Stop running blind experiments on your org.
Your product changes get tested, tracked, measured. Your org changes happen on vibes. Clayos finds what's slowing your company down, names the fix, and proves it worked in days, not quarters.
Three signs you’re running blind.
You hired the best team. You introduced AI. A dozen fixes, none of them held. Built for the moment what worked at 10 stops working at 50. When “we’ll figure it out” isn't enough anymore.
Something feels off, and you can’t pin it down.
Velocity drops, but no dashboard says where. Meetings feel productive. The team looks busy. The drag is everywhere and nowhere.
Your company got bigger. Your processes didn’t.
Your org runs on duct tape and goodwill. The systems never caught up with the headcount. Tribal knowledge instead of repeatable process.
Decisions that used to take days, now take quarters.
What used to take a quick thread now takes three meetings, two approvals, and a memo. Headcount went up. Velocity went down.
Build your org with a real-time feedback loop.
Read
Cross-source patterns surface where the operational machinery jams, and how much each friction is costing you per month. Read-only OAuth, no migration, no team training.
Fix
For every bottleneck: the suggested action step by step, the failure modes to watch, the KPIs that prove it landed.
Prove
KPIs, dysfunction signal, and costs. All tracked alongside the action. Stop fixes that aren’t working before they cost you another quarter. Double down on the ones that are.
What we see, what we don’t.
Read-only by default. Aggregated by design. We surface process patterns, never people.
- Process patterns in how work flows across teams
- Metadata: who collaborates with whom, how often, when
- Aggregated team signals and bottlenecks
- Estimated monthly drag, in euros
- Individual rankings or performance scores
- Message content, code, or document text
- Direct writes to any of your tools
Scale without breaking.
Founding Pilot. 10 companies. 3 months.
Half an hour with the founder. If it’s a fit, we’ll both know.