AI Workflow Audit Checklist

Before you automate anything, you need to understand the real workflow, not the idealized version. This audit is designed to be done in under an hour per process. It surfaces the actual bottlenecks, exception paths, and data hand-offs that matter. Do this with the person who currently does the work, not just from your own observation.

Basic Workflow Identification

Start by naming the workflow clearly and identifying its boundaries. Many automation attempts fail because the scope is too vague or overlaps with adjacent processes.

• ☐I can name the workflow in one sentence
• ☐I know exactly where the workflow starts (what triggers it)
• ☐I know exactly where it ends (what "done" looks like)
• ☐I have confirmed this with the person who does the work

Step-by-Step Process Mapping

Document each step the workflow goes through. Include digital steps, phone calls, manual filing, and any other action that moves the work forward. Do not skip the steps that feel too small to mention.

• ☐I have listed every step in order
• ☐Each step includes who does it, what tool or system is used, and what happens to the data
• ☐I have noted which steps are manual vs automated today
• ☐Steps that involve sending or receiving information from outside the business are flagged

Time and Wait States

Workflows are not just about active work. They include wait states, review queues, and handoffs that add delay without adding value. These wait states are often the biggest source of waste.

• ☐I know how long each active step takes (in minutes)
• ☐I know how long each wait or queue state lasts on average
• ☐I have identified the longest single wait state in the workflow
• ☐I have identified where work "falls through the cracks" or gets forgotten

Data Movement

Every workflow moves data. The data enters somewhere, gets transformed or used, and moves to the next step. Tracking exactly what data moves where reveals automation opportunities and risk points.

• ☐I have listed every place where data is stored or retrieved (files, apps, notebooks, email)
• ☐I have identified the single source of truth for the most important data in this workflow
• ☐I know where data is re-entered or copy-pasted between systems
• ☐I have noted where data formats change (e.g., screenshot to typed note)

Error and Exception Paths

The main workflow handles the happy path. Exception paths are where errors, edge cases, and unusual situations get handled. These are often the most time-consuming parts and the hardest to automate well.

• ☐I have identified the top 3-5 exceptions that happen regularly
• ☐I know what triggers each exception
• ☐I know how each exception is handled today
• ☐I have identified which exceptions need human judgment vs rules-based handling

Current Pain Points

Finally, document what is painful about this workflow today from the perspective of the person doing it. The person doing the work often sees bottlenecks and workarounds that management does not know about.

• ☐The person doing the workflow has confirmed the pain points I listed
• ☐I have estimated total time spent on this workflow per week/month
• ☐I have noted any workarounds or shortcuts that people have developed
• ☐I have confirmed that fixing this workflow is a priority over other candidate workflows

Use this audit to identify the top 3 automation opportunities within the workflow. Look for: steps that are purely data movement (no judgment needed), steps with long wait states, steps that are repeated manually multiple times per instance, and steps where errors are common. Start with the opportunity that is narrowest in scope but highest in impact.