Applied AI. Operationalized.
Every system follows the same principle: AI handles the operational labor so the team can focus on strategic and creative work.
Credential
Delivered broadcast-quality video across compressed timelines and budgets. Deployed across independent clients and as part of the SGWX production team.
Organizations need competitive video content. Traditional production timelines and costs create bottlenecks.
AI-native video production from storyboard to final cut. A fundamentally different workflow delivering broadcast-quality output at a fraction of the cost and timeline.
Project briefs that required days to build now generate in minutes. Errors eliminated. Staff capacity recovered for higher-value work.
Major international sporting event. Dozens of stakeholders. Staff spent days every year pulling historical data from legacy spreadsheets and rebuilding documents from scratch.
Designed and deployed an automated system that pulls historical data and generates ready-to-use briefing documents — replacing a multi-day manual process.
Analytics that required hours of manual data pulls now run automatically, surfacing insights the manual process missed entirely. Built to scale across teams.
Performance data distributed across multiple platforms. Inconsistent formats. Hours of manual reconciliation every week.
Built an automated pipeline that pulls data from all platforms, normalizes inconsistent formats, and generates performance insights — replacing weekly manual workflows.
2+ years of performance data analyzed in hours, not weeks. Uncovered the actual problem: the content had never built an organic audience. Reframed the strategy from recovery to first-time growth.
Content downloads were in decline. Leadership needed a recovery plan.
Deployed AI to analyze 2+ years of cross-platform performance data — analysis that would have taken a team weeks of manual work. The finding: the content had never established an organic audience base. Reframed the entire strategic approach from recovery to first-time audience development.
Automated hours of production labor: transcript searching, tagging, paper edits, music sourcing. Recovered that time for strategic and creative decision-making.
55 transcripts. 120+ quotes to evaluate, structure into a 5-act narrative, and produce. Multiple music tracks to source. One-person team.
Built AI tools to handle operational production tasks: transcript search, quote organization, music prompting, metadata tagging. What remained was the strategic and creative work: selecting 26 quotes from 120+, shaping the narrative, editing the final product.
The final chapter takes this principle to its furthest conclusion.
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