Artificial intelligence in financial services is entering a new phase. The conversation has moved beyond productivity gains and chatbot pilots toward a more fundamental question:

How can organisations safely govern AI systems that act autonomously?

In Singapore, regulators are already addressing this challenge.

The recent release of the Model AI Governance Framework for Agentic AI by the Infocomm Media Development Authority (IMDA) announced at the World Economic Forum in January 2026 and the world’s first governance framework designed specifically for agentic AI and the AI Risk Management Toolkit by the Monetary Authority of Singapore (MAS), developed collaboratively with 24 leading financial institutions under Project MindForge, signals a clear shift in regulatory expectations.

Organisations are expected to move beyond managing AI models to governing AI agents capable of reasoning, making decisions, and executing actions across business systems. For CIOs, CFOs, and finance leaders, this represents both an opportunity and an urgent governance challenge.

Why Agentic AI Changes the Governance Equation

Traditional AI systems analyse information and generate recommendations. Agentic AI goes further.

AI agents can access enterprise data, trigger workflows, interact with applications, and complete multi-step tasks with limited human intervention. This creates significant opportunities for finance teams, including accelerating accounts payable and receivable processes, automating reconciliation and exception handling, streamlining vendor onboarding and compliance checks, supporting financial planning and analysis, and assisting with regulatory reporting and audit preparation.

However, greater autonomy introduces new risks. Finance leaders must answer critical questions:

• Which systems can an AI agent access?
• What actions can it perform autonomously?
• How are decisions monitored and audited?
• When should humans remain in the approval loop?
• How can organisations ensure compliance with internal controls and regulatory expectations?

Agentic AI shifts risk from “wrong answers” to “wrong actions.” These are precisely the challenges Singapore’s latest frameworks aim to address.

What Singapore’s AI Frameworks Mean for Financial Institutions

IMDA’s Agentic AI Framework: Four Dimensions of Governance

The MGF organises its requirements across four dimensions that every deploying organisation must address.

Assess and bound risks upfront. Before an AI agent is deployed, organisations must conduct use-case-specific risk assessments, evaluating autonomy level, access to sensitive data, task complexity, and the reversibility of actions the agent can take. In finance, where agents may touch payment systems, reconciliation workflows, or vendor databases, this is non-negotiable. The framework recommends limiting early deployment by user group, tool access, or system exposure, then expanding gradually.

Make humans meaningfully accountable. This is the dimension most organisations misread. IMDA doesn’t simply ask you to put a human in the loop, it asks you to prove the human is genuinely reviewing, not rubber-stamping. The framework explicitly flags automation bias: a reviewer approving hundreds of AI-generated assessments in seconds is not exercising meaningful oversight. Clear accountability allocation, escalation criteria, defined override rights, and measurable human override rates are what actual compliance looks like.

Implement technical controls across the full lifecycle. From development through pre-deployment testing to ongoing monitoring, the framework requires structural controls, rule-based guardrails, least-privilege access, and audit trails demonstrating the system is performing as intended. This covers the full agent lifecycle, not just the point of deployment.

Enable end-user responsibility. Finance teams using AI agents must understand what those agents can and cannot do, who to escalate to when something goes wrong, and how to preserve the human skills the agent is augmenting. Training and transparency are governance requirements, not nice-to-haves.

Critically, the MGF makes clear that organisations remain accountable for the actions of AI agents regardless of the level of autonomy involved. Delegating execution to an agent does not delegate accountability.

MAS Guidelines and MindForge: The Financial Institution Lens

MAS goes further for regulated entities. Its proposed AI Risk Management Guidelines, built on the FEAT principles (Fairness, Ethics, Accountability, Transparency) and informed by the MindForge Toolkit developed with Standard Chartered, Income Insurance, Julius Baer, and others, establish expectations that extend to every AI tool a financial institution uses, including third-party systems.

The guidelines apply to all MAS-regulated financial institutions and set expectations across governance structure, AI risk management systems, lifecycle controls, and operational capability. Board-level AI risk oversight is an explicit requirement, not a technical-team function.

Together, these frameworks reinforce one message: successful AI adoption requires governance by design, not governance as an afterthought.

The Governance Challenge Facing Finance Teams

Finance functions operate in highly regulated environments with established controls, approval workflows, and audit requirements.

Introducing AI agents without appropriate guardrails can create concerns around unauthorised financial transactions, data privacy and confidentiality risks, inaccurate or non-compliant outputs, limited visibility into AI-driven decisions, and difficulties demonstrating accountability during audits.

