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Identify the highest-ROI processes for AI automation across your organisation. Score your processes, get a prioritised action list, and know exactly where to start.
The most common reason AI projects stall isn't technical failure — it's choosing the wrong process to automate first. Organisations that start with the highest-ROI opportunity build momentum and internal confidence. Those that start with the wrong one create expensive proof that “AI doesn't work here.”
This AI opportunity mapper helps you evaluate processes across five dimensions: volume, manual effort, complexity, error rate, and error impact. It then ranks your opportunities by composite ROI score — giving you an objective, defensible basis for where to invest first.
You'll assess processes across three operational categories: enterprise problems (document processing, compliance, reporting), system operations (data migration, monitoring, integration), and custom business processes (client onboarding, quality assurance, knowledge management).
Walk through three categories of operational processes and identify which ones have the highest return on investment for AI automation. You'll name your processes, score them on five dimensions, and get a prioritised action list.
Business development, SEO, brand management, marketing operations. Universal patterns with proven AI solutions and fast returns.
Onboarding/offboarding, permissions, cross-system visibility, error detection. Repetitive, error-prone processes carrying real risk.
Domain-specific processes where "how we actually do it" differs from "how we think we do it." Where your competitive advantage lives.
Deep dive into the methodology behind this tool
Ensuring AI changes stick beyond the initial project
Why process ownership matters for AI automation
Get realistic costs for your top opportunities
Check if your organisation is ready to act on these opportunities
Assess risk before committing to your top opportunity
The best candidates combine high volume, significant manual effort, moderate complexity, measurable error rates, and high error impact. This tool scores your processes across all five dimensions to produce a ranked priority list.
AI can automate processes across enterprise problems (document processing, compliance), system operations (data migration, monitoring), and custom business processes (client onboarding, quality assurance). The right starting point depends on your specific operational bottlenecks.
Not necessarily. Volume is one factor, but the best starting point balances volume with manual effort, complexity, error rate, and error impact. A lower-volume process with high error impact might deliver more value than a high-volume process that is already relatively efficient.
AI automation ROI depends on the current cost of manual processing (time, errors, delays) versus implementation and running costs. This mapper scores potential ROI across five dimensions to help you compare opportunities objectively rather than relying on vendor claims.