AI and Automation
Where to start with automation in your business
Map one routine, understand its exceptions and define review points before connecting tools or adding AI.
Start by observing a repetitive task: moving data between tools, organizing requests or routing information. Before automating it, record the trigger, the data involved and when someone needs to make a decision.
Map the routine as it happens
List the steps and exceptions. A seemingly simple routine may depend on incomplete information, changing priorities or rules that exist only in the team’s memory. Include those situations in planning.
Separate clear rules from interpretation
Some stages follow defined conditions, such as creating a task when a form arrives. Others involve interpreting content or choosing where to route it. That distinction helps identify where AI could be useful and where a simple rule works better.
Not every automation needs AI. First, understand the problem and what can be validated.
Define what happens when something fails
- Who receives an alert when the destination tool doesn’t respond?
- Can the flow run again without duplicating information?
- Which situations need human approval?
- What data is necessary and who can access it?
- How does the team monitor what has run?
Start with a bounded test
Choose one routine, a group of people and an evaluation period. Agree on review criteria and retain a way to return to the manual process. The first stage should teach you about the flow and its dependencies before you expand it.
Explore AI and automation and organize your idea in the quick quote.