A routing model
Nobody had checked the old model against what was achievable, and it hadn't been rebuilt in years. The new model sets daily routing configuration.
Revenue analytics and decision systems
Before a number drives a decision, I check it against the raw data.
For close to ten years I've built analytics at Moody's, Morgan Stanley, HomeServe, and now National Debt Relief, mostly for lead routing, agent performance, and compliance. At each job I pull the raw data before I trust the summary. Outside the day job I build software with AI coding agents, run an AI automation practice for small businesses, and keep a live model ready for my next small business acquisition.
Now: Revenue Analytics Manager, Data and AI, at National Debt Relief
Close to ten years in analytics, most recent first.
2025to present
I run analytics for sales and operations and use ChatGPT Enterprise and Claude Code every day. I built the lead-routing model that sets daily routing configuration and the compliance monitor that checks dial timing in all 50 states.
2024to 2025
I owned forecasting, monthly reporting, and the budget for a subscription business. I built an Excel validation tool with an LLM behind it and cleaned up the Alteryx and Dataiku pipelines that fed Tableau and Power BI.
2020to 2023
I rolled out self-service Tableau reporting, and centralized teams used it in place of one-off requests. I wrote the SQL that automated revenue-cycle analytics for senior leadership.
2015to 2020
I led a Six Sigma project that improved operational efficiency by 50%. I delivered SOX and Dodd-Frank regulatory reporting and ran a firm-wide access program to 100% adherence.
What I work in: SQL (Snowflake), Python, R, Sigma, Tableau, Power BI, Git and MCP.
Four times the summary said one thing and the raw data said another.
Nobody had checked the old model against what was achievable, and it hadn't been rebuilt in years. The new model sets daily routing configuration.
So it missed the exact failures it was built to catch. I rebuilt it on the right timestamp, and it now flags potential violations in every state we call.
Contact rates dropped in every group halfway through the test, so the strategy was not what changed. Many of the numbers we dialed were flagged as spam before anyone picked up.
Sellers show you the number they want you to see. The real number is in the raw statements, so I asked for them.
Work outside the day job. Some of it is live, some is still being built, and one is a deal I walked away from.
A book
A hardcover book about the day a child was baptized, with the child's name in the story.
Workfile software for residential appraisers, built on PostgreSQL and PostGIS to the MISMO 3.6, UAD 3.6, and USPAP standards. It handles comp justification, adjustment rationale, and automated QC flags.
Live and still being built, with inbound interest from appraisers.
propertyappraiserpro.comZoning lookup across 870,000+ NYC parcels. A feasibility check takes minutes instead of days of manual research.
nyrezone.comAn AI automation and lead generation practice for small businesses in Westchester and NYC, using the same workflow audits I run at larger companies. Its free starter kit, Main Street MCP, lets a business's AI assistant answer from the business's real information.
Early, pre client.
Get the free starter kitA YouTube channel of long-form ambient and lofi mixes, produced end to end with an AI music pipeline.
Listen on YouTubeI ran full financial due diligence on a family-owned retail business. That meant a proof of cash against raw statements, normalized seller's discretionary earnings, a twelve-month cash flow model across financing structures, and a lease risk analysis. The lease is why I walked away.
Passed at the negotiated terms. The model is ready if better terms come back.
What I built for my own work with AI, then the AI tools I use and what I've done with each.
My always-on assistant for research, scheduled jobs, and project tracking, built on the OpenAI, Gemini, and ElevenLabs APIs.
ainsley on GitHubThe structured knowledge base I use to work with LLMs day to day.
neuron on GitHubThe Claude Code skills I use in my own work.
Download the skill libraryA .zip file, no signup.
A directory of MCP servers for legal work, with its own MCP endpoint.
legalaimcp on GitHubAn MCP server that answers subscription revenue and churn questions from RevenueCat data.
revenuecat-mcp on GitHubWhat I've done with each one. Where the work is public, the link goes to it.
Every decision has a constraint someone already knows, like a budget, a floor, or a deadline. It usually comes out halfway through the analysis. I ask for it first, so options that were never available stop taking time.
When the data doesn't support the case, I say so before anyone builds a slide around it. Then I show the closest real example, because a real example holds up when someone checks the work.
I run revenue analytics at National Debt Relief. Outside work I'm building Property Appraiser Pro and the NYClaw starter kit, and I'm helping a friend who runs an electrical business put AI on his phones. It answers inbound calls, books appointments, sends notifications, and answers common questions about estimates. I'm still looking at small business acquisitions, and I still walk away when the terms don't work.
The best way to reach me
gbrussich52@gmail.comI post longer write-ups on acquisitions, analytics, and building with AI on LinkedIn.
Seven Claude Code skills I use in my own work: single-use data dashboards and autonomous-loop briefs, multi-agent workflows, landing-page conversion audits, AI-search visibility, brand strategy, Supabase error fixes, and last-30-days research. It's a .zip file with no signup.
I'm the Revenue Analytics Manager for Data and AI at National Debt Relief, where I built the lead-routing model and the 50-state compliance monitor described on this page. Before that I worked in revenue management at HomeServe, strategy analytics at Morgan Stanley, and operations at Moody's. Outside work I build Property Appraiser Pro for real estate appraisers and run NYClaw, an AI automation practice for small businesses.
Property Appraiser Pro (workfile software for real estate appraisers), NYRezone (zoning lookup across 870,000+ NYC parcels), NYClaw (AI automation for small businesses) and its free Main Street MCP starter kit, LegalAIMCP (a directory of MCP servers for legal work), The Slow Pour (an AI-produced ambient and lofi YouTube channel), and Storied & Blessed (a hardcover baptism book with the child's name in the story).
Claude Code, Claude, OpenAI Codex, Grok Build, Grok Bot, Grok Voice, OpenClaw, Muse, ElevenLabs, and Suno. The Tools section on this page says what I've done with each one and links to the public work.