Stop copying the same work between systems.
Find the recurring job your team should hand to AI, test it against the way the work runs today, and keep a person in charge of the exceptions.
Follow the job before choosing the tool
A quote starts in an email and ends in a spreadsheet. Someone retypes invoice details into the accounts system. The weekly report needs the same files from the same people, and still arrives late.
These are starting points for a discussion, not promised results. Fifth Nine follows one job from the request to the finished work: who touches it, what information is missing, and where a person has to make a judgment.
Some steps need a fixed rule or a connection between systems. Others may suit AI. Work with unclear instructions or expensive mistakes may need to stay with a person.
Test the work, including the mistakes
Before a system acts, agree on which accounts it can reach and which actions need approval. Try representative examples, incomplete requests, and cases that should stop for review. Compare the output with the current job on staff effort, errors, and running cost.
The person who will own the job needs a way to see what ran, correct it, and stop it. Training, access, and the response to a failed run belong in the build scope.
The AI Audit comes first
The paid AI Audit maps and measures a job and identifies the first work worth taking on. You keep the plan whether or not Fifth Nine builds it.
If you go ahead, the Build puts the agreed job to work on your accounts, behind your approval. An operating-partner engagement covers review as the work changes and the next jobs to consider. Each step is a separate decision.
For the trade-offs between manual work, fixed rules, and AI, read AI automation vs. traditional workflows.