Controlled advice workflows for leading wealth managers.
Finlogica integrates with existing adviser, broker and compliance workflows to support the production and review of adviser-ready advice packs — with deterministic calculations, file-control checks and audit evidence retained against every file. It is not generic AI, a chatbot, a prompt tool or a replacement wealth platform.
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.
AU data residency
SOC 2
Deterministic calculations
Australian advice controls
IRESS / FIX integrationPersonalised. Compliant. At scale.
Customised, compliant advice takes time. The challenge is producing and reviewing personalised, compliant advice quickly enough to serve large client books — without losing consistency, control or client momentum.

Most firms optimise two. Finlogica is designed to support all three.
When AI enters advice production, the issue becomes control.
Advisers are already using general-purpose AI in client work. The licensee exposure is whether the file can be reproduced, reasoned and defended on review — a reasoning-chain question now squarely inside the best-interests obligation.
"ASIC is urging financial services and credit licensees to ensure their governance practices keep pace with their accelerating adoption of artificial intelligence."ASIC Media Release 24-238MR · 29 October 2024
No audit trail or reproducibility
The file often cannot demonstrate how advice was formed, what inputs were used, or why the recommendation was appropriate.
Client data exposure
Client PII may be entered into general-purpose models with no enforceable limits on retention, secondary use or model training.
Hallucination and inconsistency
Models can generate plausible but incorrect content and produce different outputs from the same facts.
Systemic failure modes
When a prompt or tool fails, the failure can repeat the same way across multiple advisers and client files before becoming visible.
From file weakness to firm-level harm.
Unmanaged AI use does not stop at one file. At scale it can turn into financial liability, remediation cost and reputational harm across the licensee. The CSLR levy and AFCA determinations follow the licensee, not the tool.
The control layer sits around the model.
Finlogica does not rely on the language model to be the control. Structured inputs, deterministic calculations, controlled drafting, file-control checks, record keeping and adviser approval sit around the model. The reader's question — what would my risk committee ask? — is mapped to a numbered control that retains the evidence.
Structured inputs
Defined source data before drafting begins.
Deterministic calculations
Numbers are calculated, not written by the model.
Controlled drafting
AI drafts within approved templates and structured context.
File-control checks
Structured compliance assessment with evidence per check.
Record keeping
Inputs, calculations, exceptions and approvals retained.
Adviser approval
Professional judgement and final release stay with the adviser.
Source documents in. Adviser-ready advice pack out.
Five controlled workflows. Three Produce — generate adviser-ready advice files. Two Review — assess existing files for risk and remediation.
Designed to integrate with your workflow — not replace it.
Finlogica operates as a controlled production and review layer behind the existing adviser environment — not as a replacement adviser desktop or wealth platform. Inputs and outputs move through controlled email, secure shared folder or API integration. Procurement-grade controls — SSO/SAML/MFA-ready access, Australian PII residency, AI processing through AWS Bedrock, SOC 2 assurance and audit logs — apply across deployment options.
Built by operators across AI, advice, capital markets and risk.
Founded by an AI/ML systems leader, an investment banking and regulated-markets executive, and a 25-year compliance and risk leader.
Tristram Cleminson
William Cole
How to evaluate AI for regulated advice.
Output quality · control evidence · security & governance · implementation fit.
Review the workflow against your advice process.
A focused session for CEOs, COOs, Heads of Advice, Compliance, Operations and Technology teams assessing controlled AI advice workflows.
