Power BI dashboard analysing tutoring business revenue, cancellations and operational risk.

Enterprise Revenue Operations Intelligence Platform with predictive risk assessment, real-time deal monitoring, and AI-powered recommendations. Built with Next.js 16 Server Components, TypeScript, and Prisma. Detects silent deal decay through multi-signal risk scoring, automated intervention alerts, and comprehensive pipeline analytics.

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B2B AI product work around revenue-signal intelligence and contextual analytics.

Summit53 MCP Server — 48 revenue intelligence tools for AI assistants. Connect Claude, Cursor, Windsurf, or any MCP client to your CRM.

Revenue-aware pipeline that converts meeting transcripts into Jira tickets -- auto-escalating priority when at-risk enterprise clients are mentioned. Pydantic-validated, Codespaces-ready.

Contract intelligence platform with RAG-powered Q&A, risk scoring, churn prediction, and revenue optimization. Built with FastAPI + React.

A directional sensitivity analysis for Fortune-200 capital allocation discussions. Cost takeout vs. revenue intelligence.

Revenue intelligence MCP server: RFM analysis, 14.5-point ICP scoring, pipeline health scoring. Embeds Artefact Formula methodology. HubSpot integration.

End-to-end business intelligence pipeline built on the UCI Online Retail II dataset. Covers Python-based data cleaning, SQLite analytics in DBeaver, and a four-page Power BI dashboard featuring cohort retention analysis, RFM segmentation, and revenue trend intelligence.

Public profile README and artifact index for Gary Rikard’s enterprise AI strategy, workflow economics, and control-plane architecture work.

A customer intelligence and revenue analytics project focused on identifying customer retention risks, revenue concentration, and growth opportunities using cohort analysis, segmentation, customer economics, and strategic business dashboards. Built with Python, Power BI, DAX, and commercial analytics methodologies.