Services
Every engagement starts with understanding the work — what is actually broken, where time and attention are being consumed, and what a useful outcome looks like. From there, the right service depends on what the company actually needs — senior judgment alone, or judgment plus the specialists to build it.
AI makes it possible to move faster, but speed alone does not solve the problem. A broken workflow with AI becomes a broken workflow that produces more busywork. A poorly understood customer problem becomes a more polished version of the same confusion.
The work starts before the tooling. We identify where time, money, and attention are being consumed, clarify what outcome the workflow is supposed to produce, define what should and should not be automated, and design the system around the business value.
The result is not an AI demo. The result is a practical workflow that reduces friction, improves decision-making, creates leverage, and can be used by the team.
That plan comes with enough detail to hand to your own team, a contractor, or an agency — and where useful, includes coordinating that build directly rather than just handing over a document.
In one operating environment, the real pain wasn't a lack of dashboards. Important decisions required someone to manually pull context from ecommerce systems, inventory tools, spreadsheets, and support history before they could act. That's the kind of workflow where AI helps — not as a bolt-on chatbot, but as a governed system that assembles context, flags exceptions, drafts next actions, and keeps a person in control of the final call.
Many companies do not suffer from a lack of ideas. They suffer from a lack of translation. The founder sees the opportunity. The team sees the tasks. The customer feels the pain. The technology has constraints. Someone has to turn all of that into a clear plan — and make the tradeoffs, sequencing, and architecture calls that plan depends on.
This engagement covers both sides of that gap: clarifying the problem, shaping the product, and building the operating cadence to move from idea to execution, alongside the architecture review, build-vs-buy decisions, and engineering process design that keep the technical work aligned to business value.
For founders and leadership teams that need senior product and technical leadership without hiring a full-time executive. Most of this work happens alongside an existing technical co-founder or engineering lead, not instead of one — the goal is more leverage for the team already there, not a replacement for it.
This includes coordinating whoever actually builds the software — your engineers, contractors, or an outside team — not just producing a roadmap and stepping back.
In a growing business running custom internal software, the hard part wasn't building features. It was translating operational needs into product priorities, keeping the technical roadmap connected to how the business actually made money, and owning calls like build-versus-buy and platform sequencing that no one else was positioned to make.
Founders become the operating system for the company. They hold the context, make the decisions, connect the dots, remind people what matters, and absorb the ambiguity. This works — until it doesn't.
This engagement helps move that context out of the founder's head and into systems: roadmaps, workflows, operating cadences, decision frameworks, team ownership, financial visibility, and execution rhythms that the team can run without constant founder involvement.
The result is a founder who has leverage instead of load, and a company that can operate with more clarity and less dependence on individual heroics.
For pre-seed and seed-stage companies in the middle of raising, this can also work as a reduced-cash, partial-equity engagement — worth raising in the first conversation.
A common founder problem: the vision is compelling, but too much of the product logic and prioritization still lives in the founder's head. The leverage comes from turning that into a clear product plan, technical path, and operating rhythm — so the team can move without the founder clarifying every step.
How we work together
Model 01
Starting at $6,000
A focused engagement to understand a workflow, product problem, or technical challenge and produce a clear recommendation. Typically two to four weeks.
Model 02
Starting at $10,000
A practical planning engagement that prepares a company to build or deploy AI-enabled workflows or software systems. Typically four to six weeks. Best for companies with in-house people who will do the actual build but need senior leadership shaping the plan.
Model 03
Starting at $20,000
Everything in Implementation Planning, plus hands-on execution — coordinating the specialists needed to actually build and deploy the system, not just plan it. Best for companies without the in-house capacity to execute the plan themselves.
Model 04
Starting at $6,000/month
An ongoing engagement stepping into a product, technical, or operational leadership role for a defined period. Monthly retainer, typically three to six months minimum. For pre-seed and seed-stage companies mid-raise, can also be structured as reduced cash plus equity.
How work gets done
Most engagements need more than strategic judgment — they need real execution: development, data analysis or engineering, cybersecurity review, or other niche technical work. Rather than leaving that to the company to source and vet separately, I bring in trusted specialists from my own network — people I've worked with before and would stake the engagement on — coordinated directly as part of the work. The company gets the right skill for the specific problem, without managing a separate hiring or contractor search.
Questions worth asking
Every engagement starts with a Diagnostic Sprint or an initial conversation before anything longer-term begins. If the workflow doesn't justify the investment, or the fit isn't right, that gets said plainly — not stretched into a longer engagement that doesn't serve the business.
Both. Some engagements end in a plan detailed enough for your own team, a contractor, or an agency to execute. Others include coordinating that build directly. Which one fits gets decided early, not assumed.
Conversations and materials shared during an engagement are treated as confidential by default. If a formal NDA is needed before a first conversation, that's a normal, quick step — just ask.
No. Most engagements happen alongside the technical leadership already in place, not instead of it. The goal is more leverage for that person or team, not a replacement for them.
Diagnostic Sprints start at $6,000. Implementation Planning engagements start at $10,000. End-to-End Implementation starts at $20,000. Fractional Leadership retainers start at $6,000/month, with the exact rate depending on time commitment and scope.
In select cases — particularly pre-seed or seed-stage companies in the middle of raising, where cash is the tightest constraint — yes, structured as a reduced cash rate plus equity, not equity alone. Terms depend on stage and scope, and that's a first-call conversation, not a standard package.
Most engagements are with founder-led companies, growth-stage teams, and established companies where one person has been handed a product, technical, or AI mandate. The common thread isn't company size — it's real complexity that hasn't been turned into a system yet.
Start with a conversation. Most engagements begin with understanding what is actually going on before deciding how to structure the work.