For CPOsYou want to ship more. You’re afraid the wrong thing ships.
Your PMs aren’t slow. The cost of being wrong is high, so the company debates each AI feature carefully. The ones that survive the debate are the ones with the most internal champions. That isn’t always the same as the features your customers would actually use.
Telbase changes the order. Your PMs build the experiment on infrastructure that’s separate from yours. They put it in front of real users: internal teams, beta customers, a sample group. The ones that get used graduate to your stack. The ones that don’t never have to. The roadmap stops being a list of bets and becomes a list of things people are already using.
What this looks like- A workflow prototype goes live on Tuesday. Five teams adopt it by Friday.
- A feature you’d have spent a quarter debating gets validated in two weeks.
- The features on your roadmap have usage data attached before you commit engineering to them.
For CTOsYou want to free up engineering. You’re afraid an AI prototype takes you down.
Your engineering capacity is the constraint on everything. Every AI experiment that lands on the platform team’s desk competes with the work you actually committed to ship. So most things get a “not this quarter,” and the company starts feeling like it’s behind.
Telbase moves the experiments off your platform team. Telbase runs the infrastructure. Your team’s code lives in your team’s GitHub. Deployment isn’t your platform team’s problem until an experiment graduates. Engineers stay on strategic work. Experiments that prove themselves come back with usage data and a clear case for engineering investment. The ones that don’t never reached you.
What this looks like- Engineering capacity is no longer the rate limit on AI exploration.
- The platform team reviews graduations, not hypotheses.
- A failed experiment costs your team nothing.
For CIOsYou want visibility. You’re afraid of what you can’t see.
Shadow IT is what happens when the sanctioned path is too slow. Employees who need to ship something find a way around it. The way they find isn’t in your inventory and doesn’t factor into your audit.
Telbase is faster than shadow IT, and visible. Every experiment runs in your org’s account, with cost attribution by team. One catalog shows you everything across the org: what’s deployed, who built it, what it costs. When an experiment graduates to production, your security review happens with usage data already in hand. That’s when security review actually catches the right things.
What this looks like- One catalog of every active experiment across your org.
- Cost attribution by team, automatically.
- Security review is informed by real usage, not hypothetical risk.