The AI Advantage #4: Compare AI Services by Scope, Not Monthly Price
A monthly subscription and a professional service rarely cover the same responsibilities. Put the deliverables and the full cost on the same page before deciding.

Compare equivalent work
An inexpensive AI subscription can look compelling beside an agency retainer. The comparison becomes useful only when both options cover the same work.
A provider may be doing discovery, collecting missing information, writing, checking accuracy, managing deadlines, and taking responsibility for delivery. An AI tool might produce a first draft of one item in that chain. That draft can still be valuable, but it is a different scope.
List the work you actually receive today. Separate routine preparation from decisions, approvals, customer communication, and responsibility for the finished result. Then identify which part you want to change.
Put the whole operating cost on paper
A workable comparison includes the one-time setup and the ongoing cost of running the process. Include software subscriptions, model usage, integrations, review time, exceptions, maintenance, and any retained provider work.
Here is an illustrative calculation, not Leios pricing: replacing $600 of monthly preparation work with $150 of software and $250 of review effort creates a possible $200 monthly difference before setup and maintenance. A $2,000 setup would take ten months to recover at that difference, assuming the work and costs remain constant.
Change one assumption and the result changes. If reviewing the output takes longer than expected, the saving may disappear. If the process produces more errors, the cheaper invoice may be the more expensive option.
Use acceptance criteria that can be checked
Choose representative examples before the pilot begins. Define the required fields, source references, accuracy checks, turnaround, and exceptions. Specify what the system should refuse to do when information is missing.
Have the person who uses the output review it. A fluent document is not necessarily a correct document, and a fast response is not necessarily a helpful one.
Track whether the new process meets the same standard as the old one. Measure the entire task, including collection, review, correction, and delivery, rather than timing only the generation step.
Decide who owns the result
Read the handoff and support terms before selecting a provider. Who owns the accounts, data, prompts, workflows, and configuration? Who pays for third-party services? What happens when an integration changes? What is included in support, and what becomes new scope?
A clearly bounded implementation can be a good fit when your team can operate it afterward. A retained service may make more sense when you need ongoing judgment and accountability. A combination can work too: automate preparation while keeping professional review.
Use the pilot to choose between those options. There is no universal saving percentage or guaranteed payback period that substitutes for the scope of your actual work.
Start with the process you want to improve.
Explore AI implementation, use the pilot readiness worksheet, or bring us the question.
Frequently asked questions
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