Automate workflows with AI
The biggest gains from AI lie in the workflows where people read, summarise, write or move information between systems. This guide shows how to find them, assess them, and build automation that actually holds up in production.
Where is the value?
- Repetitive workflows with clear rules.
- Workflows where the information lives in text, documents or email.
- Workflows currently carried out by several people in parallel.
- Workflows where lead time or error rate is a business problem.
How to identify candidates
Logging the current state
Measure time, errors and lead time before you touch the workflow.
Interviews with the people doing the work
The people doing the job know best where it hurts.
Assessment of impact and risk
Build a list and assess it, rather than discussing everything at once.
Logging the current state
Measure time, errors and lead time before you touch the workflow.
Interviews with the people doing the work
The people doing the job know best where it hurts.
Assessment of impact and risk
Build a list and assess it, rather than discussing everything at once.
Build without losing control
Start narrow with a clearly scoped workflow. Put logging in place, measure quality, and expand only once it is stable. A human should be able to step in until trust has been proven.
Where to go next
Not sure which step is right for you?
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