We scope AI work around one repeatable job, agree on the inputs and expected result, then build, test, document, and hand over the working process.
Good candidates are repetitive, use information the business is allowed to process, and have an output a person can check. The project price is fixed between $300 and $2,000 according to scope.
We document what starts the task, which information is available, the decisions that follow rules, the exceptions that need a person, and the result the business needs. That definition makes it possible to judge whether automation is worth building.
A tool is not recommended because it is popular or because a competitor added a chatbot. The process needs a real owner, a repeatable job, and a way to check the output.
Examples include sorting and routing incoming inquiries, turning a form or voicemail into a structured job record, drafting a recurring category of response for approval, or extracting defined fields from documents that arrive in a consistent format.
The test cases come from the business. We include ordinary examples, incomplete inputs, edge cases, and the situations that should stop and ask for human review.
The project identifies what data enters the system, where it is sent, how long it is retained, and who can see it. Sensitive customer, health, payment, employment, or legal information requires a stricter review than ordinary marketing content.
A system should not make a consequential decision merely because a model can produce an answer. Human approval stays in the workflow where accuracy, privacy, safety, or judgment requires it.
We provide plain instructions for using the tool, checking the result, handling failures, and knowing when the process needs attention. The people doing the work should understand what the automation does and what it cannot be trusted to decide.
The project is quoted before it starts. Work beyond the agreed task becomes a new scope rather than an open-ended transformation engagement.
Written task, inputs, expected output, and exception rules
Data and privacy review appropriate to the use case
Fixed project price agreed before development
Testing against real examples and edge cases
Human approval points for sensitive or uncertain output
Plain operating, review, and failure-handling instructions
Published AI project pricing runs from $300 to $2,000. The exact figure depends on the task, data, integrations, testing, and handoff required.
A strong candidate happens regularly, follows repeatable steps, uses information the business can process, and produces an output a person can verify.
That is not the promise. These projects remove or shorten a defined repetitive task while keeping a person responsible for exceptions and important decisions.
Possibly, but the use case comes first. A useful assistant needs approved source information, clear limits, a contact handoff, privacy review, testing, and an owner responsible for keeping its answers current.
We look at the website, Google Business Profile, search presence, and visible marketing first. You receive the priority list after the conversation.
