Process suitability
Frequency, value, stability, ownership and whether the process should be redesigned before it is automated.
Most automation projects do not fail because the model is weak. They fail because the process is unclear, the data is unreliable, exceptions are hidden and nobody owns the result.
Take the free automation opportunity assessment to rank candidate workflows, expose the controls you are missing and identify what to automate first. Readiness remains part of the diagnosis, not the end result.
Assess my automation opportunities →The right pilot has a clear trigger and outcome, reliable inputs, known exceptions, a measurable baseline and an accountable human owner.
If your team is copying information between systems, rebuilding routine reports, chasing follow-ups or correcting the same errors every month, there may be a credible automation opportunity. If the work relies on hidden judgement or unstable inputs, automating it will only move the risk faster.
Frequency, value, stability, ownership and whether the process should be redesigned before it is automated.
Whether the inputs are reliable and the systems provide governed integration points.
Where confidence thresholds, permissions, human review and escalation must sit.
What must be measured before a credible return or saving can be claimed.
Stable, lower-judgement work that can move through a controlled automated route.
Work where AI can prepare or analyse, while an accountable person keeps the decision.
Work whose process, data, access or exception load must improve before automation.
High-consequence or judgement-heavy work that should not be handed to autonomous execution.
Select at least five workflows. We will rank them using your operating evidence rather than a generic AI-readiness score.
This assessment provides an operational readiness view based on your answers. It is not legal, privacy, cyber-security or regulated advice, a vendor assurance, or a guarantee of savings. Sensitive data, employment, financial, customer and high-consequence use cases require appropriate specialist review.