Estimate phased automation timeline for tasks across departments and process complexity.
Last updated: February 23, 2026
Add tasks you are considering for AI automation.
Base Timeline = Complexity baseline (2-18 months) adjusted by data availability
Adjusted Timeline = Base x Org Readiness x Budget x (1 - Current Automation)
Savings Potential = Simple: 85%, Medium: 65%, Complex: 45%, Expert: 25%
Tasks are grouped into phases: Quick Wins (0-3mo), Short-term (3-6mo), Medium-term (6-12mo), Long-term (12+mo)
Successful AI adoption follows a phased approach. Starting with quick wins builds organizational confidence and generates early ROI that funds more complex automation projects. This calculator helps you prioritize tasks based on complexity, data readiness, and organizational capacity.
Simple, rule-based tasks (data entry, formatting, routing) can often be automated in weeks. Medium-complexity tasks requiring some judgment (email triage, basic analysis) take months. Complex tasks needing expert knowledge (medical coding, legal review) require extensive training data and validation. Expert-level tasks involving creativity or strategy may only be partially augmented, not fully automated.
AI automation is only as good as the data it works with. Tasks with clean, structured, API-accessible data can be automated much faster than tasks relying on unstructured documents, tribal knowledge, or inconsistent processes. Investing in data quality is often the best way to accelerate your automation timeline.
Estimate phased automation timeline for tasks across departments and process complexity. This tool runs in-browser for fast results without account setup.
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