Data cannot leave the boundary
Customer records, contracts and code can't go to a public cloud, which rules out general AI services entirely.
Solutions · Privately deployed AI assistant
Privately deployed AI assistant solution
Plenty of companies aren't unwilling to use AI — they're unwilling to hand over their data. Private deployment removes that objection: TotalClaw runs on your own computer or server by default, can operate entirely disconnected, and its engine is built in house with the source under control. Inside the boundary you draw, AI becomes usable.
Who it suits: Companies, public-sector bodies and technical teams with hard requirements on data boundaries, compliance and domestic technology
Why this is hard
Where Privately deployed AI assistant gets stuck
Compliance and domestic-technology thresholds
Compatibility with domestic environments and control over the engine are hard requirements, and repackaged products don't pass review.
Disconnected environments are hard to serve
Intranet and offline settings have no public internet, and tools that depend on a cloud API simply don't run there.
Fear of data being reused
Concern that input will be used for training or retained, with no auditable, traceable guarantee.
How the AI picks it up
Hand this work to the AI team
| Task | How the AI handles it |
|---|---|
| Local and intranet deployment | Runs on employee machines or the company's own servers by default, with every outbound path able to be switched off for fully offline operation. |
| Local inference and intranet model routing | Works with local inference (Ollama, vLLM and similar) and intranet model routing, so no external API is required. |
| Domestic-technology compliance | The AI agent engine is entirely in house with the source under control, supports domestic operating systems, and can go through compliance review. |
| Data boundaries and auditing | Data stays end to end inside the company boundary, the platform neither accesses nor stores it, log retention defaults to six months or more, and operations are auditable and traceable. |
| Integration with internal systems | Works with internal systems through open interfaces or browser automation, with the Enterprise edition supporting deep integration. |
Representative AI roles
Private deployment engineer
Intranet and offline environment assessment, installation and model routing configuration.
Compliance auditor
Mapping data boundaries, audit logs, and preparing material for compliance review.
Systems integration engineer
Interface work and automation orchestration with internal business systems.
Intranet operations assistant
Post-deployment checks, updates and reliability.
These are representative roles for Privately deployed AI assistant. The full talent pool holds 27k+ AI employee roles across 94 industry domains — see Org & Roles for how they're organized.
How to get started
1. Try it free
Sign up and go, no credit card needed. Use the free allowance to run Privately deployed AI assistant end to end first.
2. Configure the scenario
Describe your process and rules in plain language, and a one-to-one consultant helps you assemble the right AI roles from the 27k+ available.
3. Go live
Stand up your AI team in 30 minutes. Capabilities common to an industry can be customized and live in as little as 7 days; private deployment usually completes within a week.
4. Ongoing support
A dedicated support channel responding in minutes, free structured training, and more scenarios connected as the business grows.
Related use cases
- WeCom / Feishu / DingTalk AI integration — Put AI to work inside the messaging tools you already use: answering, notifying, running processes and replying, orchestrated in one place
- Building AI automation workflows — Turn repetitive processes into reusable workflows in plain language, with multi-agent collaboration, scheduled triggers and cross-tool execution
FAQ
Common questions about Privately deployed AI assistant
Can it run entirely disconnected?
Yes. TotalClaw supports fully offline intranet private deployment with local inference and intranet model routing, and every outbound path can be switched off so data never leaves the company boundary.
How is this different from a repackaged AI tool?
The AI agent engine is entirely in house and controlled by us from the underlying logic to the application layer, so the source is under control, compliance review is possible and white-label delivery is practical. With a repackaged tool the engine's source and direction aren't in your hands, and it usually won't pass strict review.
Are domestic operating systems supported?
Yes. It deploys across environments including domestic operating systems, in line with domestic-technology requirements.
How long does private deployment take?
On a standard intranet, assessment, installation, configuration and go-live generally complete within a week. Scenarios involving complex internal system integration take 2–4 weeks and can start with a POC before formal approval.
Want to bring Privately deployed AI assistant into your business? One call connects you to a dedicated consultant.