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SERVICES

AI Enablement — Generative Chat enhanced with Retrieval Augmented Generation (RAG)

RAG is AI That Understands Your Business & Delivers Instant, Generative Answers—Shining a Light on Your Own Knowledge.

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Curious how AI can work for your business?

What is Retrieval Augmented Generation (RAG) ?

Think of our RAG tool as a private library for your business. We securely stock the shelves with your company’s knowledge (the books) and meticulously index every page. That way, when you need an answer, your AI librarian instantly finds the right piece of information—no searching, no wasted time.

"Question"

"Librarian"

"Catalogue"

"Private Library"

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An Interface that understands and responds in natural language.

Generative Chat enabled by Large Language Model

Embedding Model Index to categorise and retrieve information

An indexed Secure Vector Store of your organisations documents, emails information & more

Enterprise-Grade Security for
Your AI-Powered Knowledge

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Your business data stays private, protected, and secure—always. Our RAG system is built with enterprise-grade security, ensuring only authorised users can access the right information.​

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  • End-to-End Encryption – Your documents and business knowledge are encrypted in storage and transit.

  • Role-Based Access (RBAC) – Control who can access specific information, ensuring data security.

  • Private, Secure Infrastructure – Your knowledge stays within a dedicated, protected environment—never shared with public AI models.

  • Continuous Monitoring & Compliance – Regular security audits ensure best-in-class protection.
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AI-Powered Efficiency, Without Compromising Security.

With MoreHuman’s RAG solution, you get instant access to business-critical knowledge—while keeping your data fully secure and under your control.

Safe

Your Data.
Your Knowledge.

Secured & Private, Always.

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Maximise Efficiency & Move Faster with AI

Get the Answers You Need—Faster, Smarter, and Effortless with AI

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 Our AI-powered system securely stores and retrieves your organisation's documents, emails, and files—delivering accurate answers in real time.

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Less searching, more doing. You and your team can spend less time digging for information and more time getting things done.

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It's like an AI Brain with Instant Recall for Your Business
Stay Ahead of your Competitors Using AI​

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No More “Where Did I Save That?” – While others waste time searching, you get instant answers with AI-powered recall.

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Works With What You Already Use – No complicated setups, just seamless AI that gives your business an edge.

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Stay Competitive, Move Faster – Businesses using AI retrieval are making decisions quicker—don’t get left behind.

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An AI Brain That Knows Your Business Inside and Out—Just Ask, and It Finds What You Need.

Our process for Enabling RAG 

UX Design Team

1. Discovery & AI Readiness 

Goal

Understand how AI can help your business.

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Process

  • Meet with key team members to find knowledge gaps

  • Review where data is stored (documents, emails, databases)

  • Identify how AI can improve information access (e.g., customer support, internal knowledge retrieval).

  • Ensure security and privacy standards are met.

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Outcome

A clear AI roadmap for better knowledge access and decision-making.

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Modern Bridge

3. AI Setup & Integration

Goal

Make AI a seamless part of your workflow.​

 

Process

  • Connect AI to your existing tools (Google Drive, CRM, Slack, SharePoint, etc.).

  • Enable an easy-to-use AI interface where employees can ask questions.

  • Train AI to provide accurate, relevant answers.Test the system to ensure it delivers the right information every time.​​​

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Outcome

A fully integrated AI system that gives instant answers when you need them.

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2. Proof of Concept (POC)

Goal

Create a working mini POC to demonstrate viability, value, validate features, & reduce risk.​​

 

Process

  • Define the Use Case – Identify a key business challenge 

  • Select and Ingest Sample Data – Securely process a subset of data

  • Configure or Targeted Retrieval – Train AI for company-specific context

  • Deploy POC Environment – Test information retrieval with key stakeholders

  • Define adjustments and Features – Use POC insights to define implementation​​​​​​

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Outcome

A working POC that demonstrates AI’s potential, ensures feasibility, and provides insights for full-scale deployment.​​

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2. Organise & Secure Your Data

Goal

Get your business data AI-ready.​​

 

Process

  • Identify important files, emails, and reports to include.

  • Organise and clean up unstructured data (PDFs, spreadsheets, presentations).

  • Secure sensitive information with proper access controls.

  • Automate updates so AI always works with the latest data.​​​​​​

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Outcome

A fully indexed, AI-ready knowledge base thats ready to be integrated with LLM chat.​​

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You Run the Business —
We'll Train Your AI so you can Find What You Need, just Faster.

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