LE PERSPECTIVE / THE STORY

Larridin wants to answer a costly question for large companies: what are they getting from AI tools and agents? Its platform connects AI spending to usage and completed work, instead of treating adoption as proof of value.

The company brings seat licenses, token consumption and cloud-model bills into one spending view. It also compares adoption and fluency across teams, linking engineering output and repetitive workflows to the cost of AI tools.

The Difference Between Capacity and Savings
Hours returned by AI are estimates of additional capacity, not automatically cash savings. The question is whether that capacity produces measurable business outcomes.

Using an assistant daily does not guarantee better work. Larridin compares AI-assisted workflows with similar non-AI work, seeking evidence of saved time rather than relying on usage counts.

The platform also gives finance leaders a way to trace expenses across departments and vendors. Larridin made its products available on Google Cloud Marketplace in September, adding another route for enterprise customers to access the software.

The co-founders of Larridin are Russell Fradin (CEO), Jim Larrison (President), and Ameya Kanitkar (CTO).

The bigger shift is from counting AI licenses to evaluating outcomes. As AI bills become a regular budget item, companies will need better evidence to decide which deployments deserve more spending and which need a rethink.

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