Stop Doing Ops Manually.

Can't I just use AI tools to do this myself?

You can, and for some things you should. The real question is how well-understood the process is. If the steps are clear and edge cases are mapped, most of the work is structured automation, not AI. AI plays a supporting role. For newer processes where the steps aren't fully defined yet, AI does more of the heavy lifting, but even then the goal is to learn from it, extract patterns, and move toward reliable workflows over time. Someone still needs to scope that, wire it up, test it, and keep it running as your stack changes. That's what you're buying back.

How fast do you move?

First automation live in days, sometimes hours. We start with isolated quick wins that address the biggest time sucks for your team, then build from there.

What happens if I cancel?

Everything we build runs on your accounts. You keep all automations, dashboards, and documentation. Nothing disappears.

How much work gets done each month?

Enough to keep your ops backlog moving every week. Most clients see their first workflow area fully automated within the first month. The value isn't measured in hours. It's measured in the time your team gets back and the manual work that stops happening.

Is there a minimum commitment?

Yes, 3 months. Ops automation compounds over time, and the first month is mostly scoping and building the foundation. You get a 2-week trial period at the start. After that, we ask for 30 days notice if you need to cancel.

How do I choose between Growth and Scale?

Growth handles everything, one workflow area at a time. Scale moves faster by running two areas in parallel. If you have one clear priority, start with Growth. If multiple areas are bottlenecking your team at once, Scale gets you there faster.

Do I need AI running my workflows?

It depends on how mature the process is. For established processes with known steps, structured automation handles it. No agents needed. For newer processes where the logic isn't fully worked out yet, agents can reason through the ambiguity and fill in the gaps. Most engagements use both. The ratio shifts toward automation as we learn what works.

Will AI always be part of my workflows?

Not forever. The goal is to reduce reliance on them over time. Early on, agents figure out how to handle something. Once a pattern is clear, we encode it into a deterministic workflow. That workflow runs on its own, costs less, and has less variance. Agents stay in the loop for the parts that are still uncertain. As certainty grows, the workflow takes over.