Operator-level consulting for revenue strategy, sales operations, and organizational design.
Zones of Work
Designing AI setups that actually work — agent architectures, workflow automation, custom tool development. I build the systems, define the permissions, wire the integrations, and make sure the output is trustworthy before it touches anything real.
Go-to-market design, pricing models, channel strategy. Building the machine that generates revenue — not just the plan that describes it.
Restructuring teams, redefining roles, rebuilding trust. Turning around underperforming orgs by fixing the system, not blaming the people.
Ongoing counsel for founders and executives navigating inflection points. Board prep, investor narratives, M&A readiness, operating model design.
About
I've spent twenty years watching the same problems repeat across very different organizations.
At Google, the revenue machine was enormous but the signal got lost in the scale. At The New York Times, the challenge was turning a century of editorial trust into a modern revenue model without destroying what made it valuable. At MoMA, the question was whether cultural prestige could coexist with commercial ambition.
The problems looked different on the surface. Underneath, they were the same: misaligned incentives, unclear ownership, revenue strategies that described intent but didn't produce outcomes.
Then came Sonicbids. Full P&L ownership. Six-month turnaround window. I rebuilt the revenue engine, kept it profitable for a decade, and arranged the exit.
That's what I bring now — the pattern recognition from world-class brands, pressure-tested by a decade of personal accountability.
Engagement Models
01
Ongoing strategic counsel. Regular sessions, async access, and a trusted outside perspective for founders and revenue leaders navigating complex decisions.
02
Focused, time-boxed engagements around a specific challenge. Diagnostics, design, and a deliverable you can execute on — typically 4 to 8 weeks.
03
I join your team as a fractional operator. Hands on the work, in the meetings, accountable for outcomes. For turnarounds and builds that need sustained presence.
AI That Works
The kind of work that pays for itself in the first month.
I lose jobs because I can't get back to people fast enough. I'm on a roof — I can't answer the phone.
Instant lead capture and qualification across phone, web, and SMS. Every inquiry gets acknowledged in under a minute, pre-qualified against your service criteria, and routed for follow-up.
I spend hours every week answering the same questions — hours, menu, reservations, parking.
A trained assistant that handles every inbound question across phone, web, and social — accurately, 24/7, in your voice. Escalates edge cases to you cleanly.
I write the same listing descriptions over and over. Each one takes 45 minutes and they all sound the same.
Feed it property details and photos. Get a polished, unique listing description in 30 seconds — MLS-ready, SEO-aware, tuned to your voice. Bulk mode for portfolio agents.
Every proposal takes me half a day. Half of them don't close. That's a lot of wasted Saturdays.
Proposal generator trained on your past wins. Input the scope, get a draft in your format with your pricing logic and positioning language. Review, refine, send.
I don't know which customers are about to leave until they're already gone.
Early warning system that reads churn signals across your existing data — billing patterns, support tickets, engagement drops — and flags at-risk accounts weeks before they cancel. With recommended saves.
I'm sitting on a year of sales data but I have no idea what it's telling me about what to stock next.
Demand forecasting from your own sales history, seasonality, and trend signals. Know what's about to sell out, what's dead inventory, and what to order — before you feel it.
My Google reviews are a mess. Some need responses, some are fake, and I never have time to deal with it.
Automated review monitoring, draft responses in your tone, fake review flagging, and a weekly reputation summary in your inbox. You approve, it posts.
Onboarding a new client takes two weeks of back-and-forth before we can start actual work.
Automated intake flow: collects info, generates the kickoff doc, sets up project structure, and schedules the first meeting. Client-facing, brand-consistent, and auditable.
On Security
Security is on everyone's mind. It should be.
Cybercrime is accelerating. Bad actors are more sophisticated. And most people — and most organizations — have far more vulnerabilities than they realize. Open ports they forgot about, tokens that never expire, flat networks where a single compromised device means everything is compromised.
I run my own infrastructure across home and work environments. The way I've built it starts from a simple premise: assume the perimeter will be breached, and design so that it matters less when it is.
Three principles guide every decision.
01
Segmented networks. Isolated environments. Clear boundaries between personal, work, and client data. Each context has its own space, and they don't bleed into each other.
02
Every tool, agent, and service is scoped to the minimum access it needs to function. Every API key, every service account, every integration. If it doesn't need write access, it doesn't get write access.
03
I don't store what I don't need. Logs rotate. Credentials expire. Client data has a defined lifecycle — when the engagement ends, that data goes with it.
This is how I actually run things, not a policy document. When I work with client systems, I apply the same discipline.
Contact
I'm always open to a conversation — whether you have a defined problem or just a hunch that something isn't working.
No pitch decks required.