What this is
A structured assessment of where AI and robotic process automation (RPA) would deliver a measurable return in your operation — and, just as importantly, where they wouldn't. The output is a ranked set of candidates, not a platform recommendation.
Vendor-neutral by design. The assessment starts from the process, not from a product. A tool gets selected once the use case is proven, not before.
What's assessed
- Task volume and repetition — high-frequency, rule-based work is the strongest automation candidate
- Exception rate — tasks with frequent edge cases are poor early candidates until the exceptions themselves are understood
- System landscape — what's already in place, and what an automation layer would need to integrate with
- Failure cost — what happens when the automated version gets it wrong, and how that risk is managed
The process
- Scoping — the function or process area under consideration is agreed.
- Current-state review — the process is mapped or reviewed against existing documentation, to the depth needed to identify genuine candidates.
- Candidate identification — tasks are assessed against volume, exception rate and system fit.
- Ranking and roadmap — candidates are ranked by return and sequenced into a phased plan.
Timeline depends on the scope and the state of existing process documentation, and is confirmed project by project.
What you need to provide, and where it comes from
- A process map or workflow description, where one exists — from prior mapping work, or built as part of this engagement where it doesn't
- The current tool and system stack — typically an IT asset list or simply what's in daily use across the team
- Volume data for the task under consideration — pulled from whatever system currently records it, or estimated manually where nothing does
Why process comes first
Automating a broken process doesn't fix it — it runs the same failure faster and at greater scale. Every AI or automation recommendation from GENCO is built on an understanding of the underlying process, not a generic assumption that automation is inherently an improvement.
Common questions
How do you decide what to automate first?
By starting from the mapped process. High-volume, rule-based, low-exception tasks are the strongest early candidates.
Is this tied to a specific vendor?
No. The assessment is vendor-neutral — the tool is chosen once the use case is proven, not the other way round.
What does the output look like?
A ranked list of automation candidates with an estimated return, the technical approach required, and the risk of getting it wrong.