Investigation and monitoring
Bring relevant activity and supporting evidence into reach of the reviewer.
BANKS, INSURERS & FINANCIAL SERVICES
AI consulting for banks
and financial services.
AI consulting for Australian banks, insurers and financial-services teams. Build evidence retrieval, investigation support and controlled workflows with human review.
Discuss your requirementsWORK YOU CAN COMMISSION
Build around the job.
Start with the people, the task and what a useful result would let them do.
Operational data
Give teams a useful view of the questions they need to answer.
Controlled workflows
Define data access, permitted actions, evaluation criteria and human approval points.
RELEVANT EXPERIENCE
Look at the work behind the offer.
Delivered work includes fraud monitoring systems for banks. Wider delivery experience includes Commonwealth Bank, Westpac and MetLife, including consulting and placement arrangements.
Names identify delivery experience, not endorsement.
Explore the delivery experienceA SCOPE FOR YOUR TEAM
Make the next step concrete.
Illustrative work you can commission. Deliverables and responsibilities are agreed for your engagement.
Investigation support with source context
A possible scope: assemble relevant records and prepare a reviewable case summary. Keep supporting evidence accessible so the investigator can challenge an output.
Permissions and action boundaries
Identify which records a user or tool can read and which changes require approval. Test denied access and attempts to act outside the agreed workflow.
Evaluation around consequential errors
Use representative and difficult cases to examine unsupported claims, missing evidence and incorrect tool actions. Agree acceptance criteria and escalation before release.
A controlled operating plan
Define logs, changes, rollback, account ownership and support responsibilities. Treat changes to models, source data and integrations as reasons to review the test evidence.
What to bring to the first conversation.
Bring the reviewer’s task, permitted data sources, access boundaries and the team responsible for acceptance. Use redacted examples first and identify the decisions the system must never make on its own.
Keep confidential records and personal information out of the initial enquiry.
Use the project brief worksheetBEFORE WE BEGIN
A few useful answers.
Does AI make the final decision?
The permitted actions and human approval points are agreed in scope. We do not assume that an AI output can be acted on automatically.
Can we start with one use case?
Yes. A bounded assessment or implementation can establish the approach before a wider programme.
Can it run in our environment?
Deployment can be inside your environment when required. Data access, operational responsibilities and support are agreed before implementation.
Can the system make lending or other consequential decisions?
We do not assume permission for automated decisions. The engagement must identify permitted actions and the decisions reserved for authorised people, with the client’s approval and acceptance process.
What banking experience can you show?
Our delivery experience includes fraud monitoring systems for banks. Wider experience includes Commonwealth Bank, Westpac and MetLife through consulting and placement arrangements. These names do not identify the client behind a specific fraud system or imply endorsement.
Can we commission a limited assessment first?
Yes. A bounded review can clarify the workflow, source access and evaluation requirements before a wider build. Deployment and any required assurance work are agreed with the client.
YOUR NEXT STEP
Let’s talk about the job.
Describe what happens today and what you need to change.
Fixed-price quotes. Most projects start from AUD $5,000, and small jobs are welcome.