Automate the right work before you automate more work.
Use these free tools to decide what is worth automating, put a dollar value on the current process, price the software stack, test the ROI, turn the best candidate into a narrow pilot, and train the team to use it safely.
Eight steps from idea to controlled adoption.
Each resource is useful on its own, but together they form a practical decision path from “we should automate something” to a scoped first test with visible economics.
AI Automation Opportunity Scorecard
Compare three workflows by business impact and automation readiness so you can rank what to automate first.
Use this tool →Manual Process Cost Calculator
Estimate the annual labor, rework, and delay cost tied to one recurring process before you build an automation.
Use this tool →AI Tool Stack Cost Calculator
Add subscriptions, usage, setup, and maintenance to see the real first-year cost of your AI and automation stack.
Use this tool →AI Automation ROI Calculator
Combine expected savings, revenue gain, stack cost, implementation, maintenance, and adoption to estimate ROI and payback.
Use this tool →Automation Pilot Brief Builder
Turn a process into a testable pilot brief with trigger, owner, systems, stop conditions, human review, and success measures.
Use this tool →AI Employee Training Plan Builder
Turn your team, approved tools, data rules, and first workflow into a practical 30-day employee AI training plan.
Use this tool →AI Skills Gap Matrix
Score practical team AI skills, surface the weakest competencies, and prioritize what to train next.
Use this tool →AI Workflow Failure Mode Mapper
Map likely workflow failures, required controls, human checkpoints, and stop conditions before a pilot goes live.
Use this tool →Value → readiness → economics → stack → ROI → pilot.
Start by comparing candidate workflows. Then quantify the current process, price the stack, and test whether the expected value clears the real cost. Only then should you scope the smallest useful automation pilot and train the people who will actually run it.
Turn tribal knowledge into a usable SOP before automating it.
If the rules, ownership, or exception handling are unclear, document the process first. That gives the automation something stable to implement.