The Data Privacy Problem with AI Writing Tools
Most AI-assisted writing tools work the same way: you paste your content in, it goes to a cloud server, the model generates a response, and you get the output back. Simple. But for enterprise RPA teams, that model has a serious problem.
Your PDDs, SDDs, and process notes contain:
Pasting any of this into a consumer AI tool likely violates your organisation's data handling policies, your client's NDA, or both.
The Bring Your Own Model Approach
BYOM (Bring Your Own Model) means the AI tool connects to a model endpoint that you control — rather than a shared cloud service. The tool handles the document structure, the prompts, and the output formatting. You supply the model.
In practice, this means:
Azure OpenAI — if your organisation already has an Azure OpenAI agreement, data stays within your Azure tenant. The same Microsoft enterprise data protection you already have applies. No data leaves your existing boundary.
Ollama or LM Studio — run a model entirely on your own machine. The data never leaves your network at all, even in transit. GPT-4 level quality is available locally on modern hardware (Llama 3.3, Mistral, Phi-4).
Your own OpenAI or Anthropic key — data goes to OpenAI or Anthropic under your API agreement, not through a third-party SaaS vendor's shared account.
Why This Matters More Than You Think
When you use a SaaS AI writing tool, you are trusting:
1. That the SaaS vendor doesn't log your prompts
2. That the SaaS vendor doesn't use your data for model training
3. That the SaaS vendor's security posture is adequate
4. That their data processing agreement covers your use case
With BYOM, you remove that dependency entirely. Your data goes where you already decided it's allowed to go.
What DocForge Does
DocForge is a desktop application — it runs on your machine, not in a browser tab backed by a cloud server. You configure your own AI endpoint in Settings:
DocForge itself never sees your content. It connects directly from your machine to the model endpoint you specify.
The Cost Advantage
As a side effect, BYOM is also significantly cheaper than SaaS AI tools. GPT-4o-mini costs roughly $0.15 per million input tokens. A full PDD generation — even with a detailed transcript — typically uses 2,000–4,000 tokens. That's less than $0.001 per document.
Compare that to AI writing tool subscriptions at $20–$50/month, and the economics are clear — especially if you're generating dozens of documents per month across a delivery team.
Enterprise-Ready From Day One
DocForge was built for RPA consultants who work with enterprise clients. Data privacy isn't an afterthought — it's the architecture. BYOM means you can use DocForge with confidence in any environment, from a regulated financial services client to a healthcare provider with strict data residency requirements.