How Do You Set Up an Enterprise AI Solution Partnership?

In short: an AI solution partnership is a way of working in which the parties agree on an outcome rather than on a scope. Setting one up takes four steps: defining the shared goal numerically, dividing decision rights, setting a measurement rhythm, and writing the handover terms at the start. If those four are missing from the contract, the arrangement stays a supply relationship no matter what it is called.

The real difference between partnership and supply

In a supply relationship the scope is written up front, the supplier delivers that scope, and responsibility ends there. If the scope was wrong, the result is wrong too — yet the supplier is considered to have done its job.

In a partnership the agreement is built on the outcome, not the scope. When the scope turns out to be wrong, the scope changes, because both parties are tied to the same result.

The practical consequence is this: a supplier can say "that is what was asked for." A partner cannot. We covered the difference between the two in a separate article.

Setting it up in four steps

1. Tie the shared goal to a number. "Improving our processes" is not a goal. "Reducing average quote preparation from 4 hours to 1 hour" is. When the goal is not tied to a number, whether the project succeeded becomes a matter of opinion, and the partnership ends at the first disagreement.

The baseline is written alongside the goal: today's value, how it was measured, and who measured it. A goal without a baseline is a goal that can be reinterpreted later.

2. Divide the decision rights. The most common stall in a partnership is uncertainty over who decides what. Three columns have to be written down:

Decision	Who makes it
Which process is tackled first	The organization
Which architecture and technology is used	The partner
Whether the system's output is good enough	The organization
Whether a scope change is needed	Jointly
When to go live	Jointly

The organization interfering in technology choice, and the partner interfering in business priority, are the two typical mistakes that slow a partnership down.

3. Set a measurement rhythm. A partnership stays alive when progress is discussed regularly against the same metrics. The rhythm that works in practice is: a short weekly status meeting, a monthly metric review, and a comparison against the baseline on days 30, 60 and 90.

This rhythm makes bad news arrive early. What breaks a partnership is not bad news but bad news that arrives late.

4. Write the handover terms at the start. Writing the ending while a partnership begins looks odd, but the opposite is true: parties work more freely when the handover terms are already on paper. What to write:

Where the source code and documentation live
The names of at least two people inside the organization who know the system
How access is transferred when the relationship ends
The transition period if maintenance is handed over

These clauses prevent dependence from forming. Dependence is a feature of supply, not of partnership.

Five clauses the contract needs

A measurable goal and a baseline. What moves, from which value to which value.
A decision-rights table. The five rows above, with the parties named.
A scope-change method. How a change request is priced and who approves it.
Intellectual property and source code ownership. Who owns the code, which components are licensed.
Handover and exit terms. The four items above.

A contract without these five causes no trouble while the relationship goes well; it puts the parties against each other at the first disagreement.

Three things that break a partnership

No owner inside the organization. However well the partner works, if there is nobody on the organization's side to make decisions, the project waits at every step. That person does not have to be technical; being able to decide is enough.

No measurement. A partnership where metrics are never discussed starts running on perception within a few months. Perception generates expectations that appear nowhere in the contract.

Bad news delayed. Saying that an assumption turned out wrong is far cheaper the day it becomes clear than two weeks later. The most concrete test of a partnership is how fast bad news travels.

Gartner's June 2025 prediction says over 40% of agentic AI projects will be cancelled by the end of 2027, and names inadequate risk controls among the reasons. All three situations above are precisely that: missing risk control.

Frequently asked questions

Is a partnership more expensive than a supply relationship? The setup fee is usually similar. The difference shows in the second year: in a partnership, correcting a wrong scope happens inside the relationship; in a supply relationship it is a new contract.

How long does a partnership last? It should be tied to a defined goal, not to a duration. Partnerships defined by duration end when the time runs out, whether or not the goal was met.

Can you work with more than one partner at once? You can, but each partner needs its own area with its own outcome. Two parties responsible for the same outcome means nobody is responsible.

Does a partnership make sense for a smaller organization? Yes, and more so. For organizations without the scale to build an internal team, it is the only structure that provides continuity.

Sources

Gartner, Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027 (June 2025) — escalating costs, unclear business value and inadequate risk controls are named among the reasons for cancellation.
McKinsey & Company, The State of AI: Agents, innovation, and transformation (2025) — only 21% of organizations using generative AI have redesigned a single workflow.

Closing

A solution partnership is established by the way of working, not by the heading on the contract. If the goal is tied to a number, the rights are divided, the measurement is regular and the handover terms are written, the partnership already exists.

Look at our engagement models or see our enterprise AI consulting service.