Expert Scale™

Your experts can't be everywhere.
Their knowledge can.

It only knows what you have taught it. When it does not know, it asks your expert instead of guessing. Live in under 24 hours.

Drew Harris CEO & Co-Founder info@expertscale.ai
Alan Kadish Co-Founder & Chief Strategy Officer info@expertscale.ai
Never guesses It escalates to your expert instead
Your PII Never touches a public LLM
<24 hrs From first interview to live Protégé
34 Patent claims pending
The Problem

Senior SMEs retire, change roles, or run out of hours. The knowledge they carry took decades to build. When they leave, it goes with them. Documentation doesn't capture it. Training programs take months.

When a deal stalls, a new hire gets stuck, or a client needs an answer after hours, no one's available.

This is not a content problem. It is a knowledge transfer problem.

The gap between a $25 manual and a $250/hr consultant is where organizations lose deals, slow down onboarding, and fail to scale. Expert Scale closes that gap.

What Expert Scale Does

A Digital Protégé for every expert on your team.

Expert Scale builds a Digital Protégé: voice AI that thinks and responds the way your SME does. Not a chatbot, not a search engine, not an AI agent. An always-on version of your expert's judgment, trained on their knowledge base and tuned to how they actually talk and think.

Someone asks a question, uploads a document, or talks through a problem. The Protégé engages the way the expert would, asking follow-ups, pulling from the knowledge base, and giving specific, actionable answers.

When the Protégé reaches the edge of what it knows, it escalates to the human expert rather than guessing. That is the zero-hallucination guarantee. It is not a setting you configure. It is how the system is built.

Every session produces a structured summary: insights, action items, red flags, and performance notes. The expert stays in the loop. Their calendar stays clear.

"There's never enough of me to go around, so I've trained some AI Protégés."
Robin Walters, Co-Founder and CEO, Rogue Recruitment
Posted unprompted on LinkedIn after deploying her Protégé.
How It Works
1
Extraction Interview
A structured one-hour AI-driven interview captures your expert's reasoning, voice, and judgment, not just their documents. From this interview alone the Protégé can answer about half of what your expert would.
2
Knowledge Base
Upload existing materials: books, guides, case files, presentations, recordings. After ingesting your existing library it handles roughly three questions in four.
3
Deploy
The Protégé goes live for your team or clients. Natural voice conversations, 24/7. No prompt engineering, no special training required for users.
4
Improve
Every session builds depth. As sessions compound, it comes to handle about nine questions in ten. Summaries keep your expert informed without taking up their time.
Why We're Different

Our real competition isn't ChatGPT. It's the $120K junior hire who takes a year to get up to speed and then leaves.

Category Examples The Gap
SOPs & Wikis Confluence, SharePoint Captures what, not why. Nobody reads them when they actually need help.
Creator Tools Delphi, Coachvox Built for personal branding. No enterprise depth, no compliance guarantee.
Video Avatars HeyGen, D-ID Presence without knowledge. Cannot answer questions or engage in dialogue.
Generic LLMs ChatGPT, Claude Broad but not your expert. Will confidently fabricate answers outside its training.
AI Agents Copilot, OpenClaw Automates tasks. Does not capture, transfer, or scale expert judgment.
Why "just use a Custom GPT" creates enterprise risk
PII Commingling
Shared model fine-tuning can surface one user's data in another's answers.
IP Leakage
Anything uploaded to train a shared model can strengthen a competitor's results.
Reverse Engineering
Users can probe shared models with enough prompting to reconstruct your proprietary methodology.
No Accountability
When it gives a wrong answer, there is no escalation path, no audit trail, and no human backup.
"Other AI systems are optimized to answer. Ours is optimized to understand first and answer only from a position of verified context and validated expertise."
Proprietary Knowledge Extraction

We don't scrape documents. A structured AI-driven interview pulls out the reasoning behind expert decisions, the knowledge that never gets written down. The methodology draws on 30 years of instructional design research and is covered by a pending patent.

Zero-Hallucination Architecture

The Protégé answers only from the expert's validated knowledge base, asks clarifying questions before responding, and escalates to the human when it reaches its boundary. In enterprise settings, a wrong answer can be a liability. This is how we prevent that.

Enterprise Data Sovereignty

Your knowledge base stays in your infrastructure. It is never co-mingled with other customers' data or used to train public models. Expert Scale connects via secure API. When the contract ends, all data stays within your organization.

Use Cases in Practice

What this looks like in practice.

