Pipeline Governed
Cumulative pipeline value governed across commercial roles.
View evidenceI combine commercial strategy, systems, data and AI to improve forecast accuracy, drive operational leverage and create predictable revenue growth.
Cumulative pipeline value governed across commercial roles.
View evidenceCommercial operations experience since 2011.
Designed, delivered and embedded across the commercial operating model.
Forecasting, compensation, governance and reporting frameworks operationalised.
Practical AI tools, agents and workflows built around commercial decisions.
View evidenceBuilding the commercial operating model behind scaling businesses. Governance, cadence, and the frameworks that survive personnel changes.
Redesigning forecasting governance to lift accuracy from 80% to 90%+. Inspection cadences and evidence bars, not new tools.
Commission plan architecture across multiple team types. Gate structures, accelerators, and legal language that holds up to dispute.
End to end Salesforce, DealHub and Spiff implementation. Systems that reps actually use, not shelfware.
Building AI native RevOps tooling that gives reps back hours. Assistants, workflows and analytical agents on top of the CRM.
Board and SLT reporting that changes decisions. Cut time from data to insight from days to hours.
Designed a reusable shadow mode framework for entity resolution and call intelligence agents, with confidence scoring, human approval and an evidence based path to selective autonomy.
View case study →Built a flexible commission engine with gates, accelerators and real time payout visibility. Cut commission letter generation from 2 days to under an hour per cycle.
View case study →Designed a forecasting framework and AI assistant that lifted forecast accuracy from 80% to 90%+, embedded across the GTM organisation.
View case study →Built an explainable scoring layer across deal risk, evidence health and account fit, adopted across the full GTM organisation.
View case study →Automated the weekly leadership reporting pipeline and reduced time from data to insight from three days to under four hours.
View case study →Led end to end DealHub implementation, including the discount approval framework, quoting logic and adoption across the sales team.
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