AI your board can sign off on
Conversational and agentic AI for banks in Asia Pacific, built for the way your regulator now expects AI to be governed. 80+ use cases to transform into an AI native bank.
Working for banks and card networks across the Middle East, Africa, Europe and Asia
AI your regulator is already asking your board about
Across Asia Pacific, financial regulators have moved AI onto the board agenda. We know what each one now expects, and we build to it: guardrails, identity checks before sensitive actions, human review when confidence drops, a model inventory and an audit trail on everything.
The prudential regulator, APRA, now expects boards to hold enough AI literacy to oversee and challenge AI risk. We give them the controls to do it, and can run inside an Australian data residency region.
The central bank's AI risk guidelines hold boards and senior management accountable for decisions and operations involving AI, and they cover AI systems supplied by third parties. We build to that from day one.
The monetary authority, MAS, has proposed AI risk guidelines that expect an up to date AI inventory, a cross functional committee where AI risk is material, and independent validation before higher risk AI goes live. The platform keeps the AI inventory and the audit trail, and gives your validators and committee the evidence they need.
The central bank's June 2026 guidance paper recommends that every supervised institution develop its own AI governance framework. Guardrails and an audit trail are built in.
The financial services authority, OJK, has published AI governance guidance for banks as a minimum reference, and it covers advanced AI systems. We map our controls to it.
Bank Negara Malaysia has published a discussion paper on its proposed approach to AI in the financial sector, and more guidance is emerging elsewhere in the region. Be ready before new rules take effect.
References are to published supervisory guidance and consultations, not legal advice. Blits.ai helps banks meet these expectations in software; your own compliance team owns the regulatory assessment.
One platform, every floor of the bank
A bank is not one conversation. It is hundreds of jobs, and the ones that pay for the programme rarely sit near the front end. The same knowledge bases, guardrails, audit trail and test suite carry every one of them.
The front door
Where everyone starts
Customer conversations that help, service and engage, in the customer's own language and channel.
- Customer support and account servicing
- Card servicing: lost, stolen, activation, with an identity check
- Offers, loyalty and redemption
- Financial wellbeing: spending insights, budgets, alerts
- Super app services: travel, bookings, commerce
The middle office
Nobody demos it, everybody bleeds on it
The processes everyone tolerates until they see the price tag, and where compliance leans in furthest.
- KYC and onboarding with document validation
- Fraud detection
- AML and sanctions screening
- Disputes and chargebacks
- Credit and loan decisioning
The back office
Where the boring money lives
The clearest business case in the building usually sits far from the demo, in the plumbing.
- Invoices that post themselves into the ERP
- Reconciliation across ledgers and payments
- Tender and RFP packages into ready spreadsheets
- Regulatory reporting, generated and checked
- Data consolidation across scattered systems
The outbound desk
When the bank does the calling
The agent is the caller, not the campaign brain. Your systems own the list, the targeting and the eligibility.
- Sales lead generation for products they qualify for
- Card and spend activation
- Credit line increase acceptance
- Collections and payment reminders
- Retention and renewal calls
The impressive part of banking AI is what it reliably refuses to do
A banking assistant that is 95 percent right is a liability. When we demo, the compliance team leans in further than the innovation team. That is when a project survives contact with production.
Answers only from approved sources
Guardrails keep every response inside the knowledge you signed off, with identity checks before any sensitive action.
Hands off when unsure
When confidence drops, a human takes over with the full context, so the edge cases never turn into incidents.
Leaves a trail on everything
A full audit trail and a model inventory, so you can show your board and your regulator exactly what ran and why.
The banking AI playbook
81 jobs AI can take over inside a bank
A practical catalog of the jobs conversational, agentic and voice AI can run across the front, middle and back office, what each one delivers and the governance it needs. It keeps growing.
- Five floors of the bank, from the front door to the plumbing
- The governance each job needs, built in from day one
We'll draw the map on your whiteboard
Bring your longlist. In one session we sequence the use cases that fit your bank, including the floors your customers never see, and show what governance looks like when it comes first.
Frequently asked questions
The numbers behind the shift
Market context, with sources. The opportunity is real, and so is the risk of getting it wrong.