible AI: Best practices for bias monitoring, data privacy, and algorithmic transparency.
• Support Inclusion Initiatives: Focus on women-owned businesses and excluded groups.
• Fund Research: Advance fundamental AI research and open platforms for broader contribution.

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Resources

Agentic AI’s Disruption of Retail and SME Banking
McKinsey (Aug 2025)
Discusses how agentic AI agents will reshape banking, especially for SMEs, by making sophisticated money decisions, optimizing outcomes, and challenging traditional business models.
Read the article [mckinsey.com]

Unveiling Agentic AI: The Future of Digital Lending
Biz2X & AWS (Oct 2025)
Highlights the launch of Agentic AI for SME lending, focusing on multilingual capabilities, faster loan approvals, and bridging the credit gap in emerging markets.
Read the article

Devising a Strategic Approach to Artificial Intelligence: A Handbook for Policymakers
World Bank Group (April 2025)
Aims to assist policy makers in developing strategic national-level approaches to artificial intelligence (AI), supporting the responsible development and deployment of AI for public good. It offers a hands-on, structured, yet adaptable framework that can help policy makers tailor strategic AI approaches adapted to their unique contexts.
Read the report

How Agentic AI Will Transform Financial Services
World Economic Forum (Dec 2024)
Explores how agentic AI goes beyond generative AI by enabling autonomous decision-making, collaboration, and learning. Highlights efficiency, inclusion, and the need for robust oversight and ethical frameworks as agentic AI advances financial access, especially in underserved communities.
Read the report

AI Projects in Financial Supervisory Authorities
IMF (October 2025)
Discusses the imperative for financial supervisory authorities to enhance their toolkit through the adoption of Artificial Intelligence in response to the growing digitalization of financial services.
Read the report

Agentic AI in Banking
Deloitte Insights (Aug 2025)
A comprehensive analysis of how banks can supercharge intelligent automation with agentic AI. Discusses autonomous AI agents, regulatory challenges, risks, and the need for a fundamental redesign of banking processes and workflows.
Read the article

Agentic AI: Finance & the ‘Do It For Me’ Economy
Citi GPS (Jan 2025)
Examines agentic AI’s potential to transform finance by enabling autonomous decision-making for users, with use cases in compliance, fraud prevention, onboarding, KYC, wealth, credit, and treasury workflows.
Read the article

The Next Wave Arrives: Agentic AI in Financial Services
FinRegLab (2025)
Market scan report on dynamic agentic AI systems in financial services and e-commerce. Covers adoption trends, risks, regulatory challenges, and critical questions for stakeholders to realize benefits while guarding against errors and abuse.
Read the report

Agentic AI in Financial Services: Navigating Innovation, Challenges and Ethical Adoption
IBM (2025)
Outlines the opportunities, risks, and responsible implementation of agentic AI in financial services, including autonomy, adaptability, and coordination, as well as regulatory and governance challenges.
Read the article

Agentic AI in Banking: The Future and the Challenges
Forbes Technology Council (May 2025)
Explores agentic AI’s transformative capabilities for financial institutions, including hyper-personalization, goal-oriented reasoning, and challenges for full adoption.
Read the article