Two rounds of market research, synthesized for the team. Where the AI consulting lane is open, what our buyer is actually asking for, and how Track C is designed as a deliberate on-ramp to the full QuantumGrowth framework.
The AI strategy/build-out market is bifurcated. Strategy-deck people don't build. Build-shop people don't think strategically. The empty middle — operator-credible strategists who personally lead build engagements for $1M–$10M businesses — is structurally open.
Our buyer is already there. Hampton data: 89.6% of founders implementing AI, 33% with $100K+ AI budgets. They are not under-invested. They are under-architected. They have paid the tuition and are asking the structural question our IP was built to answer.
Track C is not a separate ICP play. It is QuantumGrowth's leading-edge expression, scoped to ship value in 4–12 weeks via AI build-out, with structural ascension to deeper work built in.
Frameworks, vocabulary, executive comfort. Free or enterprise-priced. Don't build.
Allie K. Miller · Cassie Kozyrkov · Ethan Mollick · Fractional CAIO title tier
Operator-credible strategists who personally lead build engagements at the $1M–$10M tier. Almost nobody is here at scale.
Closest comp: Jonathan Lasley · Every Consulting (Dan Shipper)
Workflows, agents, integrations. Trained by Liam Ottley and Nick Saraev. Commoditizing fast. Race to the bottom.
Morningside AI grads · LeftClick AI grads · the n8n long tail
The buyer doesn't need an AI strategist or an AI builder. They need someone who has run a business, can ship the system, and understands why their team won't use what gets built.— Synthesis, Round 1 Research
| Service Type | Market Range | Where Our Plan Sits | Verdict |
|---|---|---|---|
| Marketing-agency audit | $1,500 – $3,000 | Below us | Signals "lead magnet" not real consulting |
| Starter AI audit (real consulting) | $3,000 – $10,000 | $3,500 sits here | Market-rate. Room to grow to $5K with social proof. |
| SMB build-out ($250K–$1M buyer) | $10,000 – $25,000 | Where v1 was anchored | Underpriced for our stated $1M–$10M target. |
| Operator-tier build sweet spot ($1M–$10M) | $50,000 – $150,000 | Where the buyer actually transacts | The real market for our buyer. |
| Fractional CAIO retainer | $5,000 – $25,000 / mo | Track C retainer SKU | Highest-leverage 2026 line for this buyer. |
| Enterprise readiness assessment | $15,000 – $50,000+ | Above us | Different buyer. Not relevant. |
Named at enterprise (Hackett) and in training products (SSGI). Absent in operator-facing AI consulting. When connected to AI ROI measurement — not generic process improvement — this is genuine wedge territory.
Every AI shop claims it. Runpoint, Pythian, LeewayHertz, Markovate, the n8n long tail. Credibility varies but positioning is uniform. Gets us in the room. Does not differentiate alone.
A real cluster has staked agency-land: 8 Figure Agency, GrowthMarketer, Chris Wiser. Tony's credibility is real, but the lane is partially occupied. ICP specificity matters — professional services and expertise-driven firms are more open.
Every adoption article cites people-side failure (~80% of AI failures, ~95% see no ROI). Almost no one in this market has a credentialed framework to address it. Zero AI consultants found leading with depth-psychology rigor. This is the deepest moat.
"The AI strategist who has actually scaled a business, can build the system himself, runs it through Six Sigma discipline so the ROI is measurable — and gets why your team won't use it, at the level of identity, attachment, and resistance, not just 'training and comms.'"
The buyer is not asking "what is AI?" They are asking "why didn't my AI work, and what is the architecture I am missing?"— Synthesis, Round 2 Research
Track C cannot be sold to anyone who wants AI. It must filter for the QG-fit buyer from the landing page through the audit. Selection at the top of the funnel does more work than conversion at the back.
Practically: the landing page, audit screening, and outreach messaging all calibrated to attract scaling operators with structural ceiling problems — using QG vocabulary, addressing the founder bottleneck, signaling depth orientation. The buyer who arrives for "tactical AI build" is the wrong fit and must self-deselect.
Fields' rule: tell the client at the outset that this engagement is an appetizer. The build-out is framed as a diagnostic of the operator's scaling problem, not as a deliverable.
The audit isn't "we'll figure out what AI you need." It's "we'll diagnose your scaling architecture, with AI as the leading-edge intervention." This is what separates Track C from the broader AI build-out market.
Like the V/TO in EOS, the engagement must produce findings the client cannot resolve without the deeper QG framework. AI build-out is uniquely well-suited to this — the team, ownership, and workflow gaps it exposes are SCALE-phase problems (especially Phase 2 PROBE and Phase 4 SERVE).
Embed a structural 90-day review into the engagement that surfaces what the build-out couldn't fully resolve. The bridge to QG emerges from the work's own findings, not from a sales pitch at the end.
Track C is not a separate business. It is a new doorway into the existing business — same IP, different vehicle, different price point. StoryBrand-style.
The macro environment, buyer vocabulary, failure-mode evidence, and diagnostic territory all converge. The buyer is asking — in their own words — exactly the question QuantumGrowth was built to answer. AI is just the leading-edge surface of it.
Plan unit economics so Track C is profitable as a stand-alone offer, with QG ascension as upside, not as the business model. Expected ascension: 20–35%. Even at 65% non-ascension, the offer pays for itself — and the clients who do ascend arrive with much higher trust than cold QG buyers.