As organisations move from experimentation to production deployment, these concerns become board-level issues.

The challenge is not whether finance teams should adopt agentic AI. The challenge is how to deploy it responsibly at scale, with the audit trail, access controls, and human oversight mechanisms that regulators now expect to see.

In our work advising financial institutions across Asia on AI governance readiness, the most common gap we encounter is not ambition — it is architecture. Organisations have policies on paper but lack the technical infrastructure to enforce them at the point of execution. The governance layer has to be built into how AI agents operate, not added as a compliance layer afterward.

Operationalising AI Governance with Workato

This is where AI orchestration becomes the clear differentiator.

Rather than allowing AI agents to interact directly with enterprise systems, organisations need a governed execution layer that embeds security, oversight, and policy enforcement into every workflow. Workato, the global leader in agentic orchestration, provides this governance layer through its Enterprise Model Context Protocol (MCP) capabilities and AI agent framework, enabling organisations to operationalise the governance principles outlined by IMDA and MAS.

1. Controlled Access to Enterprise Systems

AI agents should only access the data and applications necessary to complete a specific task. Workato’s Enterprise MCP capabilities provide secure, governed access to enterprise applications, APIs, and business data while enforcing predefined permissions and policies. Scoped tokens, environment isolation, and identity-aware routing ensure the right agents reach the right systems with the right level of access, and no more.

This directly supports IMDA’s least-privilege requirement and MAS’s expectation of defined access controls across the AI lifecycle.

2. Human-in-the-Loop Controls

Not every decision should be fully autonomous. Finance teams can configure approval workflows that require human intervention for high-risk activities, payment releases, policy exceptions, vendor onboarding approvals. For high-stakes decisions, approvers can be required to provide written justification before proceeding, creating the documented oversight trail that IMDA’s framework explicitly calls for.

Override rates can be tracked over time, providing evidence that human review is meaningful rather than nominal.

3. End-to-End Auditability

Regulators increasingly expect organisations to demonstrate how AI systems arrive at decisions and what actions they take. Workato captures workflow execution details, decision points, approvals, and system interactions to create comprehensive audit trails, giving finance leaders the evidence base needed for internal controls, regulatory reporting, and audit preparation.

Workato’s platform architecture includes full traceability by default across MCP-deployed workflows. This is a meaningful differentiator for organisations needing to evidence compliance.

4. Governance by Design, Not Afterthought

With Workato, organisations can define the rules that govern approved data sources, permitted actions, escalation thresholds, approval requirements, and exception handling procedures before agents are deployed into production workflows.

This ensures AI agents operate within established business policies rather than creating parallel processes outside existing governance frameworks. IT teams manage and govern every agent from a single console, with consistent controls applied across agents regardless of which AI provider powers them.

5. Continuous Monitoring and Risk Management

Agentic AI requires ongoing oversight, not a one-time deployment review. Workato provides visibility into workflow performance, agent activities, and exceptions, enabling organisations to identify anomalies, trigger risk-based interventions, and continuously improve governance controls aligned with MAS’s emphasis on lifecycle risk management and IMDA’s requirement for post-deployment monitoring.

A Practical Example: AI-Powered Accounts Payable

Consider an AI agent supporting invoice processing.

The agent can retrieve invoices from multiple channels, validate supplier information, match invoices against purchase orders, identify exceptions, route approvals to relevant stakeholders, and trigger payment workflows.

However, governance controls ensure the agent accesses only authorised financial data, escalates exceptions for human review, complies with segregation-of-duty policies, maintains a complete audit trail, and operates within predefined spending thresholds.

This is the difference between automation and governed automation and it is precisely what both IMDA and MAS are asking organisations to demonstrate.

The Next Competitive Advantage: Trusted AI

Singapore’s regulatory direction is clear. The future of AI adoption will not be defined by which organisations deploy agents first, but by which organisations deploy them responsibly.

While IMDA’s framework is voluntary today, it is already functioning as a procurement and audit baseline. Organisations are expected to defend their governance posture in risk reviews, vendor assessments, and board discussions now, not when formal regulation arrives.

For CIOs and finance leaders, the priority should not simply be introducing AI into existing processes. It should be establishing the governance foundations that enable AI to scale safely, securely, and compliantly.

Organisations that embed governance into their AI architecture today will be better positioned to unlock the full value of agentic AI tomorrow.

The question is no longer whether your finance function will adopt AI agents. The question is whether your governance model is ready for them — and whether it is built to last.

