How to identify AI opportunities inside your business
Start with the workflow, establish a baseline, and compare potential changes before choosing a tool.
Read the guide →ClearPath insights
Better questions.
Better AI decisions.
Practical thinking for leaders deciding what to change, what to automate, and how to make implementation worthwhile.
Start here
From opportunity to business case.
AI automation vs. traditional automation
Understand where predictable rules are enough, where AI can help, and where a hybrid design makes sense.
Read the guide →How to calculate ROI on AI automation
Build a transparent cost model, distinguish capacity from savings, and test the assumptions that matter.
Read the guide →Sample deliverable · illustrative only
What an opportunity brief can look like.
A document-heavy onboarding workflow, examined before choosing the technology.
This sample demonstrates our approach. It is not a client case study, a deployed system, or a claim of achieved results.
Where does work get stuck?
Requests arrive by email. A coordinator copies information, follows up on missing documents, and creates a project record. Discovery establishes the real steps, exceptions, owner, and baseline.
Make the handoffs explicit.
Validate required information, extract candidate fields where AI is useful, route ambiguity to a human, and update the system only after agreed checks. Preserve a manual fallback.
Test before committing.
Evaluate complete, incomplete, duplicate, and failed-integration cases. Agree quality thresholds, costs, operating ownership, and acceptance criteria before a build.
See an illustrative capacity calculation
Assume 200 requests per month at 20 minutes of active handling each: 66.7 hours. A planning assumption of 12 minutes per request gives 40 hours, a difference of approximately 26.7 hours per month.
These are invented assumptions, not measured results or a forecast. Validate them in a pilot, account for review and exceptions, and include implementation and operating costs. Released capacity is not automatically cash saved.
The assessment output is a current-state map, prioritized opportunities, feasibility and risk notes, cost and benefit assumptions, and a recommended next decision. The answer may be to build, simplify, gather more evidence, or stop.
Discuss your workflow by email →Connect the thinking to a real initiative.
Not sure where to start?
An AI Opportunity Assessment can map candidate workflows and prioritize the next decision.
Already have a workflow in mind?
Explore agents and automation, or examine the process first with business process redesign.
These guides are educational frameworks. Illustrations and calculations are hypothetical and do not represent client results or promised outcomes.
Start with the business problem
Tell us what you want to improve.
You do not need a technical brief. Bring the workflow, the bottleneck, or the idea. We will discuss a practical next step.
Discuss your workflow ↗