For banks, advisers, brokers, insurers, and lenders

Fractional CAIO for Financial Services: AI With Governance Built In

Financial services is the one sector where the AI conversation cannot start with the tool. It has to start with the obligation. A fractional Chief AI Officer gives your firm senior AI leadership a few days a month: a governance framework, a model-risk view, and an auditable record of decisions, all designed to support the obligations you already carry under ASIC and APRA expectations rather than cut across them.

We are an Australian consultancy, not a law firm. We help your AI program produce the documentation, controls, and consumer-outcome thinking your compliance, risk, and board functions need. We do not discharge your regulatory obligations for you, and we never claim to.

Book a Governance Conversation (03) 9003 0111

Realistic ROI

One AI register

Every model and tool in one place

A single source of truth for what AI you run, who owns it, and what risk tier it sits in. Designed for risk, compliance, and board review.

Days, not weeks

Time to a usable governance position

A working AI policy and risk-tiering approach scoped in days, not a six-month committee exercise.

Up to ~1 day/month

Fractional CAIO time at entry

About one day a month at the lighter end, scaling up for firms with more models, more change, or active regulatory engagement.

Audit-ready trail

Decisions you can show, not assert

A target of every material AI decision recorded: what, why, who approved, what controls apply. Built to support, not replace, your existing assurance.

Why a Fractional CAIO Fits Financial Services Specifically

You do not need a full-time AI executive yet, but you absolutely cannot run AI in a regulated firm with no senior owner. A fractional CAIO is the bridge: governance-first, regulator-aware, and scoped to the size of your AI footprint.

Governance comes first, not as an afterthought

In most sectors AI gets deployed and governed later. In financial services that order is backwards and dangerous. We start with risk tiering, accountability, and controls, then enable the use cases that clear the bar. The framework is designed to support your obligations under ASIC and APRA expectations, not to assert compliance on your behalf.

Auditability is treated as a deliverable

A model that works but cannot be explained or evidenced is a liability in a regulated firm. We build the decision record, the model inventory, and the control mapping as first-class outputs, so when risk, internal audit, or a regulator asks "how do you govern this", there is a documented answer rather than a scramble.

Senior thinking without a full-time hire

A full-time Chief AI Officer is a six-figure commitment most mid-sized AU advisers, brokers, and lenders cannot justify yet. A fractional CAIO gives you that seniority on a retainer: present at the risk committee, owning the AI register, and accountable for the program, for a few days a month.

Consumer outcomes stay in the frame

AI that quietly worsens outcomes for customers is the fastest route to a regulatory and reputational problem. We keep the consumer-outcome lens on every use case: would this be fair, explainable, and defensible if a customer or regulator looked closely? That question shapes what we build and what we decline to build.

What a Fractional CAIO Actually Owns in Your Firm

Six standing responsibilities, sized to your AI footprint and your regulatory profile.

Single source of truth

AI register and risk tiering

Build and maintain one register of every AI model and tool in use, each tagged with an owner, a purpose, and a risk tier. The register is the spine your risk and compliance functions work from.

Policy and controls

AI governance framework

A written AI policy, an approval pathway, and a control set scaled to risk tier. Designed to support your obligations under ASIC and APRA expectations, reviewed with your compliance team rather than imposed on it.

Model risk posture

Model risk and validation view

A practical model-risk approach: how models are validated before use, monitored in production, and retired. Proportionate, documented, and defensible at review.

Evidence on demand

Decision and audit trail

Every material AI decision recorded: the use case, the risk assessment, the approver, the controls. The aim is that assurance and audit ask once and get an answer, not a project.

Fairness and explainability

Consumer-outcome review

A standing check on whether AI use cases support fair, explainable outcomes for customers. Use cases that cannot pass that lens get reshaped or declined.

Plain-English AI report

Board and committee reporting

A regular, jargon-free AI report for the risk committee and board: what is live, what is in flight, what risk sits where, and what decisions are needed.

