Workiva's Kim Huffman: governance speeds up AI, not slows it

Workiva is an enterprise software company that develops capabilities for finance and compliance teams, and it is applying its own AI-native approach internally first. That framing comes from Workiva chief information officer Kim Huffman, who described the company's thinking at its Amplify event in conversation with theCUBE Research's Krista Case and co-host Alison Kosik. The event is also where Workiva announced Agent Studio, so the discussion doubles as a look at how the company expects its own customers to use what it is shipping.

The method Huffman describes puts the shared outcome before the tool. Employees from different functions define that outcome together, then identify where artificial intelligence can do parts of the work while leaving room for users to validate and approve what it produces. Agent Studio extends that same idea to non-coders, and Huffman pointed to how quickly teams built something useful for their specific use case as the biggest "aha" moment. Running alongside this is her argument about data: governance functions have historically been seen as slowing organizations down, but she says that in the era of AI, strong governance produces the trust needed to rely on outputs. Her warning against treating AI as a "bolt-on capability" is the same point from the other direction.

What this hinges on is whether the early enthusiasm Huffman describes holds up in ordinary use. The results she cites are internal and anecdotal — teams building something in days — and the value of Agent Studio to finance and compliance teams will likely depend on whether data governance at those organizations is strong enough to make AI outputs trustworthy, and whether employees adopt the redesigned workflows rather than treating the agents as an add-on.