Other AI tools didn't work for me. Why is this different?
Most AI projects die in the prototype stage. Someone demos it, hands you a Loom, and disappears. Nothing gets installed, nothing gets owned, nothing gets used. We don't ship strategy decks. We build the system, plug it into the tools you already pay for, train your team on it, and stay until it's producing. The reason it works isn't smarter AI. It's that we finish the install.
How do I know it actually saves $100k and isn't just a number on a sales call?
We show you the maths before you commit. Hours saved per week, multiplied by your loaded payroll cost, against the cost of running the system. You see the inputs, you see the assumptions, you can argue with both. If it doesn't beat the bar, we don't build it. If we build it and the savings don't land in year one, you don't pay.
Should I wait six months for the tech to mature?
You can. Agent capability will be slightly better in six months. So will your competitor's, who installed today. The cost of waiting is six more months of payroll for work an agent already does for tens of dollars a month, plus the head start everyone else compounds while you decide. A seven-day install means you don't need to commit a quarter to find out if it works.
Can't I just build this myself?
You can, and a few clients tried before they hired us. The honest answer is it's not the building that's hard. It's the integration, the prompt iteration, the eval loops, the handover, and the maintenance when something breaks at 2am. We've installed this exact pattern enough times that we know which corners are safe to cut and which ones bite you in month three. If you've got a lead engineer with six months free, build it. If you don't, we're cheaper than the salary you'd hire to figure it out.
Will my team actually use this, or quietly resist it?
Adoption is the whole game. Most agents fail because they ask people to change how they work. Ours slot into the tools your team already uses (Slack, Gmail, your CRM, your sheets) so the agent shows up where the work already happens. We train the team in the first week, stay on call for the next two, and design the rollout around the people who'll be using it daily. The tedious work just stops landing on their plate.
What happens to my data? How is this different from the other AI platforms?
Your data stays in your tools. We don't store it, we don't train on it, we don't share it. Most installs run on your existing platforms and your own API keys, which means the data path looks the same as it did before us. We sign NDAs by default. If you operate under SOC 2, HIPAA, or GDPR processing rules, tell us on the call and we scope around them. The difference from a consumer AI tool is simple: nothing leaves your stack.
What's the actual timeline from call to live system?
Discovery call, then a scoping doc within 48 hours that lists exactly what we're building and the projected saving. If you green-light, we install in 7 days for the standard pattern, up to 30 days for multi-department builds. Day one of the install you see the first agent running. Last day we hand you the dashboard, the runbook, and the team is using it without us in the room.
Live in 3 days
