AI Work Order · $500 standard scoped work order

One defined outcome.
Scoped before work begins.

An AI Work Order is a bounded piece of work with a defined outcome. It might be one workflow, one research question, one architecture decision, one implementation slice, or another focused unit of work. The scope is agreed before work begins. If the work is larger, I will tell you before it starts. $500 standard work order. Available through the AI Advisor relationship.

What Fits

What can fit into an AI Work Order?

A Work Order is flexible. It is not narrowly a review, an assessment, or implementation. It is a standard bounded unit of work. The actual output depends on agreed scope.

Workflow

Map, analyze, or improve one intake or operational workflow.

Build

Implement one bounded AI-assisted workflow or component.

Research

Investigate one technical or business question and return findings.

Architecture

Design one bounded architecture decision or integration slice.

Vendor

Evaluate a defined vendor or tool decision.

Evaluation

Create or test one bounded evaluation, control, or proof of concept.

These are examples, not an exhaustive list. A larger project may require multiple Work Orders or a custom scoped engagement.

Valid Outcomes

The honest answer might not be build.

A Work Order can end in any of these recommendations. All of them are valid outcomes. The answer is allowed to be no.

BuildBuyConfigureIntegrateAutomateSimplifyWaitKeep currentDo not use AI
Starting Points

Common workflows worth investigating.

Not sure if your workflow is a good fit? These are common starting points. If yours is not on the list, describe it in the intake. For a broader framework on how to identify where AI actually belongs in your business, read where should our company actually use AI.

Customer onboarding or intakeManual data entry or reconciliationDocument review or classificationScheduling or dispatchReport generationQuality checks or compliance reviewInvoice or order processingEmail or call triage
Decision Methodology

Seven questions. One clear path.

When the Work Order involves a workflow or build decision, these questions shape the analysis. Not every Work Order uses all of them. The scope determines which apply.

What are we trying to improve?
Should AI be involved?
Should we build, buy, configure, connect, simplify, wait, or stop?
What should remain human?
What does the architecture require?
What are the dependencies and failure modes?
What is worth doing next?
See the full set of 30+ questions used for workflow assessments
What business outcome are we actually trying to improve?
What exactly are we automating or investigating?
Is AI appropriate for this workflow?
How does the process work today?
Where does manual effort, delay, friction or opportunity exist?
What should remain human?
What should be automated?
Can existing software handle this instead of custom development?
What systems are involved?
What integrations already exist?
What integrations would be required?
What event starts the workflow?
What information enters the workflow?
What should the system produce or change?
What business rules must remain intact?
What exceptions occur?
Who must approve or intervene?
What happens when AI is uncertain?
What happens when AI is unavailable?
What is the human fallback?
What data does AI need to process?
What sensitive information is involved?
What security, privacy or compliance questions deserve review?
What external dependencies exist?
What assumptions are we making?
How will success be measured?
What should a pilot demonstrate?
Should we buy, configure, automate, custom build, or keep the current process?
What is the realistic implementation cost range?
What should happen first?
Scope

How scope works.

One Work Order, one defined outcome

A standard Work Order covers one bounded piece of work. The scope is agreed before work begins. You know what is included, what is excluded, and what the intended deliverable is.

If the work is larger

If your request looks larger than one standard Work Order, I will tell you before it starts. We can break it into additional Work Orders or scope a larger engagement. No surprise change orders.

The deliverable depends on scope

A Work Order may produce analysis, research, a design, a recommendation, a configuration, a bounded implementation, or another scoped deliverable. The output matches the agreed scope, not a fixed template.
Why Trust This

Independent recommendations. Real implementation experience.

The best solution is sometimes simpler than a custom build

If existing software, a standard deployment, or another appropriate tool can solve the problem efficiently, the Work Order recommends that path. Independence of recommendation is an advantage, not a limitation.

Real implementation, not slides

I have built production AI automations including voice agents that handle live calls, compliance platforms that process evidence pipelines, and content systems that generate and publish autonomously. The Work Order methodology comes from real implementations.

Start your AI Work Order.

Describe what you need. You will see scope and membership options before payment. If you are already an AI Advisor member, you can continue to checkout. If not, you can join the AI Advisor Desk to commission this Work Order.

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