"AI Coworker" Claims: What They Should Have to Prove Before You Believe Them

Two of the bigger names in practice management software both shipped an "AI coworker" this year. Karbon launched Kai, built into the platform where a firm's client history, workflows, and communications already live, currently in early access. TaxDome launched TaxDome AI, aimed at easing document management tasks. Both are real products from companies with real engineering behind them, not vaporware.

But "AI coworker" is a big claim, and a demo is not the same thing as your firm's actual data on a normal Tuesday. Before trusting any AI feature, including ours, here's what's worth actually testing.

Ask what it does on your data, not the demo data

A polished demo runs on clean, curated examples. Your firm's real client list has messy transaction histories, inconsistent document naming, and clients who don't answer emails on time. Ask specifically: does this feature work the same way on a real, unedited piece of your firm's actual work, or only on the version built to show it off well?

Ask what happens when it's wrong

Every AI feature gets something wrong sometimes. The honest question isn't whether that happens, it's what happens next. Does the tool flag its own uncertainty, or does it present a guess with the same confidence as a fact? Is there a clear, fast way to correct it, or do you have to work around the tool to fix what it got wrong? A vendor that can't answer this clearly probably hasn't stress-tested it enough to know.

Ask whether it's included or upsold

Some AI features are the headline reason to buy the plan. Others are gated behind a higher tier once you're already signed up. Neither is dishonest on its own, but it changes what the pricing page is actually telling you. Worth asking directly: is the AI feature in the plan you're evaluating, or is it a separate add-on you'll be quoted for later.

Ask what it actually replaces, in steps, not in adjectives

"Saves time" is not a specific claim. "Drafts a workflow from a plain-English description instead of you building one from a template" is a specific claim, and it's one you can watch happen in a trial. Push past the adjectives to the actual before-and-after: what were you doing manually, and what does the tool do instead, step by step.

The bar we hold ourselves to

We built FirmLync around two AI features we can point to exactly this way. Paste an old process, a spreadsheet, or a plain description of how you already run an engagement, and FirmLync drafts a structured, editable workflow from it. Ask a plain-English question like "what's overdue" or "what did we bill this month," and get an answer directly, instead of digging through a report menu. Both are included with every plan, not upsold, and both are things you can test on your own data in a free trial, not just watch in a demo video.

That's not a claim that competitors' AI features don't work. Karbon and TaxDome are both investing real effort here, and Kai in particular is still in early access, which is itself an honest signal that they're not claiming it's finished. It's a suggestion for how to evaluate any AI claim in this category, including ours: ask for the specific thing it does, on your data, with a clear answer for when it's wrong.