Where a Fractional CAIO Earns Its Keep in Financial Services

Task	Traditional	With a Fractional CAIO	Notes
Mid-sized AU broker piloting AI for client document review	Tool adopted by a team, no governance, no register entry	Use case risk-tiered, controls set, recorded in the AI register	The pilot still runs, but now it is owned, documented, and defensible if compliance or a licensee asks how it is governed.
Financial adviser firm wanting AI meeting notes and summaries	Staff using consumer AI tools with client data, ad hoc	Approved tooling, data-handling rules, consent and retention thinking	We design the guardrails so the productivity win is captured without creating a privacy or advice-record problem.
Lender exploring AI in part of a credit assessment workflow	Opaque model, no validation record, hard to explain	Validation approach, monitoring, and an explainability record	Higher-risk use cases get the heaviest scrutiny. Some are reshaped, some are paused, all are documented. Designed to support obligations, never to assert they are met.
Insurer with AI scattered across teams and no inventory	Nobody can list what AI the business runs	One register, owners assigned, risk tiers applied	The register itself is often the single most valuable first deliverable: you cannot govern what you cannot see.
Board asking management "what is our AI risk exposure?"	Vague verbal answer, no evidence behind it	A plain-English AI risk report with the register behind it	The board gets a defensible position to minute, and management gets a standing owner for the AI program.
Firm preparing for a licensee or regulatory review touching AI	Scramble to assemble AI documentation under pressure	Documentation already maintained as a standing artefact	We help you walk in with the governance record already built. We support the preparation; your compliance and legal advisers own the regulatory engagement.

How We Stay Honest About Regulation

We support your obligations, we do not discharge them

This is the most important line on the page. A fractional CAIO helps your firm build AI governance designed to support your obligations under ASIC and APRA expectations. We do not provide legal or regulatory advice, we do not certify compliance, and we never claim to take your obligations off your hands. Your compliance, risk, and legal functions remain accountable.

ASIC and APRA expectations evolve, so the framework stays live

Regulatory expectations on AI in financial services are still developing. We treat the governance framework as a living document, reviewed as guidance shifts, rather than a one-off artefact. We point you to the published expectations and help you respond to them; we do not interpret the law for you.

Higher-risk use cases get heavier scrutiny, or a no

Some AI use cases in a regulated firm carry real consumer or prudential risk. We are comfortable recommending that a use case be paused, reshaped, or declined. A fractional CAIO who only ever says yes is not doing the job a regulated firm needs.

Data, privacy, and explainability are non-negotiable controls

Customer and prudential data handling must meet your Privacy Act and APP obligations, and material decisions affecting customers must be explainable. We build these in as standing controls rather than later add-ons, and we document them so they can be evidenced.

How Yes AI Delivers the Fractional CAIO Role

Governance framework designed for your obligations

We build an AI policy, an approval pathway, and a risk-tiering model designed to support your obligations under ASIC and APRA expectations, sized to your firm. Reviewed with your compliance and risk teams, never imposed over them.

AI register and model inventory

We stand up and maintain a single register of every AI model and tool you run, with owners, purposes, and risk tiers. It becomes the spine your risk committee and auditors work from.

A seat at your risk and board table

Your fractional CAIO attends the risk committee and reports to the board in plain English: what is live, what is in flight, where the risk sits, and what decisions are needed. Senior AI ownership without a full-time hire.

Documentation and audit-trail discipline

We make the decision record, control mapping, and consumer-outcome reviews standing artefacts, so when assurance, internal audit, or a regulator asks how you govern AI, the answer is already written down.

How a Financial Services Fractional CAIO Engagement Starts

Most firms have a working governance position and a populated AI register within the first few weeks, then we hold the role on retainer.

Paid scoping engagement

A short paid scoping engagement first: we map your current AI footprint, your regulatory profile, and your existing risk and compliance structures, then recommend the right CAIO cadence. No long-term commitment to begin.

Build the AI register and risk tiers

We inventory every AI model and tool in use, assign owners, and apply risk tiers. The register becomes the single source of truth your risk and compliance functions work from.