E-Tech Heat Recovery
Industrial Engineering
New hire ramp: 6 months down to under 1 month
A senior engineer's Protégé became the backbone of onboarding. New hires ask it questions in plain language instead of waiting for the engineer's calendar to open. That engineer's knowledge is now available to anyone on the team, any time.
American Home Design
Enterprise Sales
Technical questions answered in the field, mid-demo
Sales reps query the regional manager's Protégé during live client presentations to answer technical questions they would not otherwise be able to field. The expert's judgment shows up at the right moment, without the expert needing to be on the call.
Fortune 100 Networking
Enterprise Technology
Live in under 24 hours. Zero prompt engineering required.
An internal team spent months building an AI prompt library that required five context inputs per query. Adoption was close to zero. Expert Scale deployed a working Protégé in under 24 hours. Users just talk to it.
An agile coach at a Fortune 100 technology company, whose team had spent months building an internal AI tool, on its adoption:
"My users will never figure this out."
Agile Coach, Fortune 100 Technology Company
Expert Scale had a working Protégé live in under 24 hours. His manager signed up before the demo was over.
Security & Architecture

Built for enterprise procurement from the start. ↓ Security Brief PDF

Data Layer
Isolated Knowledge Bases
Each expert's knowledge base is fully isolated. No cross-contamination between experts, clients, or organizations. Your data never touches another customer's environment.
Session Layer
Isolated Client Sessions
Each conversation is fully isolated. Session data is not used to train public models or shared outside your organization. Full transcripts and summaries are retained in your environment.
AI Layer
Filtered LLM Access
Your PII and proprietary content never pass through a public LLM. LLM access is bounded by the expert's validated knowledge base. The model cannot answer outside that domain. It escalates instead. This is the mechanism behind the zero-hallucination guarantee.
IP Protection
Data Sovereignty Option
For organizations with strict data governance requirements, the knowledge base can be hosted within your own infrastructure. Expert Scale connects via secure API. When the contract ends, all data stays within your organization.
Patent Pending
Proprietary Architecture
Patent pending: 34 claims across 9 core innovations including AI-guided knowledge extraction, escalation architecture, and multi-layer security. An independent analysis estimated 17 months of engineering to replicate.
Compliance
Working Toward SOC 2 Type II
The architecture was built with regulated industries in mind, including legal and financial services, where a wrong answer from an AI carries real liability. SOC 2 Type II certification is in progress.
Common Procurement Questions

Answers to what your team will ask.

Does our data get used to train your AI models?
No. Knowledge bases are isolated by architecture and by contract. Your data is never used to train anything outside your own environment.
What happens when the AI doesn't know something?
It escalates to the human expert with the full conversation context attached. It does not guess, fabricate, or fill in gaps. That is the architecture.
Can we host the knowledge base in our own infrastructure?
Yes. For enterprise agreements, the knowledge base deploys within your own cloud environment. Expert Scale connects via secure API and never retains your data on our side.
What happens to our data if we end the contract?
When the contract ends, all data stays within your organization. There is no retention on our side, no lock-in, and no negotiation required.
How quickly can we go live?
A one-hour structured interview gets your first Protégé answering about half of what your expert would, the same day. Most teams are fully live within 24 hours of that first session.
Is this suitable for regulated industries?
The architecture was designed for regulated environments including legal and financial services, where a wrong AI answer carries liability. SOC 2 Type II is in progress. Reach out for specifics.

Hear one before you decide anything.

Reading about a Protégé tells you very little. Two minutes with one tells you everything, and the part worth testing is not whether it answers well — it is what it does when it cannot.

Talk to Ray's Protégé

Fair warning, and it is the point: Ray is a composite senior manufacturing engineer, twenty-four years on a shop floor. Whatever industry you are evaluating this for, the shop talk will not be your world. It is an example, and we would rather say so than let you notice.

What is your world is how it behaves, and that part is identical to what your own expert's Protégé would do. Ask it the kind of thing you would normally have to interrupt a senior engineer for. You get Ray's answer, in his words, with his name on it. When it does not know, it says so and pulls in the real person instead of guessing. That last part is built in, and there is no setting that turns it off.

Uses your microphone · about two minutes · no signup, no email

Start the conversation.

It takes about two minutes. Only one of these questions really matters — the one asking who you cannot afford to lose. If you can answer that in a sentence, this will probably work for you.

Hear one first

We will reply personally within one business day. No sequence, no drip, no demo request — if it is not a fit we will tell you that instead, and say why.

See it before you decide anything.

The live Protégé is available right now, 24/7, no scheduling required. Real questions, real answers, real escalation — and it never guesses. See exactly how it works before any conversation with us.

If you want to talk through fit first, use the form — it reaches the founding team directly.

Hear a Protégé Tell us who you can’t afford to lose