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Spreadex Group

AI PM Operating System: scaled decision velocity and delivery throughput

I designed and built an AI-powered PM operating system to make product work faster, more consistent, and less dependent on manual effort. The system combined DRICE-based prioritisation, automated PRD generation, competitor monitoring, persona simulation, and rapid prototyping into one practical workflow.

It was built for a lean, resource-constrained environment where PM time was being lost to repetitive tasks, fragmented inputs, and slow handoffs. By standardising how ideas were captured, evaluated, documented and pressure-tested, it increased delivery throughput, improved decision quality, and freed up meaningful PM capacity for higher-value work.

Outcomes

Capacity gain: saved approximately 20%+ of PM time

Workflow coverage: automated prioritisation, PRD creation, persona feedback, competitor research, and rewriting/document refinement

Decision quality: improved consistency of prioritisation through DRICE-based scoring and structured intake

Execution speed: reduced time from raw idea to usable spec, prototype, or stakeholder-ready output

Cross-functional impact: supported product work across growth, payments, activation, and broader platform improvements

From Fragmented PM Work to a Repeatable System

Centralised idea intake with AI triage against existing initiatives, DRICE-based scoring, and manual review — making prioritisation faster and reducing duplication.

From Fragmented PM Work to a Repeatable System image 1
From Fragmented PM Work to a Repeatable System image 2

AI-Augmented Prioritisation, Documentation and Validation

AI-generated PRDs trained to my writing style, persona simulations for early user feedback, competitor monitoring, and rapid prototypes — all reducing time from idea to stakeholder-ready output.

AI-Augmented Prioritisation, Documentation and Validation image 1
AI-Augmented Prioritisation, Documentation and Validation image 2

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