AI readiness assessment and workflow ROI calculator
Find the workflow worth fixing first, estimate the manual cost, and see whether it is ready for AI, automation, or data work.
Manual hours, rework, and loaded hourly cost.
Data, process, owner, tools, metrics, risk, adoption.
A practical starting move for the entry retainer, starting from $4,000/month.
The calculator uses your operating inputs, not invented benchmarks.
The result is a planning range from the numbers you enter. It is useful for choosing where to start, not a promise of savings.
Annual manual hours
monthly volume x staff minutes per item / 60 x 12Annual rework cost
monthly volume x rework rate x rework minutes / 60 x 12 x loaded hourly costReadiness score
weighted score across data, process, ownership, integration, measurement, risk, and adoptionRecoverable value
annual workflow cost x planning assumption based on readiness bandCommon questions
Have more questions? We're happy to help.
What is an AI readiness assessment?+
An AI readiness assessment checks whether a workflow has accessible data, a repeatable process, clear ownership, integration paths, measurable success, review controls, and a realistic adoption path.
How does this calculator estimate workflow automation ROI?+
The calculator uses visitor inputs for monthly volume, staff time, loaded hourly cost, rework rate, and rework time. It estimates annual manual cost, annual rework cost, and a planning range for recoverable value.
What makes a workflow ready for automation?+
A workflow is more ready when the source data is accessible, the steps are repeatable, there is a clear owner, current tools can connect, success is measurable, risks can be reviewed, and users have a practical adoption path.
When should a company not automate a workflow yet?+
A company should hold off when the workflow is mostly exceptions, the data is not reliable, ownership is unclear, the tools cannot connect, or the team cannot measure whether the change worked.
What can Ubisar ship in the first month?+
Ubisar starts by choosing one valuable workflow, fixing the data and tools around it, shipping a usable improvement, and iterating until it becomes part of how the team works.