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AI Innovation

Social Impact

Systems Design

Product Strategy

UI UX

Sherlocked.ai

Improving access to capital using Federated Learning AI for Indigenous communities.

1st place at the 2024 Innovator Pro Pitch Fest at KPMG Australia.

Improving access to capital using Federated Learning AI for Indigenous communities.

1st place at the 2024 Innovator Pro Pitch Fest at KPMG Australia.

We collaborated with mentors from ↓

Team Structure

Product Designer (Me)

Computer Scientist @ KPMG

Finance @ Unilever

Financial Analyst @ Equifax

Mech Eng @ Prysmian

Role

Product Designer

Timeline

2 Months

Type of work

HYBRID

The

Solution

Sherlocked.AI increases loan approval rates for Indigenous businesses by matching them with funding opportunities and guiding them step-by-step to get their loan approved.

Sherlocked.AI increases loan approval for First Nations entrepreneurs using Federated Learning. We match them with funding, providing confidence scores, and guiding them step-by-step in a personalised way.

The

Problem

Indigenous Australians face systemic barriers in accessing small business loans, subsidies, and grants.

Over 2,700 organisations have formalised their commitment to reconciliation through a Reconciliation Action Plan. Including every major bank in Australia.

(Reconciliation Australia, 2024)

Over 2,700 organisations have formalised their commitment to reconciliation through a Reconciliation Action Plan. Including every major bank in Australia.

(Reconciliation Australia, 2024)

Supporting Evidence

Over 2,700 organisations have formalised their commitment to reconciliation through a Reconciliation Action Plan. Including every major bank in Australia.

Australian Banking Association

2025

Pain Points

Business Needs

Increase Loan Approvals.

Expand Financial Inclusion.

Streamline Onboarding.

Customer Needs

Confusion about
available loan options.

Need to read policies
and documents.

Unclear loan
application process.

Ideation

🎯 Led a Systems Thinking Workshop to identify industries with the largest impact and map out barriers in the loan process, exploring:

Lack of financial literacy resources
Limited credit history data affecting approvals
Regulatory challenges in financial services
Algorithmic bias in traditional banking models

Key Insight – A centralised AI-powered loan-matching assistant can remove complexity, guiding users step-by-step.

Collaboration

We collaborated with AI specialists from Commbank, Red Hat, IBM and more. Industry insights evolved our product at every stage.

Final Solution

We ended up winning first place at this competition. Our final presentation was at the KPMG office in Sydney.

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Get in touch

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