Custom AI development cost for mid-market businesses.

Custom AI development for a mid-market business ($8M to $50M revenue) is priced as a fixed-fee commission in the $45,000 to $180,000 band. The fee covers the production build, integration with the operator's stack, and handoff of code, prompts, models, and datasets. There is no per-seat charge, no perpetual SaaS, and no proprietary runtime to license. ColabContent prices in two installments: one at production-build start, one at handoff.

Independent AI consultants charge $150 to $500 per hour. Mid-tier consulting firms charge $300 to $1,000 per hour. Big Four AI consulting (Deloitte, Accenture, McKinsey, PwC) charges $400,000 to $1.4 million for strategy plus a separate $1 million-plus implementation engagement. None of those motions are wrong; they are wrong for the mid-market band.

AI implementation hidden costs: data preparation runs 20 to 30 percent of total implementation cost. The advertised price typically represents 20 to 40 percent of true first-year cost. A boutique commissioning house bundles these into the fixed fee; per-seat SaaS adds them on top.

Builds that land at the lower end of the fee band ($45K to $75K) typically involve one specific workflow, read-and-suggest integration pattern with one system of record, well-structured data already accessible via API, and a 4-week production build. Examples: COI processing automation for a regional insurance agency, billable-hour timesheet reconciliation for a 30-attorney law firm.

Builds that land at the higher end ($120K to $180K) typically involve multiple workflows, bidirectional integration with multiple systems, heavier data-cleanup requirements, custom model selection, and a 6-to-7-week production build. Examples: custom CPQ for a specialty manufacturer with engineer-to-order workflows, multi-brand call routing for a PE-backed home services platform across ServiceTitan, FieldEdge, and Housecall Pro instances.

The fee is set after the diagnosis call, after the integration depth is named, and after both sides have written the constraint in a sentence. Scope expansion mid-build is renegotiated; neither side absorbs hidden overages.

Off-the-shelf AI SaaS products (Harvey, Karbon, Quandri, ServiceTitan AI) price per-seat per-month with enterprise contract negotiation. For a 75-attorney firm using Harvey at $200-$500 per attorney per month, the annual cost runs $180,000 to $450,000 in perpetuity. For a 100-professional CPA firm using Karbon at $59-$129 per user per month, the annual cost runs $70,800 to $154,800 in perpetuity.

A custom commission at $45,000 to $180,000 is a one-time fixed fee. Within 12 to 24 months, the commission breaks even versus the subscription. After that, the commission compounds savings while the subscription compounds spend.

The non-cost factors that often drive the decision: ownership of the code at handoff (operators evolve the system without renegotiating a vendor agreement), calibration against the operator's specific workflow (off-the-shelf products lose 30 to 40 percent of their value to misfit at mid-market scale), and data residency (the commissioned system runs inside the operator's own cloud tenant under NDA).

An internal AI lead at a mid-market business costs $180,000 to $350,000 per year fully-loaded (salary, benefits, equity, ramp-up). Plus six to twelve months of infrastructure work before shipping the first production system. By the end of year one, the internal hire has spent $180K-$350K and shipped one to two systems.

A boutique commission at $45,000 to $180,000 ships the first production system in 4 to 7 weeks. By the end of year one, the operator has shipped one system, has the code owned, and has paid less than half what the internal hire would have cost.

Most mid-market operators run both motions. The commission ships the first system on schedule. The internal hire owns adoption, governance, and the next twelve months of evolution. The two are complementary, not substitutes.

Mid-market law firms (20 to 150 attorneys): $45K to $180K fee band. Typical commissions: document automation, matter routing, billable-hour reconciliation. Detailed pricing here.

Mid-market CPA firms (30 to 150 professionals): $45K to $150K. Typical commissions: PBC automation, season workflow, CCH Axcess integration. Detailed pricing here.

Regional P&C insurance agencies ($10M to $50M): $45K to $120K. Typical commissions: COI processing, submission triage, AMS-native automation. Detailed pricing here.

Specialty manufacturers ($15M to $150M): $45K to $180K. Typical commissions: custom CPQ, RFQ-to-quote, ERP integration. Detailed pricing here.

PE-backed home services platforms ($20M to $100M): $60K to $180K. Typical commissions: multi-brand call routing, dispatch optimization, exit-multiple reporting. Detailed pricing here.

How much of the buy decision should the operator make versus delegate.

The right shape of the buying motion has the operator-owner or operating partner in the room for the diagnosis call. The constraint identification is too consequential to delegate to a department head. The implementation work that follows can and should be delegated; the decision on which constraint a commission addresses cannot.

How to evaluate references the consulting house presents.

Three questions per reference. First, what was the named constraint the commission addressed at this operator. Second, what was the measured result twelve months post-handoff, in dollars or hours. Third, does the reference operator still run the system. Vague references on any of those three are flags. ColabContent provides direct introductions to past commission operators for any prospect that asks; a fifteen-minute call to the operator is the most honest signal a prospect can get.

How a fixed-fee commission scopes overage risk.

The fixed fee is set after the diagnosis call, after the integration depth is named, and after both sides have written the constraint in a sentence. Overages occur when the operator changes the scope mid-build (a different workflow, a different integration, an additional system). Either side can pause the build to renegotiate; neither side absorbs hidden overages without explicit agreement. The default is to ship the original scope and address scope expansion in a separate engagement.

What happens to the system one year after handoff.

The system continues to run inside the operator's cloud tenant. 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 across past commissions: a quarterly review of the system's outputs, an annual swap of any underperforming components, no ongoing fee.

When the right call is not a commission.

The right call is sometimes a product (when the workflow matches a product's calibration target), sometimes an internal hire (when the operator has a five-year horizon and a $5M AI runway), sometimes a Big Four engagement (when the operator is large enough that the strategy-then-build separation makes sense), sometimes no AI right now (when the operator's leading constraint is not actually addressable with AI). We tell prospects when their constraint falls into one of those buckets and route them to whichever path fits. The four-commissions-per-quarter cap is real; the firms that get one of those four slots are the firms where the commission is the right buying motion.

The five-minute fit-check worksheet.

Operators who want to test the fit before booking a diagnosis call can run a five-minute self-check on six questions. First, is the operator's annual revenue in the $8M to $50M band. Second, is there a named workflow where time or money is leaking measurably. Third, has the operator tried an off-the-shelf product and either rejected it or hit a misfit ceiling. Fourth, is the operator comfortable running the system inside their own cloud tenant under NDA. Fifth, can the senior operator commit to forty-five minutes for a diagnosis call. Sixth, is the budget runway for a $45K to $180K fixed fee real this quarter.

Six yes answers means a diagnosis call is worth the forty-five minutes. Three or fewer yes answers means the right next step is probably one of the alternatives. Four or five yes answers means the call surfaces whether the missing one is addressable.

What to bring to the diagnosis call.

Two artifacts make the call substantially more productive. First, a one-page description of the leading constraint, written in the operator's words, naming the workflow and the rough dollar or hour leakage. Second, a list of the systems the operator uses for the workflow (the system of record, the related tools, the integration boundaries). Neither artifact has to be polished. The point is to surface the constraint quickly so the call's forty-five minutes are spent on diagnosis, not exposition.

The four-question sequence operators run before booking.

Operators who arrive at a diagnosis call having run the sequence usually book the engagement 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 runway for a $45K to $180K fixed fee 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 diagnosis spec. 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.

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 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 operator at $500M-plus 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. Operators in the $8M to $50M revenue band, 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 four-commissions-per-quarter cap 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.