It researches the company you're meeting, writes the deck, files the follow-up, and hands you the morning brief before you ask. One agent per company, and it only ever sees your company's data.
You take the call, write the proposal, chase the follow-up, and research the next prospect at eleven at night. An assistant is a hire you can't justify yet, and a general chatbot doesn't know a thing about your business.
Every session starts from zero. You re-explain your pricing, your positioning and your customers before you get one useful paragraph.
The real answer is in a deck from March, a contract in Drive, and a note on your phone. None of them talk to each other.
Most multi-tenant AI is one prompt away from mixing your data with somebody else's. That is a risk you can't take with client work.
Not a chat window with a personality. A working set of skills, each of which produces something you can send.
Web research with sources attached, plus lead and company research that gets indexed the first time so the second person asking gets it instantly.
Proposals, decks and reports as real DOCX, PPTX and PDF. Business cards go in through the camera and come out as contacts.
Tasks and reminders, a daily brief, meeting prep before the meeting, and scheduled automations that run whether or not you open the app.
Point it at your decks, contracts, notes and Drive. Then ask the questions you currently answer from memory.
Answered from your own documents, with the file it came from. No more opening four folders to check a number.
Connect Google Workspace and your existing folders become searchable context, kept current instead of copy-pasted once.
Before every calendar event: who they are, what happened last time, what you promised, and what changed at their company since.
Photograph the card at the event. The contact and the context are in your workspace before you leave the hall.
A Monday pipeline summary, a weekly competitor sweep, a monthly board update draft. Set once, arrives on time.
Per-tenant limits and rate limiting, visible to you. You always know what has been spent and on what.
Multi-tenant AI fails quietly. Ours was built assuming that, then attacked until it held: separate storage per tenant, row-level rules on the database, and a model backend with no operator context, no shell, and no file access. Each control was demonstrated failing against a deliberately vulnerable build before it was trusted — a probe that only ever passes is decoration.
The tenant-isolation suite runs on every deploy and blocks the release if a single probe comes back clean when it should not.
A skill without its integration returns a clear 503 and says which one it needs. Nothing else in the product is affected, and nothing degrades silently.
Single-tenant deployment on your own infrastructure, if your clients' data requires it.
Priced on the workspace and its usage tier, not on how many tabs your team opens. Single-tenant deployments are quoted separately. We size it with you before anything is signed.
We provision your workspace, load your documents, and connect your calendar. By day three it briefs you before the meeting instead of after.