We don't advise on AI. We ship it.
Most firms hand you a strategy deck about AI. We embed as an operating partner and build the systems that run the work — live, on a schedule, against your real data, with your judgment kept where it belongs.
3 platforms and 14 agents across 5 business functions.
Every engagement starts with the work that repeats. We map it, build the system that absorbs it, and stay on to run it until it's boring.
Marketing
5 systems- One system powers three parallel weekly briefings
- One operator running a full marketing department across seven platforms.
- Seven campaign funnels, one validated intake layer, zero manual triage.
- Raw video becomes platform-ready posts, scheduled and approved in one pass.
Sales & BD
4 systems- One person running an enterprise partnership program that normally needs a deal desk.
- Discovery notes become a tailored proposal in minutes.
- Cold outreach that reads like it took twenty minutes.
- A success-story transcript becomes a client-ready case study in one pass.
Research & Intelligence
3 systems- Continuous market intelligence that turns fragmented industry news into a structured, queryable dataset.
- An AI agent that researches an entire industry every week, grades its own work, and only asks a human when it isn't sure.
- Prospects researched and ranked before you open their profile.
Strategy
1 system- The follow-through layer between decisions and execution.
Product
4 systems- Raw product ideas become launch-ready concepts in an afternoon.
- A funded engineering team's worth of product, built and run by one operator with AI.
- A calmer task system for people who are overwhelmed by traditional productivity tools.
- A streaming platform for independent film, built and shipped end to end by one person with AI.
Built solo, in production, in twelve months.
No engineering team, no agency, no six-month discovery phase. Every system on this page was scoped, built, shipped and maintained by one operator working directly with the business it serves.
A sample of what's running right now.
Client names withheld. Full build documentation — architecture, screenshots and measured outcomes — is shared under NDA during a diagnostic.
Partnerships & Deal Operations Agent
One person running an enterprise partnership program that normally needs a deal desk.
A $2.95M enterprise pipeline run by one operator instead of a BD team.
AI-Native Platform
A funded engineering team's worth of product, built and run by one operator with AI.
A paid enterprise tier and two accreditation programmes operable by one person.
Product Studio
Raw product ideas become launch-ready concepts in an afternoon.
Product lines pressure-tested and launched that bandwidth would have blocked.
Industry Intelligence Tracker
Continuous market intelligence that turns fragmented industry news into a structured, queryable dataset.
A proprietary dataset that made a paid enterprise tier sellable.
Chief of Staff
The follow-through layer between decisions and execution.
Roughly four hours a week of founder time redirected into selling.
Automated Newsletter Engine
One system powers three parallel weekly briefings — ChiefAI Watch, Firm AI Signal, and The Pricing Shift — each tuned to a distinct audience.
Three weekly channels into 2,500 executive inboxes that did not exist before.
Most AI projects die in the demo. These are load-bearing.
Every system here runs on a schedule against live data with error handling, review gates and a human owner. Seventeen shipped, seventeen still running — because they were built as operations, not experiments.
Systems, not prompts.
A prompt in a chat window is a party trick. These are durable workflows with memory, routing, verification and feedback loops — the parts that take an afternoon to fake and months to actually get right.
AI does the first draft. The founder owns the decision.
Nothing publishes, sends or commits without a human gate where it matters. That is why these survived contact with real businesses instead of getting quietly switched off.
Built into the stack that already exists.
No rip-and-replace. Agents plug into Airtable, Outlook, Slack, Mailchimp, Stripe and the rest — which is why adoption took days, not quarters.
Agent infrastructure
Hyperagent and Claude for scheduled, multi-step autonomous runs — scoring, verification, drafting and write-back against live production data.
Data enrichment and outbound
Clay and OpenAI for prospect research and per-record personalization at volume, feeding CRM and sequencing without a human in the loop.
Full-stack product
Lovable, React, Supabase and Stripe for client-facing platforms — auth, RLS, payments and dozens of micro-tools shipped inside single products.
Systems of record and distribution
Airtable, Mailchimp, Ayrshare, Outlook, Slack, Dropbox, Descript and Google Docs — the operational surfaces the agents read from and publish into.
This is how we embed AI into the next stage of your business.
Everything on this page is live, maintained and measured. The same approach applies to your business: find the work that repeats, build the system that absorbs it, keep the judgment where it belongs.
Figures reflect measured hours removed and revenue capacity created across live client systems, valued at market rates for the work replaced. Full methodology available on request.