Joel Parkinson

Client trust isn’t a vibe — it’s a process.

At Rune Digital, I use AI to accelerate delivery, not replace accountability.

• Client data is isolated to each project • Data is never reused or trained across clients • All outputs are human-reviewed and signed off

This is documented,...

Documented pre-delivery QA checklist for data processing work.

This checklist reflects the process I use to validate datasets before handoff, including:

- Structural integrity checks (keys, schema, required fields)

- Formatting and normalization

- Accuracy and consistency review

-...

I’ve started offering a Data Cleaning & Quality Assurance service focused on getting datasets delivery-ready before analysis or reporting.

My process covers: • Schema & structural integrity • Formatting and normalization • Cross-field consistency checks • Outlier and null...

A documented quality and safety framework outlining how AI-assisted work is reviewed, approved, and delivered with full human accountability.

This playbook governs data cleanup, validation, and documentation workflows to ensure accuracy, trust, and predictable outcomes.