AI for business and credit bureau
multi-awarded top executive

AI. Credit.
Identity. Data.

At Scale.

I operate at the intersection of AI, credit bureau, alternative data, and financial services—helping banks, fintechs, and regulators deploy decision intelligence that accelerates growth, strengthens trust, and drives economic expansion at scale.

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Country Head and Board Director
ADVANCE.AI and ADVANCE.Credit Bureau PH
Known as the Modern Tech Boss of the Philippines

What I Do

AI is redefining who gets access to credit — and how fast.

I work with banks, fintechs, regulators, and industry stakeholders on how to modernize onboarding, fraud prevention, and credit decisioning using AI, credit bureau intelligence, and alternative data. My work involves bringing global best practices and competitive insights from more advanced markets, localizing them for the ecosystem, and aligning innovation with evolving regulatory, risk, and policy requirements.

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AI for Revenue & Growth

Customer acquisition, onboarding, approval rate uplift, and cross-sell intelligence and optimization driven by decision-grade AI.

AI for Risk & Fraud

eKYC, biometric verification, fraud and mule account detection, deepfake and account takeover prevention, OTP fraud mitigation, and behavioral risk analytics prevention — end to end.

AI for Credit & Data

Credit Bureau /regulated, alternative, behavioral, and transactional data and scoring, portfolio risk monitoring, underwriting precision and real time decisioning.

“I don't build AI models. I build AI systems that move financial outcomes.”
— Michelle Anne Chan

Impact: proven track record

From data to decisions — at scale.

Live deployments across banking, fintech, and government — delivering measurable results in approvals, fraud reduction, and financial inclusion.

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10+Years deploying AI in financial services

3+Sectors: banking, fintech and government

1stCross-border credit exchange in ASEAN

$500M+Leads multi-million dollar digital transformation initiatives

Latest insights

Ideas that move financial systems forward.

Credit & Alternative Data · Mar 2026

Why telco data is the most underused credit signal in Southeast Asia

How responsible activation of telco signals can unlock lending for thin-file segments.

AI & Decision Intelligence · Feb 2026

What “agentic AI” actually means for a Philippine bank

Autonomous decision workflows need guardrails, governance, and production architecture.

Digital Identity & Fraud · Feb 2026

Synthetic identity fraud is the silent epidemic nobody is measuring

Why biometrics and behavioural AI are changing detection at the identity layer.

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Media and Thought Leadership

Featured and Recognized by institutions shaping the Philippine financial systems.

Philippine Star

Leading AI and credit innovation across the Philippines

Feature article.

Senate of the Philippines

Insights on digital finance reposted officially

Official repost.

CMAP & AI Pilipinas

Keynote speaker on AI, digital trust, and the future of Financial Services

Speaking engagement.

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Work With Me

Shaping the future of credit, AI, digital trust, and financial innovation?
Let’s connect.

Advisory

Strategic guidance navigating banks, fintechs, and regulated industries for AI, credit and data strategy and modernization, digital trust and evolving policy landscapes.

Speaking Engagements

Keynotes and panels on AI, credit, alternative data, financial services, emerging trends and women in technology.

Strategic Partnerships

Collaborate on credit ecosystems, data intelligence, and AI deployment in ASEAN.

Executive and Board Roles

Open to select board seats and C-level opportunities in fintech, AI, and credit.

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Frequently Asked Questions

AI, credit infrastructure, and financial systems — explained.

What is AI credit scoring?

AI credit scoring uses machine learning, bureau data, behavioral data, transactional data, and alternative data to assess creditworthiness more dynamically than traditional scorecards.

How can alternative data improve lending?

Alternative data can help lenders evaluate thin-file or underbanked customers by using responsible signals such as telco behavior, e-wallet activity, digital identity signals, and repayment behavior.

What is credit infrastructure?

Credit infrastructure refers to the systems, data rails, bureau connections, decision engines, identity verification, compliance controls, and ecosystem partnerships that allow lenders to make safer and faster credit decisions.

How does AI reduce onboarding fraud?

AI can reduce onboarding fraud by combining biometric checks, eKYC, behavioral anomaly detection, device intelligence, mule account signals, and real-time risk monitoring before funds are released.

Why does ASEAN need cross-border credit data exchange?

Cross-border credit data exchange can help workers, consumers, and businesses carry trusted credit identity across markets, improving financial access while supporting responsible lending and regulatory oversight.