Tell us about the task you keep doing. We agree on the inputs and the result, then build, test, document, and hand over a working process for that one repeatable job.
A good candidate repeats regularly, uses information your business is allowed to process, and produces something a person can check. We agree a fixed project price between $300 and $2,000, based on the scope.
First we write down how the task works: what starts it, the information available, the decisions that follow rules, the exceptions a person needs to handle, and the result you want. That lets us judge whether automation is worth building.
The process needs someone responsible for it, a repeatable task, and a way to check the output. We choose a tool once those pieces make sense. A fashionable chatbot is only useful if it has a useful job.
We might sort and route incoming inquiries, turn a form or voicemail into a structured job record, draft a recurring type of response for approval, or pull defined fields from documents that arrive in a consistent format. The task stays specific enough to test.
We test with examples from your business, including incomplete information and awkward edge cases. We also check the situations where the process should stop and ask a person to review it.
We identify what data enters the system, where it goes, how long it stays, and who can see it. Sensitive customer, health, payment, employment, or legal information needs stricter review than ordinary marketing content.
Human approval stays in the process wherever accuracy, privacy, safety, or judgment requires it. A model producing an answer is not enough reason to let it make a consequential decision.
We hand over plain instructions for using the tool, checking its output, dealing with failures, and knowing when to step in. The people using it should understand what it does and which decisions still belong to them.
Your project gets a quote before it starts. Any additional work is quoted separately before we begin it.
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 through your website, Google Business Profile, search presence, and public marketing before we meet. The review is free, and the written priorities are yours to keep.