Your AI agents don't have a budget.
Your team deserves more than charts.
Both problems have the same solution. We built Acticly because we lived this story ourselves — and we couldn't find anything that solved it.
How we got here
Nobody was watching the meter
We gave our team AI coding agents three weeks ago. Within a month, one developer had a $25 session he didn’t even notice. Another ran 47 sessions in a single day. Our monthly AI spend was tracking toward $7,500 and climbing. Nobody did anything wrong. The agents were doing their job. The developers were productive. But nobody was watching the meter.
We tried to answer a basic question
Should each developer be on a token-based plan or a flat subscription? Turns out one dev was overpaying $126 a month on a plan he barely used. Another was underpaying and about to get a billing surprise. Without per-user data, we were just guessing.
We’ve seen this movie before
Sound familiar? It should. It’s the same thing that happened with AWS a few years ago. The budget controls existed from day one. Nobody set them up. Thousands of developers launched instances, followed a tutorial, never configured an alert, and woke up to a bill that made their stomach drop. That’s exactly where AI coding agents are right now. Teams are rolling out Claude Code, Cursor, Codex — across 20, 50, 100 developers — with zero spending limits, zero per-user visibility, and zero way to know if the spend is actually making anyone faster.
But the cost problem was just the surface
Underneath it was a question we’d been struggling with for years as co-founders leading engineering teams: are we actually shipping well, or just shipping? We watched great engineers burn out while every metric said things were fine. We sat through leadership meetings where someone asked “What’s the ROI on these AI tools?” and the room went quiet. Everyone felt like things were faster. Nobody had numbers. We had dashboards full of charts and no real answers — not about productivity, not about team health, not about whether the developer running 47 sessions a day was thriving or drowning. That was the breaking point.
So we built Acticly
It does two things — and connects them in a way nobody else does.
Control your AI spend
Per-developer cost visibility in real time. Budget caps per user. Alerts before you blow through limits. Token vs subscription comparison so you stop overpaying for both.
Know if it’s actually working
Real delivery data. PR velocity. DORA metrics correlated with AI tool usage. Adoption tracking across your team. And burnout detection before you lose your best people — because the developer who’s 4x the team average in AI spend might be your most productive engineer or they might be the one about to quit. The number alone doesn’t tell you. The context does.
No more dashboard archaeology. Ask a question in plain language, get a validated answer about how your product is being built, how your team is doing, and whether your AI tools are actually helping.
We'd love to hear how your team is handling this
Take a look at what we built — or drop us a line. We read every message.
Prefer to browse first? See what Acticly does.