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Evaluation guide

A practical guide to controlled AI adoption in Australian advice firms.

Finlogica helps wealth licensees evaluate, pilot and scale controlled AI across advice production and advice-file review without surrendering adviser control, record keeping or licensee oversight.

The system assists. The Adviser advises.

Adviser-supervised by design. Finlogica does not provide personal financial advice. Authorised advisers and licensees retain advice scope, client-facing judgement, approval and record-keeping responsibility.

01 — Evaluation framework

How to evaluate AI for regulated advice.

A useful evaluation does not start with the demo. It starts with the workflow, the risk, the evidence required and the measurable outcome the firm is trying to improve.

Output quality

Can the system produce adviser-ready work that is accurate, consistent, reviewable and aligned to the file?

Control evidence

Does each file retain inputs, calculations, checks, exceptions, reviewer notes and approval history?

Security and governance

Are data residency, access controls, audit logs, retention, incident processes and model boundaries documented?

Implementation fit

Can the workflow operate through secure inbox, secure shared folder or API without forcing another adviser desktop?

02 — Use cases

Select workflows that are high-volume, repeatable and measurable.

The strongest pilots are narrow enough to control, but important enough to prove value.

Use case 01

Produce

Adviser-ready SOAs, ROAs, rebalancing advice and wholesale strategy papers.

  • High document volume
  • Repeatable structure
  • Clear adviser review step
Use case 02

Detect

Review existing files to identify inconsistency, missing evidence, disclosure gaps and remediation themes.

  • Back-book risk
  • Control exceptions
  • Prioritised review
Use case 03

Defend

Create an evidence pack that supports file reconstruction, compliance review and audit readiness.

  • Inputs retained
  • Checks retained
  • Approval retained
Use case 04

Extend

Integrate with adviser, broker, compliance, document and execution workflows where justified.

  • Secure intake
  • API / folder options
  • IRESS / FIX pathways
03 — Adoption pathway

Assess, pilot, validate, scale.

Treat implementation as a controlled operating-change process, not a software activation.

01 · AssessMap current-state problem

Define pain points, file types, users, data sources, risk appetite and success criteria.

02 · PilotStart with one workflow

Select a contained file sample with clear volume, structure and business relevance.

03 · ValidateMeasure evidence and quality

Track time, quality, exception rate, adviser confidence, reviewer confidence and operational fit.

04 · ScaleExpand in waves

Use role-specific training, champions, governance cadence and feedback loops.

The system assists. The Adviser advises.

The full Buyer's Guide white paper.

Includes the business-case framework (linking AI adoption to capacity, quality, compliance visibility and risk control), the pilot design pack (scope, metrics, governance, go/no-go criteria) and the procurement checklist. Released to qualified licensee enquiries.

Request the full white paper
The system assists. The Adviser advises.

Ready to evaluate controlled AI?

The best demonstration starts with your business case, not a generic feature tour.

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