The work behind the work, run quietly.
A multi-agent system that handles the repeatable back-office work — email triage, calendar coordination, weekly reporting, customer follow-up, decision tracking — so you can spend your hours on the parts that need a human.
Your inbox triaged to zero before you sit down to work.
Every meeting prepared — context pulled from the relevant emails, documents, and prior conversations.
Weekly P&L and KPI summary in your inbox at the time you set.
Customer follow-up that doesn't fall through the cracks.
Decision log — what you decided, when, and what was true at the time.
Routine questions answered without a human, with a human-in-the-loop where the stakes warrant it.
A multi-agent system built on the right agent framework for the work, with role-specific agents (Email, Calendar, Briefing, Memory, Research) operating against your existing stack — Google Workspace, your CRM, your accounting, whatever the work touches.
A private knowledge graph that holds the institutional memory of your business. Evidence-bound governance — every action the system takes can be inspected, audited, and reversed.
Human-in-the-loop where it matters. The system does not send irreversible communications without an approval gate. You set the threshold.
Scoped per business. The work is in weeks, not quarters. The largest variable is how many systems the agents need to touch and how much institutional memory needs to be transferred into the knowledge graph.
Access to the systems the agents will read and write.
Two to four hours from someone who knows how the back-office work runs today.
Patience for a two-to-three-week tuning window after launch. The system gets sharper with corrections.
Is this just an inbox plugin?
No. The inbox is one surface. The operations system reads and writes across your entire back-office stack. The inbox is where you see the results.
What if the system makes a mistake?
It depends on the action. Anything reversible (a draft email, a calendar suggestion) is handled by the system. Anything irreversible (a payment, a customer-facing email going out) waits for your approval. The threshold is yours to tune.
Does our data leave the building?
Depends on the model. Frontier models are cloud-hosted by their vendors. For workloads where cloud is unacceptable, we run on Vignos — local inference on customer-owned hardware. We help you make the call on each workload.
How is this different from hiring a virtual assistant?
A virtual assistant takes hours of your week to manage. The operations system reduces over time as it learns what you mean. After three months, most clients spend less than thirty minutes a week on it.
Can we add to it after you leave?
Yes. The system is designed so new agents and new tools can be added by your team, or by us on a retainer.
Bring a hard problem. Leave with a system.
The first conversation is a thirty-minute call. We tell you in plain English whether AI will help your business — or whether you're being sold a fantasy.