The long-form story we tell. This is the spine — homepage, About page, keynote opener, partner pitch, founder LinkedIn essay all draw from here. Four acts. Read straight through and it should sound like one argument, not four bullet points.
v1.2 — locked decisions from founder. We do not describe ourselves as an advisory firm. The protagonist is a mid-market senior leader (no upper-mid-market, no divisional buyers at strategics). The "human × AI synthesis" frame runs through why now and the new way: experience matched by technology, and the most human firm in the age of AI.
Act 1 — The problem
A senior leader at a mid-market company — a CEO, CMO, CIO, CFO, COO, or CHRO under real pressure to ship change — has a plan, a board or owner expecting visible progress this year, and a portfolio of projects that all need to land. The revenue is between $75M and $500M. The headcount is between 200 and 2,500. The decision-maker is in the building, not three layers up.
Then they look at the bench available to help them ship.
The big firms send a partner to the pitch and a team of analysts to the work. The decks are good. The pace is slow. The bill is large. Eight weeks in, they have a steering committee, a workstream tracker, and a slide that says "phase one complete." Nothing has changed in the business. The senior human in the pitch is not the human in the room.
The traditional boutiques are the opposite problem. The people are senior — former CxOs, real judgment, the kind of operator you actually want in the room. But the engagement ends with a memo. The leader still has to find someone to staff the change, run the integration, build the model, harden the security program, rebuild the brand, fix the workforce plan, write the comms. The wisdom shows up. The change doesn't.
A newer category appeared in the last three years: the AI build shops. Fast, technical, fluent in the modern stack. They can stand up an agent, automate a workflow, ship a model in days. But the people in the room have never sat in the CFO's chair the week before close, never owned a brand through a re-launch, never carried a workforce plan through a restructuring, never had to tell a board that the integration was three quarters late. They can build it. They can't decide whether it should be built. The speed shows up. The judgment doesn't.
So the leader does what mid-market leaders always do. They take the work in-house — assign it to a team already running at 110%, watch the plan slip a quarter, and explain to the board, the owner, or the sponsor why the story is moving slower than committed.
That is the problem. Not "we need better outside help." We need outside help that actually changes the company.
Act 2 — Why now
Two things changed in the last twenty-four months, and together they broke the old model.
The work got faster. AI and modern automation compressed the cost of every part of a traditional engagement — discovery, analysis, documentation, code, draft policy, draft training, draft change-comms, creative production, marketing-mix work, workforce analytics, close mechanics, diligence read-throughs. The work that used to take a six-person team eight weeks now takes a senior operator with the right tooling about ten days. The bottleneck moved. It is no longer the analyst hours. It is the judgment in the room.
That shift has a second-order consequence the big firms are still working out. As AI commoditizes the analyst layer, the only thing the buyer is still paying for is the senior human in the room. The firms that get cheaper without getting more senior lose. The firms that get more senior — by keeping a former CxO at the table and putting AI underneath them, not next to them — are the ones the buyer keeps paying for. The thesis Mark Schaefer has been arguing across his work — that the most human company wins in the age of AI — describes exactly the dynamic playing out in mid-market advisory right now.
Capital and oversight got more disciplined. Higher interest rates, longer PE hold periods, tighter family-office budgets, tighter founder-CEO discretion — all of it means a senior leader cannot afford a long engagement that ends in recommendations. The clock is running. Every quarter spent studying the problem is a quarter not spent compounding the answer. The board, owner, or sponsor is asking, "what shipped this month?" — and the consulting deliverable does not answer that question.
Both shifts point in the same direction. The model that wins is the one where the senior operator in the room is also the one shipping the change — because the tooling now makes that possible, and the economics now demand it. Experience matched by technology. Not experience replaced by it.
The old model was built for a world where the analyst was the unit of production and the partner was the unit of judgment. That world is gone. The unit of production is now the former CxO with AI as their leverage, and the firm that figures that out first owns the next decade of mid-market work.
Act 3 — The new way (and the old one we are rejecting)
The old way is partner-leveraged consulting: brand-name partner pitches, analyst army delivers, the deliverable is a deck. We reject it. Not because the firms are bad — they are excellent at the work they do. We reject it because the buyer we serve cannot wait for it and cannot afford to pay for it.
The new way has three commitments.
A former CxO runs the engagement. A former CIO running the CIO engagement. A former CFO running the close-and-FP&A engagement. A former CMO running the brand, demand, and martech engagement. A former CHRO running the leadership-and-culture work. A former COO running the operating-model redesign. The credential is not "expert in"; the credential is "ran the function, under pressure, with the same constraints the buyer is under right now." That is the seniority that produces good decisions fast — and the human the buyer is still paying for in an age when everything else is getting commoditized.
