What's working, what's quietly broken, and what the data we look at every day is telling us about how mid-market stacks are changing.
We looked at 80+ customer tenants. On average, 34% of AI spend is happening on personal cards or uncategorized AP lines. Here's the breakdown by role and by model.
ReadDormant seats, tier downgrades, and multi-year in exchange for a lower unit price. The scripts we give customers, word for word.
ReadA post-mortem on a model-routing exercise. What we saw in the usage data, how we found the split, what the eng team had to change.
ReadThe perverse incentive in percent-of-savings vendors. Why flat gets you better data, a better product roadmap, and a team that isn't trying to invent savings.
ReadAggregated across our tenant base. Ranges by company size. What to know before your next identity renewal.
ReadOne email a month. Benchmark drops, new connectors, what we've learned from the tenant base. No upsell cadence.