In the fast-evolving world of enterprise integration, migrating from platforms like TIBCO and MuleSoft to modern cloud iPaaS solutions like Workato can feel daunting. Legacy spaghetti code, custom schemas, and undocumented business logic slow down innovation and drive up costs. That’s where Teleport AI comes in—a next-generation, AI-powered migration toolkit that redefines how organizations modernize their integration landscape.

Modernizing Integrations with Teleport AI

Teleport AI isn’t just another migration script or ETL tool. It’s a comprehensive migration platform designed to automate, accelerate, and de-risk your move to Workato. By leveraging cutting-edge AI, deep integration expertise, and an intuitive dashboard, Teleport AI empowers customers to:

• AI engine to extract and analyze integration code and create the process specifications and required prompts for the target copilot

• Visualize and transform workflows with unprecedented clarity

• Harness Workato Copilot for recipe generation

• Seamlessly create modern, maintainable automation on Workato

• Lower migration and maintenance costs by automating manual tasks.

• Achieve faster migration, validation, and go-live with end-to-end automation. 

• Save up to 70% of your migration time using Teleport and iSteer Migration experts skilled in multiple modern and legacy integration/iPaaS platforms

• Move from planning to production-ready integrations in a fraction of a time. 

Teleport AI Migration Lifecycle

1. Extraction: Turning Legacy Code into Actionable Assets

The first step in any migration is understanding what you have. Teleport AI connects to your source system—whether it’s TIBCO BW, MuleSoft, Boomi, or even custom Java-based ESBs—and automatically extracts all integration artifacts:

• Process flows and sub-processes
  • Mappings, schemas (XSD, JSON, CSV), and sample data
  • Scripts, services, certificates, dependencies

Teleport AI goes beyond simply copying files: it parses and reconstructs your integration logic, capturing business context, dependencies, and configuration details.

Why This Matters:

Legacy documentation is almost always outdated. Teleport AI removes guesswork by giving you a complete, up-to-date snapshot of your integration landscape, no more manual inventory, no more risk of missing a critical dependency.

2. AI-Powered Code Analysis: Make Sense of Complexity

Once your integration assets are extracted, Teleport AI’s AI-powered analysis engine takes over. It scans your legacy codebase to:

• Identify reusable logic and common patterns
  • Highlight schema transformations and data mappings
  • Detect deprecated services and obsolete endpoints
  • Map dependencies between processes and external systems

All of this is presented in an interactive dashboard, where architects and business analysts can deep-dive into any process, inspect step-by-step logic, and annotate or flag items for review.

How You Benefit:

No more black boxes. Teleport AI shines a light on even the most convoluted legacy flows, making it easy for teams to agree on what stays, what goes, and how to modernize.

3. Dashboard-Driven Transformation: From Analysis to Modernization

Teleport AI is built for collaboration and action—not just analysis. In its powerful dashboard, you can:

• Transform or refactor legacy steps into modern patterns
  • Group steps into reusable components (perfect for Workato functions)
  • Tag business-critical logic, document exceptions, and enrich with context
  • Simulate new flow designs before generating any code

You get instant visual feedback on how your migrated flows will behave—eliminating surprises later in the project.

4. Workato Copilot Integration: AI-Driven Recipe Generation

Here’s where Teleport AI takes migration into the future: With direct integration to Workato Copilot, your extracted and transformed flows are translated into Workato prompts and recipes. Teleport AI automatically:

• Generates Workato Copilot-ready prompts using step-by-step logic, data mappings, and schema definitions
  • Handles Workato Copilot prompt size limits by chunking and prioritizing the most critical process details
  • Sketches initial recipes using Workato’s AI, drastically reducing manual coding

Why Organizations Choose Teleport AI for Integration Migration

• Speed: Cut migration time from months to weeks—save up to 70% in project timelines.
  • Accuracy: No missed mappings or hidden logic—everything is captured, transformed, and validated.
  • Transparency: Dashboards, visualizations, and full audit trails.
  • Future-proof: Modern, reusable Workato recipes ready for ongoing business innovation.

Ready to Modernize? Let Teleport AI Accelerate Your Migration

Integration modernization is no longer a leap of faith. With Teleport AI, you get clarity, control, and confidence at every stage of migration—from legacy chaos to Workato-powered agility. Don’t let your business get stuck in the past. Unlock the future of integration with Teleport AI.

Contact us today to schedule a demo or start your migration journey!

