Financial Services · Enterprise AI

AI that ships to production, not just to presentations

End-to-end AI implementation for regulated financial services. We deploy, govern, train, and support — built for APRA-regulated environments. 150+ engineers, 4.5+ year average tenure.

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87 NPS across all
engagements
150+ Engineers
across APAC
The challenge

Financial services AI needs more than a strategy deck

Most financial institutions have an AI strategy. Few have AI in production. The gap is not ambition — it is execution. APRA-regulated environments demand governance, auditability, and data sovereignty from day one, not bolted on after launch.

Fragmented pilots, governance gaps, and vendor lock-in stall progress. What is needed is an engineering partner that understands both the technology and the regulatory landscape — and ships production AI without shortcuts.

87

NPS

Across all engagements

150+

Engineers

Across APAC

4.5+

Years

Average engineer tenure

100%

APRA-aligned

Governance frameworks

4 integrated capabilities

Our services

Four integrated capabilities that take AI from concept to production in regulated environments.

01

AI Implementation

From model selection to production deployment. We build AI systems that operate within your existing infrastructure and meet regulatory requirements.

Model evaluation Core banking integration Production hardening
02

AI Governance & Policy

Acceptable use policies, risk classification, and approval workflows aligned with APRA CPS 230 and ASIC guidance.

Risk frameworks Regulatory alignment Board-ready documentation
03

Team Onboarding & Training

Role-based training, prompt engineering workshops, and change management for enterprise AI adoption across your organisation.

Role-based programmes Prompt engineering Change management
04

Support & Observability

Continuous monitoring, model auditing, and compliance reporting. Professional and Enterprise packages include full audit trail.

Real-time monitoring Full audit trail Compliance alerting
4-phase process

Our approach

A structured process that moves from assessment to ongoing operations.

01

Assess

2 to 4 weeks

AI maturity, data readiness, regulatory posture, team capability

02

Design

Solution architecture, governance framework, onboarding programme

03

Implement

Production deployment, platform integration, monitoring pipelines

04

Operate

Ongoing support, compliance reporting, continuous improvement

3 engagement levels

Packages

Choose the engagement level that fits your organisation's needs and AI maturity.

Essentials

AI Readiness Assessment
Governance Framework
Team Awareness Programme
Production AI Deployment
Role-Based Training
Full Audit Trail
Managed AI Operations
Compliance Reporting
Strategic Advisory
Talk to an Expert
Most popular

Professional

AI Readiness Assessment
Governance Framework
Team Awareness Programme
Production AI Deployment
Role-Based Training
Full Audit Trail
Managed AI Operations
Compliance Reporting
Strategic Advisory
Talk to Our Team

Enterprise

AI Readiness Assessment
Governance Framework
Team Awareness Programme
Production AI Deployment
Role-Based Training
Full Audit Trail
Managed AI Operations
Compliance Reporting
Strategic Advisory
Talk to Our Team
Results

Case study

A major Australian financial institution

Deploying production AI with full APRA-aligned governance

Adaca partnered with a leading Australian bank to deploy AI across customer operations and risk management. The engagement covered model selection, governance frameworks aligned with APRA CPS 230, role-based training for 200+ staff, and ongoing managed operations with full audit trail.

Production AI deployed in 12 weeks with zero compliance findings at first APRA review

3 differentiators

Why Adaca

Regulatory-native engineering

APRA CPS 230, ASIC, AML/CTF built in from day one. Not retrofitted, not bolted on — engineered into every layer.

Engineers who stay

4.5+ year average tenure means deep codebase knowledge and regulatory context that does not walk out the door.

AI practitioners, not advisers

Adaca builds production AI products — Lovelace, Primrose, Solido, Lineer. We ship what we recommend.

5 questions answered

Frequently asked
questions

Common questions about AI implementation in regulated financial services.

01 Which industries do you work with?

While this page focuses on financial services, Adaca delivers AI implementation across regulated industries including banking, insurance, wealth management, and superannuation. Our governance frameworks are adaptable to any sector with strict compliance requirements.

02 How do you handle data sovereignty requirements?

All AI models and data pipelines are deployed within Australian data centres unless otherwise specified. We design architectures that keep sensitive data on-premises or in sovereign cloud regions, with full audit trails showing data residency at every stage.

03 What does the full audit trail include?

Our audit trail captures every AI interaction: prompts, responses, model versions, user identity, timestamps, and policy decisions. This data is stored immutably and can be exported for APRA examinations, internal audits, or board reporting.

04 How long does a typical engagement take?

An Essentials engagement (readiness assessment and governance framework) typically takes 2 to 4 weeks. Professional engagements with production deployment run 8 to 12 weeks. Enterprise engagements are ongoing, with initial deployment in 12 weeks and managed operations continuing from there.

05 Can you integrate with our existing technology stack?

Yes. We work with your existing platforms — whether that is Azure, AWS, GCP, or on-premises infrastructure. Our engineers integrate AI capabilities into core banking systems, CRM platforms, and internal tools without requiring a platform migration.

Still have questions?

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Let's explore how Adaca's journey can support yours.

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