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.

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

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

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

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

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

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.