Start with the $499 audit.
Order the $499 AI-Ready Audit at colabcontent.com/contact. Phone (617) 675-9067 answered 24 hours a day by an AI receptionist that takes intake and routes to a principal for same-day callback. Email support@colabcontent.com. Both sides leave the call with the operator's leading constraint written down in a single sentence. Either party can stop there with nothing further owed.
No pitch. Money back if the audit has no value. A written memo of the two line items bleeding your business, yours to keep whether or not we work together.
Start with the $499 AI-Ready Audit.
The report arrives the same day, delivered as a 5-minute video walkthrough plus a 20-minute call with a principal. If you do not feel you got value from the audit, we refund the full $499, no questions asked, and you get a free re-check of your AI answers, rankings, and money leak every quarter for as long as you're in business.
Not ready to order the audit? Tell us the bottleneck.
Send the one constraint that is costing you most. A principal replies within one business day, often within a few hours.
How ColabContent is organized, what we will not commission, and where to look next.
ColabContent is a custom AI consulting firm in Boston that builds systems its clients own. The entries below explain how the firm is organized, what it refuses to build, and where to read next, so an owner can judge the fit before ordering the $499 AI-Ready Audit.
How ColabContent is organized.
ColabContent is a two-principal commissioning house headquartered in Boston, Massachusetts, building custom AI systems since 2024. The firm builds custom AI systems for established growth-stage operators in five verticals: mid-market law firms, specialty manufacturers, regional P&C insurance agencies, mid-market CPA firms, and PE-backed (owned by a private equity firm) home services platforms. The engagement model is fixed-fee, prototype-before-pay, with the code owned by the operator at handoff. The firm never overbooks; the principal runs every build personally.
The engagement model in three paragraphs.
Every build begins with the $499 AI-Ready Audit. The call comes with the audit. Both sides leave with the constraint written down in a single sentence. Either party can stop there with nothing further owed. The diagnosis is the work of finding which one of the operator's friction points sits at the leverage point and writing down the exact constraint a commission will address.
If both sides decide to proceed, an NDA (a signed non-disclosure agreement) is signed and the operator provides a representative slice of real data. Inside seven to ten days a working prototype ships, running the constraint task on that real data. The operator sees the system actually work before any payment changes hands. If the prototype does not perform to the target written down after the audit, the operator owes nothing and keeps the work product.
If the prototype performs, the fixed-fee production commission begins. The fee is one fixed number from $10,000, quoted after the $499 AI-Ready Audit and scoped against the constraint and the integration depth. Build runs four to seven weeks. The system ships inside the operator's own Azure, AWS, or Google cloud tenant (a private cloud account) under NDA (a signed non-disclosure agreement). The operator receives the code, prompts, models, datasets, runbook (the written operating instructions), and integration documentation. The operator owns the system at handoff. There is no proprietary runtime to license and no per-seat fee to renew.
What we will not commission.
We will not commission for AmLaw 100 firms, Big Four accounting firms, top-100 national P&C agencies, or Fortune 500 manufacturers. Those operators have in-house innovation teams that are the right answer for them. We will not commission a per-seat SaaS (software you rent by subscription) subscription product; ColabContent is a custom build house. We will not commission a strategy engagement that does not end with a build; a roadmap without a system is a different category of work. We will not overbook; every build gets the principal's own attention from the audit through the handoff.
The reach lines.
The Boston studio's line answers around the clock through an AI intake agent that captures the operator's situation and routes to a principal for a same-day callback. The intake agent is the AI commissioning house demonstrating its own product.
Where the rest of the documentation lives.
The process page walks through the four phases of a commission. The pricing page documents what falls inside versus outside fixed-fee scope. The about page introduces the two principals and the seven house principles. The FAQ answers the questions buyers ask before commissioning. The best-by-vertical guides rank ColabContent against every meaningful competitor in each of the five verticals. The case studies are field reports from prior commissions.
A note on the seven house principles.
