What does this actually cost me per month?
The service fee depends on the tier. Foundation is $500 per month with a $1,500 setup fee — that gets you three AI assistants: one that routes your tasks, one that handles your inbox, and one that watches for failures. Each runs in its own locked-down environment with monitoring and monthly reviews. Growth is $1,000 per month with a $3,000 setup — five assistants with expanded capability, adding content drafting and record-keeping. On top of the service fee, expect roughly $150–$350 per month in API costs and $15–$25 for server hosting. So a Foundation client's total monthly spend lands around $665–$875. No hidden fees, no per-ticket charges, no annual surcharges. The price on this page is the price.
Why can't one AI tool handle everything?
One tool can handle a lot — until it has access to everything at once. Here's the thing: when a single AI assistant holds your email logins, your payment system, and your publishing tools all in the same session, one bad prompt or one security flaw exposes all of it. Splitting responsibilities means your inbox handler can't touch your payments, and your payment handler can't touch your publishing. It's the same reason you wouldn't give one employee the keys to every room in the building.
Read: AI Agent Got Hacked and Nobody Clicked Anything — covers the exact attack this setup protects against.
What happens when something breaks?
Every deployment ships with a troubleshooting guide written in plain English. If X breaks, it tells you exactly what happened and how to fix it. On top of that, the Watchdog agent monitors for failures in real time. If something goes sideways, the damage stays inside that one agent's area. I've dealt with agents getting stuck in loops, agents losing their memory between sessions, and agents trying to access things they shouldn't. The guide exists because I've already hit those problems and documented the fixes.
How do you keep my business data safe?
Each agent runs with its own separate logins and permissions — think of it like giving each employee their own keycard that only opens specific doors. Your inbox agent can read messages but can't access payment data. Your payment agent can process transactions but can't read your emails. No single agent has the master key to everything.
Read: AI Agent Security — Practical Hardening — walks through the specific security measures we apply to every deployment.
Why trust a solo operator instead of an agency?
I built this system to run my own business first. Five AI assistants — task routing, inbox, failure monitoring, content drafting, and record-keeping — handle my operations every day. I've shipped live systems for real businesses, fixed real failures like assistants getting stuck in loops and assistants forgetting context between sessions, and published the security research behind what we deploy. Agencies sell what they can build. I sell what I actually run and operate daily.
Read: AI Agent Security — What's Actually Happening — covers the real threats I protect against and the security research behind this work.
How long until I have a working system?
Most Foundation deployments are live within two to three weeks. Growth deployments typically take three to five weeks depending on how many business workflows are involved. Every engagement starts with a discovery call where we map what goes live first and what can wait — so you're running production agents quickly, not sitting in a six-month planning phase.
Do I actually need this, or is basic automation enough?
If your business runs on one or two simple automations — a chatbot, a scheduling tool — you probably don't need this. It matters when AI starts touching real operations. Handling money. Managing inbound messages. Publishing content. Accessing sensitive data. Once that's happening, the real question changes. It's not "do I need more AI." It's "does each AI assistant need its own walls so one failure doesn't take everything down." If that hits home, we're talking about the same problem.