Free workflow assessment
AI Automation Workflow Opportunity Scorecard
Score a repetitive business process across value, readiness, complexity and risk. Use the result to decide whether to investigate automation, improve the process first or keep it human-led.
Before you begin
Choose one specific workflow
Good examples include customer enquiry routing, invoice data capture, approval requests, recurring reports or document classification. Avoid scoring a whole department or a vague objective such as “use more AI”.
out of 100
Investigate with structured discovery
The workflow may be worth exploring, but readiness, complexity and controls need closer review.
Interpret the result
What to do next
75–100: discover
Measure the baseline, map exceptions, confirm access and define acceptance criteria.
50–74: investigate
Test feasibility and resolve uncertain data, ownership, licensing or integration questions.
30–49: improve first
Standardise the process, improve data and clarify responsibilities before automation.
0–29: human-led
Low volume, high variability or high risk may make another workflow a better priority.
Prepare for discovery
Bring evidence, not just an automation idea
- Monthly task volume and average handling time
- Examples of normal inputs and common exceptions
- Systems, accounts and data locations involved
- Current owners, approvers and handoff points
- Errors, rework, customer delays and operational impact
- Security, confidentiality and retention concerns
- A measurable definition of success
Need a prioritised roadmap?
Turn candidate workflows into an evidence-based plan.
An AI Workflow Opportunity Audit maps current processes, estimates potential value and compares feasibility, risk and implementation effort.
