One operator console to run AI-assisted support across all your clients — each tenant sealed off, every reply human-approved, every action written to an audit trail.
The operator's squeeze
Every ticket a human writes from scratch is cost. You can't take on more clients without more headcount — and the maths stops working.
A single bleed between two clients' data is an existential breach — and today you promise that separation with process, not architecture.
An open-ended usage meter is impossible to price to a client. You need AI spend that's bounded per account — with a ceiling you set.
What Atlas is
A support workforce, not a chatbot — built for firms that run support for many clients at once.
Inbound from email, web chat and WhatsApp becomes unified work items; the AI drafts a reply grounded in that client's own knowledge base, with citations — and nothing sends until one of your agents approves it.
Underneath sits the part built for firms like yours: database-level isolation between every client, per-client keys and spend budgets, an append-only audit ledger, and a single operator console above all of it.
How it works for you
Create the client org, set their plan and spend budget, choose their AI key. Isolation is enforced from the first record.
Wire their channels into one queue and import their history, so the AI sounds like them on day one.
The AI drafts a grounded, cited reply; your agent reviews and approves. It sharpens with every edit — and once an intent is sent verbatim enough, it can earn autonomy and send on its own, still inside the audit trail.
Watch per-client spend and inspect the audit ledger for any case — across your whole book, from one screen.
Built for the fan-out model
Each client is a hard-isolated tenant — data, keys and budget — separated at the database layer, so a query mistake can't cross client lines. Prove it, don't just promise it.
LiveOnboard, re-plan, suspend, and watch spend on every client from one place — the control tower no shared client login could give you.
LiveWho drafted, who approved, what sent, what it cost — every action, append-only. When a client asks "who did what," it's a record, not a reconstruction.
LiveHuman-approved today. As an intent proves itself — replies sent verbatim, no corrections — Atlas can let it send on its own, per client, per intent, and steps back the moment corrections resume. Never a blanket switch; the governance stays as the safety envelope.
LiveA spend budget with real enforcement — notify, throttle, or block at the limit. Price every account with a known ceiling instead of a surprise bill.
LiveImport a client's history and the drafts sound like them from day one; a learning loop sharpens every reply as your agents edit.
Live · early| Client | Plan | Status | MTD spend | Budget | Key | Seats |
|---|---|---|---|---|---|---|
| Harbour Foods | Growth | active | €184.20 | €250 · block | own | 12 |
| Breadbasket Co. | Starter | active | €41.05 | €50 · throttle | platform | 5 |
| Contoso Retail | Growth | past due | €238.90 | €250 · block | own | 18 |
| Au Pain Ville | Trial | active | €6.30 | €10 · throttle | platform | 3 |
| Fabrikam Group | Enterprise | active | €612.40 | custom | own | 40 |
The product is the proof
We're pre-launch and honest about it. Instead of a wall of customer logos, judge the thing itself — the console, the live audit stream, the approval gate — and talk to the people who built it.
The economics
We won't quote you a savings figure — you know your economics better than we do. Your labor is your cost of goods; Atlas drafts the reply, your agent approves it. Put your own numbers in.
The question isn't "what does Atlas cost?" It's "what does one approved reply cost you today — and what could it cost with a draft already written?"
Illustrative — outputs are only as good as your inputs, and a human still approves every reply, so quality is your floor, not a variable we removed. Assumes an 8-hour day, 21 working days.
Founding Partner Program
We're onboarding a small group of agencies, BPOs and MSPs as founding partners — the firms that shape the product get terms no later customer will.