AI is the execution layer. Modern AI and automation are how the work gets done, not a service line we sell and not the thing in the room making the call. AI does the labor; the operator does the judgment. The former CxO decides what to ship; the tooling makes shipping fast. This is the inversion that matters. In the old model, the tooling was thin and the labor was thick. In the new model, the tooling is thick and the labor is one senior operator with judgment. Five-person engagements become two-person engagements. Eight-week phases become two-week sprints. The math changes — across technology, marketing, finance, people, and operations alike.
The outcome is the deliverable. Not a report, not a roadmap, not a steering-committee deck. The deliverable is the change in the business — the integration shipped, the security program defensible, the model in production, the brand re-launched, the workforce plan executed, the close cycle shortened, the interim CxO in the seat, the council operating. Engagements get scoped to an outcome, not a workstream, and we are accountable to the outcome.
This is not "AI plus people." It is one thing. Experience matched by technology. Senior operators executing at AI speed. Pull either half out and the model collapses — judgment without speed is a memo, speed without judgment is a liability. The firm exists at the intersection, on purpose. The right human in the room, equipped with AI speed.
Act 4 — Why us
There are four reasons THG can run this play, and not many other firms can.
The bench is real. Humberto Castillo as CEO, Walt Carter as President — three digital transformations in financial services and 20+ enterprise software implementations on his record — Marty Smith as CGO, Bill Price as CBDO, and 13+ decades of senior-executive experience across the firm, drawn from 50+ executive consultants. These are not partners hired to brand the firm. They are former CxOs hired to run the engagements.
The service surface matches the operator's day. Seven coordinated service lines — Strategic Executive Alignment, Transformation Readiness, Technology / Data / AI, Leadership and Culture, Strategic Transactions, Executive Bench Placement, Cyber and Risk — cover the actual surface of a senior leader's job, whatever function they sit in. A buyer does not have to integrate four outside firms and a build shop. One firm. One principal. One bill.
The councils give us the seat-by-seat signal nobody else has. Six peer councils — Supply Chain, AI Operations, AI Deep Dive, Cybersecurity, Emerging CIO, Identity Management — meet with the operators in our network. We are not reading what mid-market CIOs and CISOs are doing. We are convening them. Two of those councils — AI Operations and AI Deep Dive — give us the most current signal on what AI is actually shipping in production at peer organizations.
Executive Bench Placement is part of the same firm. If an engagement reveals that the company needs an interim CIO for nine months, an interim CFO through close, a CMO through a brand re-launch, or a CHRO through a culture reset — the same firm puts a former CxO in the seat. Same bench. Same accountability. Same data room. The continuity is not a coincidence; it is the design.
What changes when you work with us
This is the part the senior leader repeats to their board, owner, or sponsor.
- The first sentence of every engagement is, "this is the former CxO who ran this function before, and they will run the work."
- The unit of progress is not the steering-committee meeting — it is the thing that shipped this week.
- AI and automation compress the discovery, the analysis, the documentation, the code, the creative, the modeling — so the operator's judgment is what the engagement costs you, not the labor under them. AI does the labor; the operator does the judgment.
- When the engagement ends, change actually gets made — in production, not in a slide. And if the seat needs a body in it for nine more months, the same firm puts a former CxO there.
That is the offer. Senior operators. AI-speed execution. One firm.
Tone-of-voice notes for whoever writes from this
- This narrative is intentionally written the way a senior operator would say it on a sales call. Operator-direct, no buzzword soup. If a line sounds like a brochure, rewrite it.
- The enemy is named (the slide-deck-with-junior-analysts model and the AI-without-judgment model). Do not soften that. The contrast is the point.
- The phrases that must survive any rewrite are "former CxO," "AI-speed execution," "one firm," "experience matched by technology," "AI does the labor; the operator does the judgment," and the punchline "change actually gets made." Cut around them; do not cut them.
- The numbers to keep saying: 13+ decades of senior-executive experience, 50+ executive consultants, 7 service lines, 6 councils. The named operator to keep saying is Walt Carter — three digital transformations, 20+ enterprise software programs. Those are the receipts.
- "Veteran" never means military here. When the noun would be ambiguous, use "former CxO," "senior executive," or "operator with C-suite tenure."
- Banned as our self-applied category: "advisor," "advisory firm." Banned as our service-line label: "fractional." Descriptive uses (e.g., "advising a CFO," "the fractional CIO market") remain fine. The firm name "THG Advisors" stays in copy for now; do not lean on it to make a category claim.