Upcoming
Webinar
Building an AI-Native Financial Institution: What It Actually Takes in a Regulated Environment
We've already done it for a CBUAE-licensed Islamic bank. In this session, we'll show you how it works, what it took, and how it translates to any financial institution ready to move AI into production.
Every financial institution and bank is exploring AI. Few have made it past pilot. Not because the technology doesn't work, but because regulated organisations face harder questions: Can we prove every AI action is auditable? Does any data leave our infrastructure? Will this satisfy the regulator before it satisfies the business?
In this live session, we will break down what it actually takes to build AI into the foundation of a regulated financial institution, governed, sovereign, and scalable from day one.
This session includes a real deployment case study: how MagOneAI is powering agentic AI inside ruya, a CBUAE-licensed Islamic community bank in the UAE. Use cases like business onboarding, automated voucher posting, and cheque clearance are already live in production, running entirely on the bank's own sovereign infrastructure. Nine use cases are mapped across customer, operations, risk, and employee layers, with six more shipping in the coming months.
The same platform, the same governance framework, and the same deployment model can be applied to any bank, insurer, fintech, or financial services provider. You name the use case, we build it for you, with governance incorporated from day one.
Key Insights for BFSI Leaders:
How we deployed agentic AI inside a CBUAE-licensed bank, from decision to production in weeks, and what made it possible
Real use cases already live: business onboarding, voucher posting to core banking, cheque clearance, with collections, compliance alerts, and credit decisioning shipping next
What an AI-native financial institution actually looks like: intelligence built into operations, not bolted on as isolated projects
How the CBUAE's responsible AI expectations are met by design: governance, transparency, human oversight, and data privacy built into the platform, not retrofitted
Sovereign deployment: AI running inside your own infrastructure, any LLM, zero vendor lock-in, no customer data ever leaving your environment
How to translate this to your institution: you name the use case, we build it on one governed platform where each new capability ships faster than the last
Must Attend For:
Enterprise leaders and teams who:
Lead AI strategy or technology at a bank, insurer, fintech, or financial services firm
Have AI pilots that haven't reached production, or need to demonstrate ROI to the board
Face questions from risk committees or regulators on how AI decisions are governed and audited
Need sovereign, on-premise, or air-gapped AI deployment for regulated environments
Want a proven, repeatable framework for getting AI into production inside a regulated institution
Please fill the form below
Speakers
CEO, Magure
AI Innovation Lead
Frequently Asked Questions
What does "AI-native" mean for a financial institution?
Will this session reference real deployments?
Is this relevant for institutions outside the UAE?
How does MagOneAI handle data sovereignty for banks?
What certifications does MagOneAI hold?
Is this webinar free? Will I get a recording?
