The Executive Inbox Doesn't Belong in a Cloud Model
Executive assistants draft correspondence, summarize threads, and prep briefings from material that's often board-level confidential. On-premises AI does all of it — without sending exec email, calendars, or strategy documents to a third-party server.
Cloud AI and Executive Confidentiality Don't Mix
Enterprise cloud AI runs roughly $200/month per seat. Across a 10-person admin and EA team that's about $24K a year — and the real cost isn't the bill, it's the exposure. Every time an assistant drafts a reply from the CEO's inbox or summarizes a board pack, that correspondence, M&A context, and personnel detail is heading to a third-party server. For material that's routinely insider-sensitive, that's a risk no NDA with a vendor fully covers. Open-weight models like GLM-5.3-Flash, DeepSeek V4.1 Flash and Qwen3.8-27B now rival proprietary models on writing and summarization — and they run on hardware in your office.
Executive Confidentiality and Assistant Productivity
Executive Confidentiality
CEO email, board materials, and strategic plans never leave your office. On-premises means correspondence that's routinely board-level confidential stays off third-party servers.
No Insider-Data Exposure
Avoid feeding M&A prep, earnings context, and personnel matters into a vendor model. Architecture, not a policy clause, keeps insider information inside.
Unlimited Inference
No per-token charges, no rate limits, no usage caps. Draft, summarize, and prep as much as you need — through deadline crunches and travel seasons — without watching a meter.
Frontier Open-Source Models
Run GLM-5.3-Flash, DeepSeek V4.1 Flash, and Qwen3.8-27B — strong at writing, summarization, and scheduling-style tasks — on hardware in your office, with no vendor lock-in.
Top 10 Ways Faraday Helps Executive Assistants
- Draft Executive Correspondence — emails, memos, and replies in the executive's voice, with nothing leaving your office
- Summarize Long Threads — condense 50-message chains into actionable briefs, privately
- Prepare Meeting Briefings — attendee bios, context, and talking points pulled from internal docs
- Draft Board Minutes — first-draft minutes from your notes, kept strictly internal
- Manage Travel Itineraries — build and reformat complex itineraries from confirmations
- Prioritize the Inbox — triage and suggest responses without exposing executive email
- Reformat & Clean Documents — turn rough notes into polished memos and decks
- Answer "What Did We Decide?" — query past emails and notes without exposing them
- Draft Talking Points & Speeches — internal-communications prep with zero leakage
- Fixed Admin Costs — one fixed monthly plan for unlimited AI — no per-seat charges
On-Premises vs. Cloud AI for Executive Assistants
| Consideration | Cloud AI for Assistants | Faraday On-Premises |
|---|---|---|
| Data location | Executive email and board materials sent to external servers for every prompt | Executive data never leaves your office — zero confidentiality exposure |
| Pricing model | Per-seat pricing ($200/mo enterprise AI × every assistant) | Unlimited inference for every assistant — no per-seat charges |
| Usage limits | Rate limits and usage caps hit during deadline crunches and travel seasons | No rate limits — your hardware, your throughput, any deadline |
| Model training | Confidential correspondence may train models available to others | No data training — correspondence stays yours |
| Vendor lock-in | Vendor lock-in deepens with every workflow you build on it | — |
| Cost | — | $299 / $599 / $999 a month — hardware, models and support included |
Frequently Asked Questions
Is it safe for an executive assistant to paste board materials into ChatGPT?
It carries real risk. Board packs, M&A preparation and personnel matters pasted into a cloud AI tool are sent to the vendor's servers, where a contract clause, not the architecture, governs what happens next. With Faraday Machines, the model runs on hardware in your office, so executive correspondence and insider-sensitive material never leave the building and cannot train someone else's model.
What does private AI cost for a small team of executive assistants?
A team of 2–9 assistants fits Faraday Machines' Starter tier: a single Mac Studio M5 Max for $299 a month on a 36-month plan, including the hardware, updates, maintenance and support. Enterprise cloud AI at about $200 per seat per month would cost a 5-person team around $12,000 a year, against $3,588 a year for Starter. A combined admin and EA team of 10–19 people fits the $599-a-month Growth tier.
Which AI model is best for summarizing long email threads privately?
For long threads and document packs, DeepSeek V4.1 Flash is the strongest option Faraday Machines ships: it handles up to 1 million tokens of context and runs on the Scale tier as a compressed 1–3-bit build. GLM-5.3-Flash, on the Growth tier as a compressed 1–2-bit build or at 4-bit on Scale, is a strong all-rounder for drafting and summarization, and Qwen3.8-27B on a single unit is fastest for short replies and itineraries.
Can access to on-premises AI be limited to the executive office?
Yes. Because the system sits on your own network, you decide who can reach it. Faraday Machines' management dashboard lets you manage users, and audit logging records access, so use can be restricted to the executive office and its assistants. Nothing is shared with other departments or an outside vendor unless you choose to share it.
Can on-premises AI draft emails in my executive's voice?
Yes. Give the model a few examples of the executive's past emails and memos and it can draft new correspondence in a similar tone. Because those examples stay on Faraday Machines hardware in your office, you can use real correspondence as reference material without exposing it to a cloud provider. The executive or assistant should still review anything sent in the executive's name.
Stop Putting Executive Correspondence in the Cloud
On-premises AI for drafting, summarizing, and briefing. Private, unlimited, and 75% cheaper than cloud alternatives.
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