AI agents for finance teams in marketing agencies

A client upgrades their retainer mid-month and someone has to work out the prorated fee by hand, then remember to reflect it correctly on the invoice three weeks later when the billing cycle actually runs.

→An agent tracks every scope change the day it happens, calculates the correct proration against the effective date, and drafts the next invoice with the adjustment already applied and ready for approval.

Billing a client for their ad spend means downloading numbers from Google Ads and Meta separately, applying the agency's markup by hand, and hoping the total matches what was actually approved for that budget period.

→An agent pulls actual spend from each ad platform, applies the client's agreed markup, and drafts the pass-through line item on the invoice, so the billed amount always matches what the platforms actually charged.

Overdue invoices all get the same generic reminder regardless of whether they are three days or thirty days late, so a genuinely at-risk account looks the same in the inbox as one that just missed a payment run.

→An agent tracks how many days each invoice has been outstanding and escalates the tone and urgency of the chase as it ages, so a thirty-day account gets treated differently than a three-day one from the first message.

Paying a freelance designer or media buyer means someone manually checking their submitted hours or deliverables against what was actually agreed before approving the invoice, one freelancer at a time every month.

→An agent checks each contractor invoice against their logged time or delivered work before it reaches an approval queue, flagging any mismatch so a bad invoice never slips through because nobody had time to check it.