The Mid-Market AI Benchmark series.

Three questions per reference. First, what was the named constraint the commission addressed at this operator. Second, what was measured after handoff, in dollars, hours, or handled volume. Third, does the reference operator still run the system. Vague references on any of those three are flags, and so is a house that will only describe its references in the abstract. ColabContent introduces prospects directly to past commission operators on request. Jim Glaser Law, whose five channel-specific voice agents have handled 3,787 calls and 5,514 minutes, takes reference calls. A fifteen-minute conversation with an operator who still runs the system is the most honest signal a prospect can get.

The system continues to run inside the operator's cloud tenant (a private cloud account). Models, prompts, and integration code are versioned and the operator has the source. When the underlying foundation model improves (a new release from the model vendor, a new open-weight option), the operator can swap the component without renegotiating the engagement. The pattern we hold to after handoff: a quarterly review of the system's outputs and a swap of any underperforming component when a better one exists. Doing that review in-house carries no fee; operators who want us to run it for them instead can add the $997 monthly stewardship plan.

From $10,000, one fixed fee quoted after the $499 audit, no ongoing licence fee.

A prototype on your own data ships before any build fee is due; the audit report is yours to keep either way.

A prototype in seven to ten days; the full build typically four to six weeks from there.

Real operating data for the dimension measured, a named contact, and consent to remove identifying details before publishing.

No. It gives senior staff time back on the named constraint; it is an enabler, not a headcount cut.

Operators who arrive at the audit call having already run the sequence get more out of the audit call, because the call starts at the constraint instead of at the introductions. 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 (non-disclosure agreement) and owning the code at handoff. Fourth, is the budget for a custom build from $10,000 real this quarter. Run this sequence with real numbers at the $499 AI-Ready Audit.

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.

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 small post-handoff stewardship is the lever for diagnosing what changed.

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, a $5M 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 much larger operator, with stakeholder counts and governance requirements that justify a Big Four engagement, is generally 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 (a private cloud account). Operators in that narrow band are where the math works.

In our experience 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.

See the pricing bands and boundaries referenced here on pricing.