Finance professional, founder and AI workflow builder. My banking experience spans behavioural economics and project delivery. I use that background to design practical AI tools and create clear guidance for business teams.
Real products and controlled experiments that show how I translate business problems into structured AI journeys. Commercial source code stays private. Case studies distinguish selected owner tests from customer adoption; paid fulfilment remains a separate launch gate.
A shared platform supporting four product workflows with authentication, private storage, product-scoped access, server-side AI orchestration and human review.
A career-tech workflow for South African and emerging-market professionals pursuing international remote roles. The workflow is designed to preserve candidate evidence, flag gaps and require human review before export.
Read the case study →A practical playbook and sample 60-minute workshop for finance and business teams. The exercises cover selecting useful tasks, protecting confidential data, checking AI outputs and retaining human accountability. These are training samples, not claimed client engagements.
Read the sample workshopAn AI and automation product used to develop practical experience in workflow design, product engineering, infrastructure and secure data boundaries.
View GitHub profile →My funding and advisory business provides direct exposure to SME documentation, transaction preparation and operational problems that inform FundReady, ClearMatch and TenderPilot.
Visit Mora Capital Partners →My sample training material shows how teams can move from casual prompting to repeatable workflows. The focus is practical: the business task, the approved evidence, the model boundary, the reviewer and the success measure.
Map the input, decision, output and owner before introducing a model.
Define evidence, output structure and what the system must never assume.
Place review and approval where errors would affect customers or decisions.
Test accuracy, clarity, traceability, recovery and time saved, not novelty.
“AI adoption is the discipline of deciding where AI belongs, what evidence it can use, who reviews it, and how success is measured.”
Experience across banking, lending, pricing, product economics and SME funding.
Project management, stakeholder translation, operational workflows and production testing.
Prompt and workflow design, human-in-the-loop controls, evaluation and AI-assisted product building.
If you need someone who can understand a business problem, design the AI workflow, challenge unsafe assumptions and teach the team how to use it, that is where I can contribute.