Month-to-month AI consulting. Flat fee. No annual contract. The first month is the trial.

Read the standard consulting Master Services Agreement. The annual minimum is in there. The cancellation clause is buried in section 9. The "convenience termination" fee is usually three months of fees, sometimes six. The renewal is automatic unless you give 90 days notice on the contract anniversary.

All of those clauses exist for one reason: the firm needs revenue certainty to scale a partner-led practice. The clauses are not about you.

We do not have a partner pyramid. The pricing model can be different.

How the engagement is shaped

The structure is three pieces:

• Flat monthly fee, scoped during the discovery call based on which tier matches the work ahead. No hourly billing. No surprise change orders. The number is the number.
• Month to month, with thirty days notice on either side. No annual minimum. No automatic renewal. The relationship continues because both sides are getting value, not because a clause is forcing it.
• A new shipped module every two to four weeks, depending on the tier. This is the falsifiable cadence that makes the structure work. If we are not shipping, you can see it inside the first six weeks and decide.

The first month is the trial. Not a free trial. A paid month where we ship one thing into your operation, and you see whether the work is good. If it is, we keep going. If it is not, we stop and you keep the code we shipped.

Why this works

The pricing model only makes sense if the work model supports it. Three things have to be true.

First, the senior engineer has to be the senior engineer. Month-to-month does not work with a partner-architect-then-junior-team rotation, because the trial month is too short for that rotation to play out. The person who shows up in week one has to be the person who builds in week three. Mozr engagements are run by the senior practitioner who pitched. That is not a default in consulting.

Second, the cadence has to be visible. "We are working on it" is not a status update. A new shipped module every two to four weeks is. You see the module land in your repo. You see it in production. The cadence is falsifiable, which means trust is calibrated against output, not against meetings.

Third, the offboarding cost has to be zero. If leaving requires "transition planning" and a "knowledge transfer engagement" and a "handoff fee," the month-to-month structure is theater. The whole point is that you can walk out the door on the first day of any month. We covered the ownership pieces in a separate post: code in your repo, infrastructure on your cloud, accounts in your billing. Offboarding is revoking access, not migrating systems.

The math under the structure

The flat-fee, month-to-month model is more economically efficient for both sides than annual lock-ins, despite the apparent volatility for the firm.

For the client, the obvious win is that you only pay for months where the work is shipping value. The less obvious win is that the firm has to keep being the right answer every month. That is a stronger incentive structure than any contract clause.

For us, the apparent loss is that we cannot count on revenue beyond thirty days. The actual reality is that the engagements last longer than annual contracts because the relationship is built on output rather than legal obligation. The clients we have worked with longest could have walked any month and chose not to. That is a higher-quality book of business than one held together by automatic renewals.

And the partner-pyramid revenue certainty problem does not apply, because we do not have a partner pyramid. The team is small on purpose.

When this is the wrong fit

Two situations where the month-to-month flat-fee structure is not right for the buyer:

Procurement-heavy organizations. If your finance team requires a multi-year contract with detailed deliverable schedules and milestone payments, this structure will not survive your AP department. That is fine. Buy from a Big-4 firm that is shaped for it.

One-shot project work. If you have a single, scoped problem that needs a fixed-price build with a defined start and end and no ongoing relationship, you do not need month-to-month. You need a fixed-price boutique. Hire one.

For most founder-led businesses with a multi-quarter AI roadmap, the month-to-month flat fee is the cleanest structure available.

What pricing actually looks like

We do not publish exact prices because the right monthly fee depends on the tier and the tier depends on the scope. The discovery call sorts that out in thirty minutes.

What we will tell you up front:

• The Single Project tier is the entry point and the lowest fee.
• The Three Projects tier is the most common. It tends to be the right fit when AI is touching three or more workflows.
• The Enterprise tier is custom-scoped for teams running AI as a permanent operating function.
• You can move up or down a tier any month. The flexibility is part of the structure.

All three tiers include the same monthly cadence guarantees and the same offboarding clause. What varies is the scope of work and the team shape.

The summary

Annual contracts protect the firm. Month-to-month protects you. We chose to operate the second way because we wanted the work to be the contract, not the legal language.

The first month is the trial. We are confident enough in the cadence to put the relationship on the line every thirty days. That confidence is what you are buying.