Automation ROI Estimator
Pick a process type, adjust the numbers, and see realistic annual savings from AI-driven automation — labor cost, error reduction, and hours recovered.
What kind of process are you looking to automate?
Pick a template to start with realistic defaults, or choose custom to enter your own numbers.
Why we built this estimator
The first question in every automation conversation is the same: is it worth it? Teams know a process is slow and error-prone, but they don't have a clear number on what it costs annually or what automation would save. That makes it hard to justify the investment.
This estimator gives you a directional answer. It won't be exact — implementation costs, AI provider fees, and process complexity all affect the real number — but it will tell you whether the savings are large enough to investigate further. And if they are, a scoping conversation confirms the details.
Hours recovered when AI handles the repetitive work.
Fewer mistakes mean less rework, fewer refunds, less risk.
Realistic automation rates and transparent methodology.
Processes we commonly automate
Document processing
Extract data from invoices, contracts, forms, and reports. Parse structured and unstructured documents, validate against schemas, and route to the right system.
Classification & routing
Automatically categorize support tickets, applications, leads, or submissions by type, urgency, or department — and route them to the right queue.
Data entry & enrichment
Normalize formats, fill in missing fields, cross-reference sources, and maintain data consistency across systems without manual cleanup.
Content review & moderation
Review user-generated content, submissions, or communications against policies. Flag violations, escalate edge cases, and maintain audit trails.
Common questions
How accurate are these estimates?
Directional. The estimator uses conservative assumptions (75% automation rate, 70% error reduction) that reflect well-implemented AI pipelines. Your actual savings will vary based on process complexity, data quality, and integration scope.
What about the cost of building the automation?
This estimator shows annual savings from the automation — not the implementation cost. A scoping conversation defines the build cost so you can calculate the actual payback period.
Can you automate processes that aren't listed?
Yes. The templates cover the most common patterns, but choose "Custom Process" to model any workflow. If it involves repetitive classification, extraction, routing, or transformation, it's likely automatable.
What if the savings don't justify the build?
Then you know before spending anything. That's the point. Not every process is worth automating, and it's better to find out with a calculator than with a failed project.
See savings worth investigating?
A scoping conversation confirms the real numbers, defines the implementation scope, and tells you whether the automation is worth building.