AI & Automation Articles
What we automate, how it holds up in production, and the parts people underestimate.
AI and automation in a UK business is software that carries the steps of a process that has a known next action. Staff copy fields between applications or retype figures from a file. The software runs those steps when the trigger appears and writes the result into the next place. It won't continue when a rule says a person has to decide. The actual work sits in the process map and in who owns the cases that fall out.
An operations director in a firm of 20 to 200 people is sold a tool rather than a working process. A path that copes with a trickle can jam when the inbox is full. If nobody watches the exception queue, a stalled case sits there as if the process had finished. You'll need a way to notice when a login expires or a system change breaks a step, because the failure often looks like silence instead of an error.
4 articles in AI & Automation
AI & Automation: common questions
How do you decide which business processes to automate first?
The first process should be one your team already runs the same way most of the time, with data that sits in a system you own. High volume and a clear trigger beat a rare, impressive task. Records copied between two applications are a better candidate than a client decision that changes with every case. If the path still depends on a workaround only one person knows, write that down before anything is built.
What happens when AI automation makes a mistake?
When an automation is wrong, the usual result is a bad record in the next system rather than a visible crash. A wrong total can enter the ledger. A status can update a client record. The software doesn't announce that it guessed. Uncertain cases should stop and wait for a person. Review the failures after go-live, and keep a list of which records were reversed.
What is the difference between AI and automation?
Automation follows a defined path: a trigger, rules and an outcome in the next system. AI is the part that reads an email or a PDF and maps it onto that path. A workflow can move a record without any AI. AI becomes useful when the incoming work is unstructured and a person has to interpret it first. The risk is treating a chat answer as finished work when nothing has been written into a system you can check.
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