At iSteer.com, we understand that in today’s digital-first economy, card-not-present (CNP) fraud continues to challenge financial institutions and merchants worldwide. As online transactions surge, so does the sophistication of fraudulent activities, making traditional security measures insufficient. That’s why we’ve developed comprehensive EMV 3D Secure solutions that combine deep technical expertise with AI-powered intelligence to deliver unprecedented results for our clients.

iSteer provides a highly configurable, scalable authentication platform that can be setup to cover card-not-present transactions (ACS/3DS) and all other authentication scenarios such as login, profile update, beneficiary addition, wallet load, card link to wallet, fund transfers etc.

The ACS (3DS) platform is fully certified by EMV and all major global card networks and is provided as a hosted (SaaS) model from the PCI DSS & PCI 3DS certified cloud setup. The enterprise multi-factor authentication platform can be set up on the public cloud or on customer’s private cloud.

The system is designed to provide multiple authentication options that can be fully configured as per the business requirements. These include OTP (SMS, Email, IVR), knowledge-based questions, Out of band (in app) authentication such as biometrics, swipe, soft token, and silent factors, including device fingerprint and behavioral biometrics.

The payment security platform provided by iSteer is backed by a powerful, enterprise fraud risk monitoring system that is designed to evaluate risk real time across any channel/use cases whether financial or non-financial. The system has a highly configurable rule engine complemented by an AI-ML module to facilitate a robust risk analysis. Further, the system is equipped with a case management module to effectively track anomalies/case alerts and gather feedback to fine-tune the rules & models.

iSteer’s Comprehensive 3D Secure Solution Architecture

At iSteer, we believe that effective fraud prevention starts with understanding how EMV 3D Secure works at every level. Our solution encompasses the complete authentication ecosystem, from initial transaction processing to final authorization, ensuring seamless integration with your existing infrastructure.

Dual Authentication Experience Design

Our platform intelligently manages two distinct authentication pathways:

Frictionless Authentication for Low-Risk Transactions
When our AI determines a transaction is low-risk, authentication happens invisibly in the background. Customers see only a brief security confirmation before their purchase completes. Our system processes data points in milliseconds to make these accurate risk assessments.

Risk Based Adaptive Authentication for High Risk Transactions
For transactions requiring additional verification, our platform presents contextual challenges—SMS codes, biometric authentication, or security questions—tailored to the specific risk profile. This ensures security without abandoning legitimate customers.

iSteer’s ACS 3DS Transaction Flow

Our enterprise-grade architecture enables seamless integration with your existing systems while supporting future scalability. The diagram above illustrates how iSteer’s ESB architecture connects multiple authentication channels and methods.

Advanced Risk Based Authentication:

Key Integration Capabilities:

• Multi-Channel Support: Unified authentication across mobile apps, web portals, API integrations, and partner channels

  • Centralized Authentication Hub: Our ESB orchestrates authentication requests between your Fraud Risk Management (FRM) systems, Business Rules Engine (BRE), and Multi-Factor Authentication (MFA) infrastructure

  • Comprehensive Authentication Methods: Seamless integration of OTP, Out-of-Band authentication, Silent Auth, SSO, Captcha, Knowledge-Based Authentication, and custom API workflows

iSteer’s AI-Powered Intelligence Platform

The platform is backed by a powerful, enterprise fraud risk monitoring system that is designed to evaluate risk real time across any channel use cases whether financial or non-financial.

The system has a highly configurable rule engine complemented by an AI-ML module to facilitate a robust risk analysis.

Also, the system is equipped with a case management module to effectively track anomalies/case alerts and gather feedback to fine-tune the rules & models.

iSteer’s Management and Control Platform

Intelligent Policy Manager

Our Policy Manager empowers your team to create sophisticated rules based on real-time data and customizable policies that align with your organization’s risk tolerance and business objectives. The system ingests transactional data from global networks and orchestrated risk signals to render accurate, consistent decisions.

Advanced Case Manager

Track, research, and manage potential fraud events with detailed transaction analysis through our intuitive Case Manager. When suspected fraudulent transactions occur, our system automatically generates cases for investigation, enabling your fraud analysts to identify attack vectors and fraud patterns for continuous improvement.

Flexible Configuration Manager

Optimize challenge flows and user interfaces on your timeline with our Configuration Manager. Maintain consistent branding across up to six languages while accommodating diverse payment methods. This flexibility allows complete customization of cardholder challenge flows without requiring additional professional services.

iSteer’s Advanced Feature Set

Adaptive Step-Up Authentication

Our platform provides personalized user interfaces with flexible authentication options including One-Time Password (OTP), token workflows, and Out-of-Band (OOB) authentication. High-risk transactions automatically trigger the most appropriate challenge method while maintaining optimal user experience.

