Requirements for AI System Deployment

The first filter for an AI project is whether the problem is one of the customer's top five priorities; the source says that if it is not, the engagement will fail.

Programming

A Working System That Never Ships

Imagine a team that has built an AI system that works well in testing. The model is accurate, the code is clean, and the demonstration impresses everyone who sees it. Yet the project never reaches daily use. Nothing in the technology is broken. This article answers two questions: why a well-built system can still fail to reach production, and what the source identifies as the first thing to check before effort is spent on building it.

What do you think happens?

A team's model is highly accurate, but the problem it solves is not among the customer's five most important priorities. What do you think happens to the project?

It reaches daily use because the model is accurate
It stalls or fails, even though the technology works
It is fixed automatically once the code is cleaned up

Reveal answer

Answer:

It stalls or fails, even though the technology works.

The source states that if the problem is not one of the customer's top five priorities, the engagement will fail. Model accuracy and code quality do not override this first filter.

Tracing a Proposal Through the First Filter

The first filter is a test applied to the problem, not to the technology. Ask whether the problem appears among the customer's five most important priorities. The answer decides the path a proposal takes. The diagram below shows the decision as a go or no-go gate that comes before any technical work.

Given a proposed AI project, what checks come first, and which branch leads to stalling or failure instead of continuing toward deployment?

Worked example

Applying the filter to a proposed scheduling assistant

A team proposes an AI assistant that drafts routine reports. The customer's top five priorities are listed by leadership, and the report-drafting problem is not on that list. Decide at each step whether the proposal remains on track.

1
Step 1: Name the problem
The problem is that routine reports take staff time to draft. Name it in terms of the customer's business, not the model.
2
Step 2: Compare against the top five
Check the problem against leadership's five most important priorities. Here it does not appear, so the proposal fails the first filter.
3
Step 3: Follow the branch
Because the answer is no, the source says the engagement will fail. The project is predicted to stall before technical work, even if the model would be accurate.
4
Step 4: Check the result
The team's accuracy and clean code are real achievements, but they do not change the outcome of the gate. The filter is applied before those qualities matter.

Result

The proposal is predicted to stall. It should not proceed to technical work on the strength of model quality alone.

Why the Filter Asks About Priorities

Definition

The first filter for an AI project is whether the problem is one of the customer's top five priorities. The source says that if it is not, the engagement will fail.

The source gives its reason in one phrase: the reason is organizational physics, not technology. A project's fate is set by people and institutions, not only by the quality of the model. A system that is technically correct still has to be deployed, and deployment changes how an organization works.

This is why the filter asks about priorities. Changes that touch processes, systems, and daily routines are costly for an organization to absorb. The source notes that none of the support production deployment requires happens for problems that are not high on leadership's list. Priority is what makes the organization willing to spend the attention and political capital that deployment demands.

Question	Organizational alignment	Technical feasibility
What it asks	Does the organization consider the problem one of its top priorities?	Can the model and system be built to work correctly?
Who decides	People and institutions across the organization	The technical team evaluating the system
Typical evidence	Leadership attention and willingness to absorb change	Accuracy and correctness in testing
Role in this filter	The first filter, checked before technical work	Important, but it does not decide whether the project reaches production

Organizational alignment and technical feasibility answer different questions. The first filter addresses the organizational one.

Four Groups That Production Requires

Once a problem has passed the first filter, the source describes what it takes to put an AI system into production. Four groups must act, and each contributes something different. The diagram below shows how all four connect to the single system that needs their agreement or support.

Which four groups must support a deployment, and how do they relate to the single AI system that needs their agreement?

Following a Passed Proposal Forward

Now trace a proposal that does pass the first filter. The problem is on leadership's top-five list, so technical work can begin. The next question is whether each of the four groups is prepared to support the system. The scenario below is illustrative and was written for this article, not taken from the source.

Worked example

A passing proposal still has four groups to satisfy

A proposed AI system addresses a problem that leadership ranks among its top five priorities. Decide what remains after the filter is passed.

1
Step 1: Confirm the filter
The problem is among the top five, so the proposal passes the first filter and is not predicted to stall at the gate.
2
Step 2: Check leadership attention
Passing the filter does not guarantee that leadership will keep its attention on the project over months. That sustained attention is a separate requirement.
3
Step 3: Check legal, IT, and staff
Legal and compliance must agree to the process change, the IT function must provide access to systems, and the line workforce must accept daily routine changes. Each is still open.
4
Step 4: Judge the outlook
Because the first filter is only a necessary starting condition, the proposal's path to production is not yet secured. Open requirements from the other groups remain the main risk.

Result

The proposal is past the gate but not guaranteed to succeed. Its remaining risk lies with leadership attention, legal and compliance agreement, IT access, and staff acceptance.

Mistakes When Applying the Filter

Common mistake
Judging the project by model accuracy first
What it looks like
A team presents strong test results and assumes the project is safe to continue.
Why it fails
The source says the first filter asks about the customer's priorities, and a technically correct system can still fail to reach production.
Do this instead
Check whether the problem is among the top five priorities before weighing technical results.
Common mistake
Treating the filter as a test of the technology
What it looks like
A reviewer asks only whether the model can work and never asks about leadership's list.
Why it fails
The filter is a test applied to the problem, not to the technology.
Do this instead
Ask whether the problem appears among the customer's five most important priorities.
Common mistake
Assuming passing the filter guarantees success
What it looks like
A team that passes the gate stops thinking about the other requirements.
Why it fails
The source states that passing is a necessary starting condition and does not by itself guarantee success.
Do this instead
Keep checking leadership attention, legal and compliance agreement, IT access, and line workforce acceptance.
Common mistake
Confusing a high-priority problem with a high-quality model

Practice: Predict Whether a Project Stalls

EASY

A team proposes an AI tool that sorts incoming customer emails. Its model is highly accurate in testing. When leadership reviews the customer's list of five top priorities, email sorting is not on it. Based on the first filter, predict whether this project is likely to stall, and explain your reasoning in terms of organizational factors rather than technical ones.

Hints

Start with the first filter. Is the problem among the customer's top five priorities?
Consider whether the model's accuracy changes the answer the filter gives.
The source says that if the problem is not a top-five priority, the engagement will fail.

Your attempt (not saved)

Key Takeaways

The first filter for an AI project is whether the problem is one of the customer's top five priorities; the source says that if it is not, the engagement will fail.
The filter is organizational rather than technical: a technically sound system can still fail to reach production, because deployment changes how an organization works.
Production deployment requires four groups to act: senior leadership with sustained attention, legal and compliance agreeing to a process change, the IT function providing access to systems, and the line workforce accepting daily routine changes.
Passing the filter is a necessary starting condition, not a guarantee of success; the other requirements must still be met.