Banking, insurance, super, lending and advice

AI for Financial Services

Regulated firms carry operational risk and information security obligations that apply to every AI tool they adopt. We help you use AI for the evidence, document and reporting work those obligations create, with the controls written down before anything goes live.

The Obligations an AI Tool Walks Into

APRA's CPS 230 Operational Risk Management took effect on 1 July 2025 for all APRA-regulated entities in banking, general and life insurance, superannuation and private health insurance. It requires entities to identify critical operations, set tolerance levels for disruption, maintain business continuity plans and manage the risks from material service providers, recorded in a register. Pre-existing service provider contracts had until the earlier of renewal or 1 July 2026 to comply, so that grace period is over.

CPS 234 Information Security has applied since 1 July 2019. It extends to information assets managed by related parties and third parties, expects systematic testing of controls, and sets notification deadlines to APRA: no later than 72 hours after becoming aware of a material information security incident, and no later than 10 business days for a material control weakness the entity cannot remediate in time.

An AI service that reads customer files, drafts correspondence or summarises claims is an information asset, often run by a third party, and sometimes supports a critical operation. That means it needs a place in the service provider register, a tested control set and an owner. Our CPS 230 guide sets out where AI helps with the standard and where it cannot, and AI in Australian financial services covers the ASIC side.

Who This Work Suits

We qualify by the obligation and the problem, whatever the size of the firm.

APRA-regulated entities

Risk and operations teams assembling CPS 230 and CPS 234 evidence by hand from tickets, logs and spreadsheets.

Service providers to regulated firms

Vendors, administrators and claims processors fielding due diligence questionnaires about their AI features.

Lenders and brokers

Application packs, bank statements and supporting documents checked and rekeyed manually, plus Consumer Data Right obligations.

Advice practices

File notes, advice records and review cycles that take longer to document than to deliver.

Fraud and scams teams

Alert queues growing faster than analysts can triage, with new scams obligations arriving.

Microsoft 365 tenants

Copilot on the roadmap, with customer files and board papers sitting on SharePoint sites nobody has reviewed.

Sector guides: CDR for non-bank lenders, mortgage broker application admin, insurance broker policy and claims admin, the Scams Prevention Framework and AML/CTF Tranche 2.

What an Engagement Covers

AI use case and provider inventory

Where AI already runs, including features vendors have switched on, mapped to the critical operations and information assets each one touches.

CPS 230 evidence automation

Pulling control test results, incident history and provider performance data into evidence packs a person reviews and signs, instead of rebuilding them each quarter.

Service provider oversight

Tracking contract dates, SLA results and reported incidents across your providers, with flags raised for the owner to assess.

Document workflows

Extracting and checking data from applications, claims, statements and advice files, with exceptions routed to staff and every output traceable to its source.

Copilot readiness

A permissions and sharing review of SharePoint, OneDrive and Teams before Copilot can surface customer or board material to the wrong people.

Hosting and data location

A documented choice between Australian cloud regions and models run in your own environment, with storage and processing locations recorded separately.

The Microsoft 365 work runs through our Copilot readiness assessment. Self-hosted options are covered under private AI infrastructure and our local LLM guide.

Where AI Fits and Where It Does Not

Who Owns This Task?

What is the task?
Assembling evidence that a control operated
→ AI drafts, a person reviews and signs
Extracting data from applications or claims
→ AI extracts, exceptions go to staff
Deciding whether an incident is material
→ Accountable person decides
Setting critical operations and tolerances
→ Board and executive decision
Approving a loan or a claim
→ Credit or claims officer decides

What You Receive

Scope is agreed in the first conversation. This is the usual shape.

  • An inventory of AI use cases and AI-enabled providers, mapped to critical operations and information assets.
  • A control and evidence map for each in-scope tool against CPS 230 and CPS 234, written for your risk team to own.
  • A ranked shortlist of automation opportunities, with the human decision point marked on each.
  • A working pilot for the first use case, with logging, exception handling and measured before and after times.
  • A hosting and data location record for each AI service, separating storage from processing.
  • A handover covering who monitors the tool, how changes are approved and when it is reviewed.

How the Work Runs

Timing depends on how many systems and providers are in scope and how fast risk owners can review, so we set dates after discovery.

Financial Services AI Engagement Phases

1
Phase 1
Scope
Agree the obligations in play, the teams and systems in scope and who signs off
2
Phase 2
Inventory and map
Find AI in use and map it to critical operations, information assets and providers
3
Phase 3
Design controls
Write the control set, data location record and human decision points for the first use case
4
Phase 4
Pilot
Build and measure one use case with logging and exception handling
5
Ongoing
Operate
Monitor, test controls and review provider changes on an agreed rhythm

Ongoing operation can sit with your team or our managed AI services. Work that joins core systems, CRMs and document stores uses our system integration and process automation services. Group finance teams consolidating many entities may also want our post on multi-entity consolidation.

When We Are the Wrong Fit

  • You need prudential, legal or licensing advice. We prepare evidence and systems for your compliance and legal advisers to assess.
  • You want a model to approve credit, pay claims or give personal advice without a responsible person deciding. We will not build that.
  • You need a core banking or policy administration replacement. That is a platform program, and we can support a defined piece of it at most.
  • You want a vendor shortlist with commissions attached. We have no reseller arrangements to push.

Based in Queensland, Working Australia-Wide

Solve8 is based in Beenleigh, between Brisbane and the Gold Coast. Most financial services work runs remotely, with workshops in person where it helps. See our Sydney and Melbourne pages, or start with AI strategy if you have not yet decided where AI belongs.

9/86 City Rd, Beenleigh QLD 4207
Remote delivery Australia-wide

Frequently Asked Questions

Map Your AI Before APRA Asks

Book a 30-minute scoping call. Tell us which obligations apply, what AI is already in use and where the manual work sits, and we will agree what the first phase should cover. Engagement options are on our pricing page.