Real-Time Analytics and Reporting

Track your ROI with comprehensive dashboards featuring key metrics including fraud detection rates, intervention rates, transaction volumes, and values. Our analytics platform helps you analyze site traffic, transactions, business trends, and performance data for continuous optimization.

Why iSteer’s EMV 3DS 2.0 Implementation Leads the Market

Our enhanced 3D Secure protocol implementation delivers significant advantages over legacy systems:
• Streamlined Processing: Reduced steps for both frictionless and challenge flows
• Enhanced Intelligence: More comprehensive risk assessment data integration
• Mobile-First Design: Native support for mobile and in-app transactions
• Superior User Experience: Dramatically reduced unnecessary challenges
• High Performance: Faster processing and response times
• Advanced Authentication: Full support for biometrics and behavioral analysis

iSteer’s Proven Implementation Methodology

Our successful 3D Secure implementations follow a proven methodology:

1. Comprehensive Risk Assessment
We begin by thoroughly understanding your current fraud landscape, transaction patterns, and business objectives.

2. Seamless Technology Integration
Our team ensures flawless integration with your existing systems, minimizing disruption while maximizing capability.

3. Intelligent Policy Configuration
We work with your team to set appropriate risk thresholds and challenge rates based on your specific business requirements.

4. Continuous Performance Monitoring
Ongoing optimization based on real transaction data ensures your system continues to improve over time.

5. Customer Experience Optimization
We rigorously test and refine authentication flows to ensure smooth customer experiences across all scenarios.

The Future of Authentication (Fraud Prevention) with iSteer

As digital commerce continues to evolve, iSteer remains at the forefront of fraud prevention innovation. Our platform incorporates emerging trends, including

• Real-time Behavioral Analysis: Advanced pattern recognition for immediate threat detection
• Enhanced Device Intelligence: Comprehensive device profiling and risk assessment
• Contextual Authentication: Smart authentication that adapts to user context and behavior
• Predictive Fraud Modeling: AI-powered prediction of emerging fraud patterns
• Seamless Omnichannel Experiences: Consistent security across all customer touchpoints

Ready to Transform Your Fraud Prevention Strategy?

The results speak for themselves: financial institutions partnering with iSteer consistently achieve 8-figure profit improvements while enhancing customer experience. Our comprehensive 3D Secure solutions combine sophisticated risk assessment, flexible authentication methods, and seamless integration capabilities to create a powerful platform that drives both security and profitability.

Contact iSteer Today sales@isteer.com

In today’s fast-paced business world, every moment and every resource matters. That’s why we created BenchBridge AI—a smart assistant designed to help your team spend less time on the bench and more time making an impact.

How BenchBridge AI Makes Life Easier?

If you’ve ever worried about talented staff sitting idle, you’re not alone. Many organizations struggle to quickly match people to the right opportunities, leading to wasted time and unnecessary costs. BenchBridge AI changes that by working behind the scenes to connect your team with the projects and clients that need them most.

Here’s how BenchBridge AI helps you save time and money, while keeping your team engaged and motivated:

• No More Manual Searching: BenchBridge AI automatically scans client websites and job platforms for new openings, so your team doesn’t have to spend hours looking for work.

  • Faster Matches: The system instantly identifies which of your available staff are the best fit for new roles, helping you deploy talent quickly and efficiently.

  • Lower Costs: By reducing bench time, you avoid the costs of unutilized resources and keep your business running lean.

  • Happier Teams: When people are matched to meaningful work faster, morale goes up and turnover goes down.

What Else Can BenchBridge AI Do?

BenchBridge AI is more than just a bench management tool. It offers a range of smart services to help your business grow:

• Custom Filters: Sort opportunities by technology, experience, or business unit to find the perfect match for every team member.

  • Real-Time Alerts: Get instant notifications about new roles and client needs, so you can act before the competition.

  • Personalized Recommendations: BenchBridge AI learns from your team’s history and preferences, suggesting the best opportunities for each person.

  • Easy Integration: Connect BenchBridge AI with your dashboards, email, or other systems for seamless updates.

Looking Ahead

We’re always working to make BenchBridge AI even smarter. Soon, you’ll see features like AI-powered role matching, quick summaries of job descriptions, and integration with platforms like LinkedIn and applicant tracking systems.

The Bottom Line

BenchBridge AI is here to help you get the most out of your team. By reducing bench time, automating opportunity detection, and making smarter matches, it empowers your people to do their best work—while saving your business time and money.

Ready to see how BenchBridge AI can transform your operations? Let’s connect and build a more agile, engaged workforce together.