
We were pleased to be at the 31st Edition BFSI IT Summit in Bangkok as Platinum Partners. It was a productive event, and a great opportunity to be part-storage of the ongoing conversation about Thailand’s financial future.
Our CEO, Baasandorj Davaasuren, joined other industry leaders on stage to discuss the clear direction the Thai BFSI sector is taking. The national Thailand 4.0 vision has set the stage, and a $5.5B digital banking market is a significant opportunity for those ready to adapt.
Here's a revised version, pulling back the dramatic tone to sound more professional and grounded.
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The summit’s agenda made the priorities obvious:
- AI-driven automation
- Strengthened cybersecurity
- Navigating accelerating regulatory complexity
But one theme stood out as the critical lynchpin connecting them all: Evolving Credit Risk Models
The Real Challenge: From “Inclusion” to Profitable Inclusion
"Financial inclusion" has been a goal in Thailand for years. But true inclusion isn't just about digital access, it's about access to credit, especially for the small and medium-sized businesses (MSMEs) that are so crucial to the ASEAN economy.
This has always been a tough segment for traditional banks to serve. Legacy risk models often depend on slow, manual, collateral-based assessments that don't fit the profile of new-to-bank or small entrepreneurs.
A key takeaway from the panel discussion, "Credit Where Credit’s Due," was the general agreement on this point: to serve this market well, banks need to move from traditional assessment to data-driven, real-time decisioning, using AI and machine learning.
This is precisely where our role shifts from being a sponsor to a solution provider.
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Answering the Call: A Complete, End-to-End Lending Architecture
The “AI-volution of Finance” isn’t about chatbots.
The real transformation — the one that delivers both profit and inclusion
happens deep in the lending engine.
As Platinum Partners, we didn’t just discuss this shift.
We demonstrated it.
Step 1: Automate the Bottleneck with Mindox
AI-enabled document processing is the first non-negotiable step.
MSME lending collapses under manual document handling. Mindox cuts processing time from days to as fast as 50 seconds, removes up to 80% of manual errors, and reduces labor costs by 70%, delivering the workflow automation leaders urgently need.
Step 2: Solve the “Lynchpin” with Custom Credit Scoring
Clean, instant data powers our AI/ML-based credit scoring models made for underserved and new-to-credit applicants.
This enables banks to make accurate, data-driven credit decisions, and finally say yes to the MSME segment profitably.
Step 3: Deliver at Scale with looms
Even the best AI model is useless without deployment.
looms, our automated end-to-end lending platform, brings the entire workflow into production. Integrating mindox and our AI scoring engine, institutions can reach up to 100% automated decisions in as little as three minutes.
The Future is Built on Trust — and Partnership
The summit also reinforced the growing importance of Trust, Security, and Compliance as Thailand navigates PDPA and global GDPR standards. As an ISO/IEC 27001-certified company, this is a responsibility we take seriously.
The shift toward Banking as a Service (BaaS) is changing the Thai financial landscape. Banks increasingly need trusted, proven, and secure partners who can deliver solutions now, rather than building everything in-house.
We are proud to be one of those partners.
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