Stand up the governance framework

We draft the AI policy, approval pathway, and control set, scaled to risk tier and designed to support your ASIC and APRA obligations. Reviewed with your compliance, risk, and legal teams before it goes live.

Embed reporting and the consumer-outcome lens

We set up the standing board and risk-committee report, the decision and audit trail, and the consumer-outcome review that runs over every new use case.

Hold the role on retainer

Your fractional CAIO stays on as the standing owner: attending committees, maintaining the register, reviewing new use cases, and keeping the framework live as expectations evolve.

FAQ

Can a fractional CAIO make us compliant with ASIC and APRA AI expectations?

No, and we will never claim that. We are an AI consultancy, not a law firm or a compliance certifier. What we do is help your firm build AI governance, model-risk practices, an audit trail, and consumer-outcome thinking that are designed to support the obligations you carry under ASIC and APRA expectations. Your compliance, risk, and legal functions remain accountable for actual compliance, and your own advisers interpret the regulatory requirements. We give you the documented governance position that supports that work; we do not discharge the obligation for you.

We are a small adviser or broker, not a bank. Is this overkill?

No. The framework scales down. A small adviser firm using AI for meeting notes and document drafting still needs a register, a basic policy, sensible data-handling rules, and an owner. We size the engagement to your footprint. A lighter-touch firm might only need about one day of CAIO time a month. The point is having a senior owner and a documented position, proportionate to your actual risk, not a bank-sized governance machine.

What does a fractional CAIO actually own day to day?

The AI register, the governance framework, the model-risk view, the decision and audit trail, the consumer-outcome review, and the board and risk-committee reporting. In practice that means maintaining the inventory, risk-tiering and approving new use cases, attending your risk committee, and producing a plain-English AI report. They are the standing senior owner of your AI program, present a few days a month rather than full time.

Do you provide legal or regulatory advice?

No. We are explicit about this boundary. We do not provide legal or regulatory advice, we do not interpret the law for you, and we do not certify compliance. We point you to the published ASIC and APRA expectations, help you build governance designed to support them, and recommend you confirm regulatory questions with your own legal and compliance advisers. Keeping that line clear is part of doing the job honestly in a regulated sector.

How do you handle a higher-risk use case, like AI in credit decisioning?

With the heaviest scrutiny, and sometimes with a no. Higher-risk use cases that affect customers or carry prudential weight get a full risk assessment, a validation and monitoring approach, and an explainability record. Some get reshaped to lower their risk, some get paused until controls catch up, and some we recommend against entirely. Everything is documented. A fractional CAIO who only ever approves is not protecting a regulated firm.

How much does a fractional CAIO cost?

Engagements typically run from about $2,000 per month, which is around one day a month for a lighter-footprint firm, up to $8,000 or more per month for several days a month where there are more models, more change, or active regulatory engagement. We almost always start with a short paid scoping engagement so we can recommend the right cadence before you commit to a retainer. Pricing is scoped to your firm, not a fixed package.

Will you work alongside our existing compliance and risk teams?

Always. The fractional CAIO role is built to slot in beside your compliance, risk, internal audit, and legal functions, not to replace or override them. We review the governance framework with your compliance team before it goes live, we feed the AI register into your existing risk processes, and we report through your existing committee structure. We add the AI-specific senior ownership that those teams usually do not have in-house.

How quickly will we have something usable?

The AI register and a first-cut governance position are usually in place within the first few weeks of an engagement, after the paid scoping step. A fuller framework, reporting cadence, and consumer-outcome review settle in over the following weeks. After that the value is in the ongoing role: keeping the register current, reviewing new use cases, and keeping the framework live as ASIC and APRA expectations evolve.

Put a Senior AI Owner Behind Your Obligations

Book a governance conversation. We will talk through your current AI footprint, your regulatory profile, and whether a fractional CAIO is the right fit, with no obligation and no jargon. If it is not right for you, we will tell you.