Enterprise & agencies
A 30-minute working session with the founder: your clients, your volume, your compliance requirements, mapped onto the platform in real time. No slideware.
Not at scale yet? The standard plans self-serve, first article on us.
A few details first, so the call starts at your use case instead of the basics. Then you pick the time.
Every client gets a trained writer, its own knowledge base, and a visible learning ledger. Twenty clients across a dozen channels is 240 voice-and-format combinations — the platform holds them in data, so consistency never depends on anyone's memory.
Every draft carries an issues log: what the fact-checker flagged, what the reviewer changed, what it cost. Client approvals happen on logged review links. When a piece carries a byline someone has to answer for, there's a record.
Per-piece costs shown before drafting and after, usage tracked per client, and reporting exports that drop into your own client dashboards. Margin math stops being a spreadsheet guess.
The deeper technical story is in the white paper; the security posture is on the trust page; the full capability list is on the AI ghostwriter page.
Thirty minutes, working session, no slideware: your real workflow mapped onto the platform live. Typically that means setting up a client the way you would, briefing a piece in their voice, watching the pipeline run, and walking the approval and reporting loop. Bring a real brief and leave with a real draft.
Roughly: more than the listed plans comfortably fit. Multiple seats across a team, many client voices, volume commitments, procurement or vendor review requirements, or integration needs beyond the standard app. If you're unsure, book the call — the standard plans self-serve and the demo will tell you honestly which side you're on.
The common asks are publishing into your CMS, connecting your approval chain, and reporting into your client dashboards. Scope varies by stack, which is exactly what the demo call is for — bring your workflow and we'll map what's direct, what's export-based, and what needs custom work.
The standing posture: customer content is never used to train AI models (contractually and technically), every workspace is tenant-isolated with row-level security in the database, and nobody at Ghosts reads your content in normal operation. Law-firm workspaces add firm-controlled retention with hard deletion and a provable purge log. The trust page, privacy policy, DPA, and subprocessor list are public; deeper diligence questionnaires go through the demo call.
The listed plans run to $99/seat (Agency) and $150/seat (Law Firms) with per-seat monthly credit allowances. Beyond that — high seat counts, volume credit commitments, custom integration — pricing is scoped on the call. You'll see per-piece costs transparently either way; that's how the product works at every tier.
The platform itself is same-day: create clients, brief projects, train voices, and draft. The real ramp is voice training and project setup per client, which most teams stage over their first week or two. White-glove onboarding for larger rosters is part of the enterprise conversation.