/market-frame — Forward-deployed advisory

Commercial strategy for companies building what's next.

Most companies don't fail on product. They fail on the gap between what they built and how the market understands it, or between what leadership decides and what the organization actually runs. Market Frame works in that gap (and everything we build or run stays yours when we leave, easier to run than it was before we got there).

Start with a conversation How it works

The plan — Market Frame — The business

market-frame / fig-01 — the execution gap. Most strategy stalls somewhere between the deck and the P&L. Market Frame works in that gap.

01 — Thesis

Most strategy never makes it into the business.

The plan usually isn't the problem. What kills it is everything downstream: no one owns the follow-through, the organization isn't built to run it, and nobody's accountable for the gap between the deck and the P&L.

The bottleneck has moved from strategy to execution. We work there, but the goal was never to stay indefinitely (it's a system your team can run without us).

The vast majority of enterprise AI pilots produce no measurable impact on profit and loss.

MIT — study of 300 enterprise AI deployments

The proving ground

Market Frame comes out of a working practice, not a methodology. Behind it sits an applied lab (our own ventures) where we build and operate the same revenue systems, agents, and organizational structures we end up recommending to clients. Everything we propose has run on our own dime first, which tends to change what you're willing to recommend.

Running these systems daily is also where the judgment comes from. Most workflows don't need AI, some genuinely do, and telling the difference is most of the job. We consider "don't build this" a legitimate deliverable.

02 — How we work

Three ways to work with us.

Some companies want a standing advisor. Some need an experienced operator in the seat for a defined stretch. Some just want something built. Plenty end up wanting more than one. The build path always starts with an audit rather than a pitch:

Commercial Systems Audit · 2 weeks · fixed fee

Diagnose before anything gets built

We sit with the people who run your commercial operation and map where growth is actually breaking down — positioning, pipeline, process, or automation. You get a working document you can act on with or without us, credited in full toward whatever comes next.

Advise or Operate · ongoing

The judgment, or the hand on the wheel

Some findings call for a standing advisory seat. Others call for an experienced operator embedded for a defined stretch — a launch, a transition, a gap before a permanent hire.

Build · scoped by the audit · fixed fee

Designed in the audit, built inside your environment

Connected to the systems you already run, shaped around how your team actually operates. Progress is visible daily. Nothing gets scoped or priced before the audit says it should.

Systemize · yours to run

A system your team can run without us

Documentation, training, and a clean exit. Advisory is available afterward if it's useful, but the engagement is designed so the next one needs less of us, not more.

Advise· Operate· Audit· Build· Systemize

market-frame / fig-02 — how engagements move. Every door leads to the others, and each one should need less of us than the last. Builds usually end with questions worth keeping an advisor around for.

03 — Advise

The standing seat at the table.

Advisory is where Market Frame started. The retainer is a monthly seat at your table covering commercial strategy and a straight read on where AI fits, from people who use these tools every day.

A.01

GTM & Commercialization — positioning, pricing, packaging, and the commercial motion for what you're bringing to market

A.02

Commercial Operating Systems — pipeline, forecasting, accountability, and reporting: the infrastructure that makes a strategy executable, not just approved

A.03

Strategic partnerships — the deals and channels that change a company's trajectory

A.04

AI strategy — a roadmap that stays honest, including what not to build

Advisory surfaces things worth building or operating. Operate engagements usually end with systems worth building. Builds usually end with questions worth keeping an advisor around for.

04 — Operate

An experienced operator, in the seat.

Some situations don't need advice. They need someone who's done the job before to actually run it for a while, through a launch, a transition, or the stretch before a permanent hire makes sense.

Fractional Executive Leadership

Embedded around a defined commercial mandate — revenue, GTM, or commercial operations. We step into the cadence, own the problem alongside the team, and build the systems required to move it, with a clear scope and a clear end date.

This isn't a standing retainer and it isn't a project. It's us in the seat, accountable for an outcome, for as long as that outcome takes.

05 — What we ship

What an engagement produces.

S.01

Revenue systems

Prospecting, pipeline, follow-up, and reporting automated inside the tools you already run. These are the same systems we operate on our own revenue every day.

Our daily stack

S.02

Integrations

AI connected to the systems that run your revenue: the CRM, the inbox, the reporting stack, and the tool with no documentation that one person understands.

Built as MCP servers — the emerging standard

S.03

Encoded workflows

The AI follows your process, with your approvals, your edge cases, and your definition of done, rather than a generic one.

Agent skills

S.04

The write-up

A record of what we built, what we deliberately didn't, and what the whole thing saves you in hours and dollars.

Yours to keep

06 — Fit

Built for the companies the labs won't staff.

Companies with real commercial complexity: media and ad tech, commerce, hospitality and design, and platform businesses. We've spent our careers in media, data, ad tech, and AI, mostly on the revenue side, so the pattern recognition comes from having done these jobs rather than studied them. Usually the companies we fit are in one of three situations:

F.01

A revenue operation everyone knows is leaking hours or opportunity (follow-up, reporting, pipeline upkeep)

F.02

A commercial function that needs an experienced hand in the seat for a while, not another consultant

F.03

Everyone insists AI, or a competitor, or a new channel will change your industry, but nobody can explain what it means for your business

Either door works: the audit if something needs building, the advisory seat if you want the judgment first, or an operator if you need someone to own it for a while.

07 — The audit

The Commercial Systems Audit.

Two weeks inside the business, diagnosing where growth is actually breaking down: positioning, pipeline, process, systems, accountability, or automation. The fee is fixed and credited in full toward a build, and the document stands alone whether we work together afterward or not. If the honest answer is that AI doesn't belong in a workflow yet, the audit says so.

§1

Executive summary — situation, proposal, outcome. One page.

§2

Current state — visual process maps: every step, owner, and handoff break.

§3

Cost of inaction — your own numbers, in dollars and hours.

§4

Proposed solution — architecture, before/after process maps, specific tools, data flow, security.

§5

Implementation roadmap — phased weekly deliverables, daily demos in shared Slack.

§6

Quantified ROI — hours and dollars saved, payback period. Deliberately conservative.

§7

Investment — build cost, terms, and scope.

§8

Next steps — kickoff timeline.

market-frame / sample — §3, cost of inaction (illustrative)

Inbound lead follow-up6.5 hrs / wk · $14,300 / yr

Weekly revenue reporting4 hrs / wk · $8,800 / yr

CRM hygiene and pipeline upkeep5 hrs / wk · $11,000 / yr

Sample rows, for shape only. Your numbers come out of your own discovery sessions, not industry benchmarks — usually it's worse than anyone guessed.

08 — AI Readiness Track

A practical first step into AI.

Not every business needs a commercial systems overhaul. Sometimes you just need someone who knows this space to walk in, tell you plainly what's worth doing, and help you do it. Market Frame runs a separate, lighter-weight track for established businesses — local, traditional, owner-run — taking their first real step into AI.

Start here

$3,000–$5,000

AI Opportunity Assessment + Roadmap

A working session (or two), followed by a written report: what's worth implementing first, in what order, and what it saves you. Not a tool list — a sequenced plan.

Ongoing

Monthly

Ongoing Advisory

A couple of calls a month, turning manual processes into working systems over time. No standing team required.

Fixed fee

Project

Project Engagements

A specific fix: one broken workflow, one automation, one system that gets a person out of repetitive work.

The assessment is always the starting point. It tells us, and you, what's actually worth doing next.