At Bledsoe Labs, we don’t chase trends for the sake of checking a box. We build technology because it solves a specific, operational problem for the people who rely on our infrastructure.
Recently, we deployed a new AI Email Assistant across the webmail platforms for our portfolio brand, Carl’s Consulting Agency. While the end-user sees a simple “AI Assist” button, the engineering reality behind it reflects our core philosophy: practical utility must never come at the cost of data sovereignty.
The Problem with Off-the-Shelf AI
We saw a clear need: our clients spend hours every week staring at blank reply boxes, struggling to find the right tone for sensitive emails. The standard industry solution is to tell users to “just use ChatGPT.”
From an infrastructure and security standpoint, that was a non-starter. We could not in good conscience ask legal professionals, consultants, and business owners to copy-paste private client threads into a public model that might use that data for training.
We needed a solution that offered the speed of modern LLMs without the privacy tax. So, we built it ourselves.
The Architecture of Privacy
The new assistant integrated into our webmail infrastructure isn’t just a wrapper; it is a purpose-built pipeline designed for Zero Data Retention.
Context-Aware, Not Data-Hungry: The tool reads the specific thread you are working on to generate relevant context, but that data stream is transient.
Transient Processing: We utilize an API integration (powered by Groq) configured specifically to discard data immediately after processing.
No Training Loop: Unlike free public tools, the emails processed through our infrastructure are never used to train the model. Your proprietary data stays yours.
Practical Application Over Hype
We didn’t build this to generate marketing fluff or write poetry. We engineered it to solve specific, high-friction operational tasks:
Turning bullet points into formal client updates.
Drafting polite but firm rejections to refund requests.
Summarizing long, complex threads into actionable next steps.
This is the difference between “AI as a toy” and “AI as infrastructure.” One is for play; the other is for work.
See It in Action
The feature is now live for all Carl’s Consulting Agency webmail users. You can read more about the user-facing features and see examples of it in action over on their blog.
