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.

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Working for banks and card networks across the Middle East, Africa, Europe and Asia

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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.

Australia
Board accountability for AI

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.

Thailand
Boards accountable, vendor AI in scope

The central bank expects boards and senior management to answer for AI, and the scope reaches the systems a vendor supplies. We build to that from day one.

Singapore
AI inventory and validation

The monetary authority, MAS, expects cross functional oversight, a central AI inventory and independent validation before a model goes live. All of it ships with the platform.

Philippines
An AI governance framework, expected

The central bank sets out supervisory expectations for an AI governance framework at every supervised institution. Guardrails and an audit trail are built in.

Indonesia
A governance benchmark for bank AI

The financial services authority, OJK, sets a benchmark for the banking sector that covers advanced AI. We map our controls to it.

Malaysia and Vietnam
New rules landing across the region

Malaysia and Vietnam have opened AI consultations and draft rules, with more guidance emerging elsewhere in the region. Be ready before they 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.

One governed platform running front office, middle office, back office and outbound banking jobs

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. Grounded in what banks are already doing, and 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
  • Named banks already live on many of them, with links to the source

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.

3B+
client interactions handled by Bank of America's Erica assistant since 2018, now around 58 million a month
Source: Bank of America newsroom
10.8M
customer queries handled by NatWest's Cora assistant in 2023, up from 5 million in 2019
Source: NatWest Group
$200B to $340B
of value that generative AI could add to global banking every year
Source: McKinsey