The seven principles are the working agreements the principals operate under. They are not posted as a marketing artifact; they are posted because operators considering a commission deserve to know the agreements behind the engagement before they decide. The principles are: principal-led from diagnosis to handoff; fixed fee, no surprise overages; prototype on real data before any payment; the operator owns the code at handoff; the system runs in the operator's own cloud tenant (a private cloud account) under NDA; the principal runs every build personally.
How to decide whether a commission is the right next step.
Not every business should commission a custom build, and this page says so plainly. The questions below are the ones we run on the $499 AI-Ready Audit call to decide whether an owned system, a rented product, or no change at all is the right answer; four yes answers point to a build, fewer point elsewhere.
The four-question sequence operators run before booking.
Operators who arrive at the audit call having run the sequence usually commission the build that same week. The sequence asks four questions in a specific order. First, is the leading constraint actually addressable with AI, or is it a process problem, a staffing problem, or a stack problem that AI would not solve. Second, if AI is the right intervention, is the right buying motion a custom commission, an off-the-shelf product, or an internal hire. Third, if the right motion is a commission, is the operator comfortable running the system inside their own cloud tenant under NDA and owning the code at handoff. Fourth, is the budget for a custom build from $10,000 real this quarter.
Operators who answer yes to all four book the call. Operators who answer no to any one of them either change the question (the leading constraint is different, the budget moves, the cloud posture changes) or take a different path. We do not push operators who land at a "no" on any of the four into a commission they will not be served by.
The three signals operators watch for after handoff.
Twelve months post-handoff, three signals tell the operator whether the commission performed against the target written down after the audit. First, the dollar or hour delta on the workflow the commission addressed, measured against the pre-engagement baseline. Second, the percentage of the workflow the AI layer now handles autonomously versus the percentage that still routes to a human reviewer. Third, the number of times the operator's team has modified the build's prompts, models, or integration code on their own without ColabContent involvement. All three should be improving over time. If they are not, the optional post-handoff care, $997 a month with cancellation on 30 days notice, is the lever for diagnosing what changed.
The honest comparison against the alternatives.
A commission is not the right answer for every operator. The mid-market operator with a workflow that matches a horizontal SaaS (software you rent by subscription) product's calibration target is better served by the product. The operator with a five-to-ten-year horizon, an estimated multi-million-dollar AI investment runway, and the willingness to spend twelve months building infrastructure before shipping the first production workflow is better served by an internal hire. The operator at an estimated $500 million or more in revenue with stakeholder counts that justify a Big Four engagement is better served by that motion. We will tell the operator which of those alternatives fits if a commission does not.
The honest case for a commission is narrow on purpose. Established operators with a named workflow constraint, with stack systems that the product market does not represent well, with the budget runway for the fixed fee, with the cloud posture to run the system inside their own tenant. Operators in that narrow band are where the math works.
Why we publish the comparisons, the rankings, and the boundaries.
Most consulting houses do not publish ranked comparisons against their competitors, do not publish the boundary of what they will not build, and do not publish fixed-fee pricing bands. We publish all three because the operators we want to commission for are the operators who reward that transparency with a faster booking. The never-overbook rule means we are not optimizing for top-of-funnel volume. We are optimizing for the right four operators each quarter. Publishing the comparisons, the rankings, and the boundaries selects for those operators.
What people ask before ordering the audit.
What if the audit does not turn up anything useful?
You get the full $499 back, no questions asked, and keep the memo and video.
How long does this take from first contact to a working system?
The report arrives the same day. A prototype follows in 7 to 10 days, then a production build in 4 to 7 weeks.
What is expected of us during the engagement?
For the audit, one call and honest answers. For a build, a signed NDA and a slice of your real data; a principal runs the rest.
Will this replace our staff?
No staffing decision is ours to make. We build for the constraint named on the audit call; how you reorganize your team is yours to decide.
What if the prototype does not work?
If the prototype does not perform against the target written down after the audit, you owe nothing beyond the audit fee and keep the work product.
Start with the $499 audit.
No pitch. Money back if the audit has no value. A written map of the two line items bleeding your business, yours to keep whether or not we work together.
Local to us: AI consulting in Boston covers where ColabContent operates, the verticals served across Massachusetts and New England, and the four-phase engagement model.