Industry overview
From legacy systems to learning platforms. Why cloud-agnostic SaaS became the architecture of choice, and what AI changes about it.
How AI-driven SaaS is powering the next generation of banking.

What's inside
Drawing on research from IDC, Gartner, McKinsey, BCG, Accenture, EY, the World Economic Forum and the Bank for International Settlements, plus live deployments across banks, fintechs and insurers.
From legacy systems to learning platforms. Why cloud-agnostic SaaS became the architecture of choice, and what AI changes about it.
AI-led automation, agentic AI, composable SaaS, and the uncomfortable gap between AI's promise and proven ROI in finance.
Onboarding, credit scoring, fraud detection, engagement, regulatory reporting and treasury, with the numbers institutions actually reported.
LLMs tailored to financial applications, retrieval-augmented generation for grounded outputs, and embedded AI in core banking and CRM.
Principles-based frameworks, the explainability clarity gap, SupTech supervision, and the governance structures banks are standing up.
Legacy complexity, unproven profitability at scale, and consumer demand for transparency in automated decisions.
Where AI is genuinely live today, and why 80% of institutions are still stuck in the idea or pilot phase.
Agentic SaaS built on three principles: autonomous capabilities, composable intelligence, and explainability-first design. Applied across lending, core banking and FX, investments and CRM.
The $200B to $340B annual value at stake in banking, and what separates reinvention-ready institutions from the rest.
Key takeaways
Not a technology explainer. A decision input for roadmap, investment and governance conversations.
Agentic banking shifts the industry away from static segmentation toward proactive, graph-based discovery, unlocking customer segments and distribution models that rules-based systems never reach.
Modular, API-first architecture lets institutions plug in best-in-class models and evolve as fast as the technology does. Gartner expects over 70% of banks on some form of composable platform by 2027.
Every decision, action and recommendation logged, auditable and compliant by design, with granular RBAC, audit trails and integration into external regulatory systems.
Onboarding from days to under two minutes, 20 to 30% lower default rates, up to 60% better fraud detection, 50% faster regulatory reporting. Every figure carries the institution and study behind it.
Partnership
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Sirisoft partners with Akkuro to bring composable, AI-native banking infrastructure to financial institutions in Thailand. Akkuro builds the platform; Sirisoft brings the local delivery, integration and managed-service capability that turns it into production systems inside your existing estate, so you adopt agentic banking without re-platforming everything you already run.
Modular, API-first services that slot into your core, CRM and channels. It is the same composable philosophy Sirisoft applies across its technology practice.
Explainability, audit trails and RBAC by design, delivered by an ISO/IEC 27001 and ISO 9001 certified partner familiar with Thai regulatory expectations.
European-built infrastructure proven with leading institutions, supported on the ground by a Thai engineering team you can reach in your timezone.
15 pages of market data, live use cases, regulatory context and the agentic banking roadmap. Free to download.
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