Every professional services firm has a staff member nobody hired. It's the one who writes "just following up on the below" twenty times a day. In accounting, law, conveyancing, broking and advice firms, that work is spread across everyone, and it quietly eats the best hours of your best people. It's also the single best first job for an AI agent.
I'll explain why document chasing is where we usually start, what the agent needs to know to do it well, the chase sequence we use, and the lines it never crosses.
When we run the Context step with a firm (check the data, pick one job, agree what done means, measure today's cost), document chasing nearly always wins. Here's why:
We wrote about this in our post on AI agents for accounting firms, but it applies just as well to a law firm waiting on signed authorities or a broker waiting on a claims history.
An agent can't chase what it can't see. This is where most "AI automation" falls over, and it's the reason most AI agents fail because of the data, not the model. If the document list lives in a staff member's head, the agent has nothing to follow.
So before we switch anything on, we set up HubSpot so every file carries its own checklist:
With that in place, the agent can answer the only question that matters for any file: what's still missing, and who do we need it from?
Chasing well is mostly about being specific and persistent without being annoying. The sequence we start firms on looks like this (the timings are an example; we tune them per firm):
That last step matters more than people think. The most irritating thing a firm can do is chase someone for a document they sent yesterday. Because the agent works from the record, not a calendar reminder, it doesn't.
If this sounds familiar, it's the same pattern we use for quote follow-up agents in the trades: know the state of the record, follow up on what's outstanding, stop the moment it changes.
Your clients already have a relationship with your firm, and the agent has to sound like you. So every agent we build starts by drafting. A team member approves each message before it goes out, and edits it if it's off. That's the Coordination step: people approve, agents act.
An agent only earns the right to send on its own once 95% of its drafts have been approved unchanged for two weeks. Until then, it's a very fast junior who writes everything for you to check. Most firms find that after a fortnight or so of approving the same reminder over and over, they're happy to let it go.
Clear boundaries make an agent safer and easier to trust. Ours are written down before the build starts:
McKinsey's State of AI report found that while 88% of organisations use AI, only 39% report any EBIT impact. The gap is usually measurement: nobody wrote down what the old way cost.
So every agent gets a monthly scorecard. For a document-chasing agent, that means requests sent, documents received, average days from request to complete file, hours of chasing it took off the team, what it cost to run, and the net return. As an illustration only: if a firm's team spent eight hours a week chasing before, and two after, that's six hours back for real work, every week, measured rather than guessed.
Want to see what this looks like with your own files? Book an AI Readiness Audit and we'll measure what chasing costs you today and map the checklist, or jump to Build my solution if you're ready to get started.