The Hidden Cost of Scattered Knowledge in Enterprises

Every modern organization faces a silent productivity killer — disconnected data. 
Information lives in too many places: email threads, PDFs, chat logs, CRMs, policy documents, spreadsheets, and internal wikis. 

The result? Employees spend valuable time searching for what already exists instead of using it. Studies show knowledge workers waste up to 20% of their week just trying to find information. 

That’s not just inefficient — it’s expensive. 

Promact and Cohere are tackling this challenge head-on by using advanced embeddings technology to organize, retrieve, and activate enterprise knowledge in smarter ways.

What Are Embeddings — and Why They Matter

To understand what Cohere’s embeddings do, think of them as the “language map” behind AI understanding. 

When an AI reads a sentence, it converts it into a vector — a numerical representation that captures the meaning of the words, not just the literal text. Two similar sentences will have vectors close to each other, even if the exact words differ.

For example: 

• “Reset my password” and “How do I change my login credentials?” look different in text. 

• But Cohere’s embeddings know they mean the same thing — and link them automatically. 

That’s the power of embeddings. 
They let AI systems understand meaning, not just keywords.

How Cohere’s Embeddings Organize Enterprise Knowledge

Cohere’s embeddings models are specifically designed to handle enterprise-scale data — millions of documents, multiple departments, and highly technical language. 

Here’s how they transform disorganized information into a unified, searchable knowledge base:

1. Connecting Scattered Data

   Embeddings act like a bridge across systems — mapping documents, notes, and messages into a shared “semantic space.” 
   No matter where the data lives, AI can now find the right information based on meaning, not exact text matches.

   
   

2. Contextual Understanding

   Cohere’s embeddings grasp nuance — they know when “client onboarding” refers to a sales workflow or an HR training process, depending on context. 
   This prevents irrelevant results and gives teams accurate answers faster.

   
   

3. Real-Time Search and Discovery

   With embeddings in place, search tools become intelligent. 
   Employees can ask natural questions like “What’s our latest compliance policy for Europe?” and instantly surface the right document, even if it’s buried in a 50-page PDF.

Promact’s Real-World Applications with Cohere Embeddings

Promact brings Cohere’s powerful embeddings technology into real enterprise environments — making it practical, accessible, and integrated within existing systems. 

Here’s where the impact is most visible:

1. Smart Internal Search Tools

   Promact builds enterprise search platforms powered by Cohere’s embeddings. 
   Instead of keyword lookups, users can now perform natural-language searches across wikis, project files, or document repositories — and get relevant, contextual results in seconds. 

   
   

   Example: 
   An employee types: “Show me last quarter’s sales strategy for retail clients.” 
   The AI retrieves the right deck or report — even if the document title doesn’t include “retail” or “sales strategy.”

   
   

2. Intelligent Documentation Systems

   Knowledge management tools powered by Cohere can categorize, summarize, and interlink documentation automatically. 
   That means no more manual tagging or outdated internal wikis. 

   
   

   Promact’s clients now have dynamic knowledge hubs where related documents, policies, and FAQs surface instantly based on user intent.

   
   

3. Enhanced Support and Onboarding

   Customer support teams use embeddings-powered systems to respond faster and more accurately. 
   New employees can onboard with AI assistants that pull answers from documentation in seconds — reducing dependency on human trainers and improving consistency.

From Data to Decisions — Instantly

When enterprise knowledge becomes searchable and contextual, it transforms how teams work:

The result is a more agile, informed, and connected enterprise — where information flows freely to the people who need it most.

The Bigger Picture: Actionable Intelligence, Not Just Storage

Promact’s integration of Cohere’s embeddings doesn’t just help teams find information — it helps them use it. 
From powering conversational AI assistants to supporting real-time decision tools, embeddings create a foundation where enterprise knowledge is always current, connected, and ready to act on. 

In short: we’re helping companies turn their collective knowledge into their most valuable business asset.