What Does an AI Automation Project Cost?

Ask for a scoped estimate, not a universal price

There is no useful single price for “AI automation.” A draft-only assistant reading approved documents is a different project from a system that updates several business applications. Publishing a broad dollar range without defining those jobs would make the comparison look clearer than it is. DBAI does not publish a fixed project quote in this guide.

To get a meaningful estimate, describe the trigger, inputs, output, connected tools, expected volume, and approval boundaries. Include a difficult example. If an agency cannot explain what its quote assumes about those items, you cannot tell whether two proposals cover the same work.

Separate the initial work from the operating bill

Integration is a cost driver you can investigate early

A working API does not guarantee a complete integration. The team still needs to know how records match, which system is authoritative, and what happens after a partial failure. A connector that can read a contact may not support the action your workflow needs. Discovering that after building the interface can change the project substantially.

The SimpliLeads case study illustrates why this matters: its dashboard brings several operational systems together. The planning question is not simply whether a model can summarize information. It is whether the underlying records can be collected and presented consistently for the right customer.

Use a worksheet that includes human review

For a period you can measure, estimate operating cost as platform and infrastructure charges plus model and tool usage plus support plus human review. Use current provider quotes and observed workflow volume. Capture retries and exceptions; a clean demonstration is not a usage forecast.

• Work items per month: count actual requests, documents, cases, or transactions.
• Cost per work item: include model calls, tool calls, retrieval, and expected retries.
• Review workload: multiply reviewed items by observed review minutes, then divide by 60.
• Staff cost: apply your own loaded hourly cost if you need a monetary estimate.
• Fixed costs: include licenses, hosting, storage, monitoring, and contracted support.
• One-time costs: keep setup, migration, testing, and training separate from the monthly total.

Illustrative arithmetic only: 300 reviewed items at four minutes each require 20 review hours. That is not a DBAI performance claim, a price quote, or an estimate of your workload. It shows why leaving review out of a budget can change the decision even when model usage is inexpensive.

Treat saved time as capacity until the business uses it

Measure the manual baseline and the assisted process over comparable work. Include checking, correction, and escalation in the assisted total. If a workflow releases hours, name what happens next. Reducing overtime, processing additional demand, and responding faster are different outcomes; they should not be counted as the same financial benefit.

A payback calculation can divide one-time investment by verified monthly net benefit, but only when that benefit is positive and defined consistently. Do not treat speculative sales growth as guaranteed benefit, or count the same released hours as both payroll savings and extra output.

Make the proposal easy to compare

• Included: exact workflows, integrations, permissions, environments, and deliverables.
• Acceptance: examples the system must pass and the person who signs off.
• Excluded: data cleanup, unsupported actions, migration, or other work outside the quote.
• Operation: usage assumptions, support ownership, incident response, and maintenance terms.
• Change: how additions are estimated and approved.
• Exit: access to code, configuration, documentation, and exportable data.

The cheapest credible first step is often to reduce uncertainty. Confirm the source data, test the difficult inputs, and identify the integration limits. Then ask for a bounded implementation proposal. Buying clarity before a larger build can prevent paying to solve the wrong problem.