Separate three costs
The first cost is implementation: discovery, data cleanup, integration, testing and training. The second is recurring usage: model API calls, email delivery, storage, hosting and any licensed business software. The third is ongoing operations: monitoring, vendor updates, privacy reviews and human exception handling. A low model-token bill does not mean the total system is free.
Scope affects price more than prompts
One form that generates a draft can be relatively straightforward. A system that reads customer records, changes availability, issues invoices or coordinates several departments requires authentication, permission design, careful testing and error recovery. Ask vendors to quote defined outcomes, integrations and acceptance criteria rather than an unspecified 'AI agent'.
Build a simple ROI calculation
Estimate monthly task volume multiplied by minutes saved per completed task. Subtract the time still needed for verification and corrections. Then compare the realistic labor value with software and maintenance costs. Do not count time savings twice, and include a review period after launch. Customer response time and fewer missed inquiries may matter as much as labor hours.
What to ask in a proposal
Request the list of connected platforms, data ownership, security controls, model usage assumptions, exit plan, training and support terms. FOURAK can define a scoped pilot before recommending a larger build. No credible provider can promise a fixed return without understanding your workflow and baseline.
A practical next step
Choose one process, document its inputs and approvals, and measure a baseline before connecting AI. If you're evaluating custom AI workflows or autonomous agents for an Alaska business, FOURAK can help define a secure, maintainable first phase.
Discuss an AI workflow with FOURAK →