economics

AI Implementation ROI Review

acty.dev runs a scoped review of whether an AI or software implementation is worth doing, delivered as a written value view built on explicit assumptions, a soft cost picture, and a recommended scoped next step, without guaranteeing a specific ROI, exact savings, or payback timeline.

We run a scoped review of whether an AI or software implementation is worth doing, delivered as a written value view built on explicit assumptions, a soft cost picture, and a recommended scoped next step. We frame value around avoidable intermediary contractor costs, avoidable employee time, and founder or operator attention, and we do not guarantee a specific ROI, exact savings number, or payback timeline.

The problem we solve

A team can see the cost of an AI or software implementation but cannot easily tell whether it is worth paying for, because the value is spread across intermediary contractor fees, avoidable employee time, and founder or operator attention that are hard to compare on their own.

How we work

Scope and assumptions review.We review the process under consideration, who runs it, roughly how often, and the assumptions you want used, so the value view rests on stated inputs rather than invented numbers.
Value framing.We map where a scoped implementation could avoid unnecessary intermediary contractor costs, avoidable employee time, and founder or operator attention, each tied to an explicit assumption.
Soft cost picture.We outline the scoped implementation and support cost picture using soft pricing language, so cost and value can be compared without a hard quote.
Decision summary and next step.We hand over a written review with explicit assumptions and a recommended scoped next step, not a guaranteed payback.

What you bring / what you get

Inputs

The process or implementation you are weighing
Rough volume or frequency for the work involved
The assumptions you want the review to use

Outputs

A written value view with explicit assumptions
A soft cost picture for scoped implementation and support
A recommended scoped next step

Definition of done.A written AI implementation value review built on explicit, stated assumptions, with a soft cost picture and a recommended scoped next step, framed around avoidable intermediary contractor costs, avoidable employee time, and founder or operator attention rather than any guaranteed ROI, exact savings number, or payback timeline.

Fit and anti-fit

Good fit

Teams weighing whether an AI or software implementation is worth doing
Buyers who want an assumption-based view before committing budget

Not a fit

Requests for a guaranteed ROI percentage, exact savings number, or fixed payback
Idea-only requests with no real process or numbers to reason about

Questions

What does the ROI review produce?: A written value view built on explicit assumptions, a soft cost picture for scoped implementation and support, and a recommended scoped next step. It does not produce a guaranteed ROI, an exact savings number, or a payback timeline.
Do you guarantee a specific ROI or savings?: No. We frame value around avoidable intermediary contractor costs, avoidable employee time, and founder or operator attention, each tied to an explicit assumption. We do not promise a specific ROI percentage, exact savings, or payback timeline.
What proof supports this review?: We reference our public examples only within their recorded proof boundaries. Those portfolio projects show working implementations, not measured labor-savings claims, so the review uses them as context, not as a guaranteed outcome.

Pricing.The review itself is a small scoped engagement. Small scoped tasks can start from a few hundred dollars, while larger implementation work and retainers are scoped after a task review. (Scoped after a task review.)