Why Context Is the Missing Piece in Conversational AI

For years, chatbots have promised better customer engagement and employee support, but most still miss the mark. They can reply quickly but not intelligently. They misunderstand context, repeat canned responses, and fail when questions go even slightly off-script.

That’s where Cohere’s contextual AI changes the game.

Unlike generic chatbots that rely on keyword triggers or rigid scripts, Cohere’s models are built to understand meaning, remember context, and adapt to each conversation.
When combined with Promact’s enterprise engineering expertise, they create AI assistants that don’t just respond, they understand your business.

How Cohere’s Contextual Understanding Stands Apart

Cohere’s large language models are designed around context retention and retrieval, the ability to connect what’s being said now with what’s been said before, and what’s stored in company data.

Here’s what sets it apart:

1. Real Understanding, Not Keyword Matching

Traditional chatbots respond based on pattern recognition; they see a word and pull a pre-written response.
Cohere’s AI, powered by its Command R and Embeddings, interprets intent. It understands that “I can’t log in” and “reset my password” are connected problems — and pulls the right information even if phrased differently.

2. Memory That Matters

Cohere’s models maintain conversational memory across sessions. That means the assistant remembers context, follows up naturally, and keeps track of previous issues or preferences, a crucial feature for enterprise interactions.

3. Built for Enterprise Data

Cohere’s technology integrates securely with internal data sources, allowing AI to retrieve verified answers from internal documents, policies, and databases — without ever exposing that data externally.

Promact’s Process: Training AI Assistants on Enterprise-Specific Data

At Promact, we go beyond simply “connecting” an AI model — we train and fine-tune assistants to reflect each organisation’s voice, structure, and priorities.

Here’s how the process works:

Step 1: Data Integration

We start by identifying where critical business information lives — knowledge bases, HR systems, product documentation, or support archives. Using Cohere’s retrieval capabilities, this data becomes securely accessible to the assistant.

Step 2: Contextual Fine-Tuning

Our team fine-tunes Cohere’s models to understand industry-specific language, company policies, and internal workflows. This ensures that responses are accurate, compliant, and aligned with how your teams actually work.

Step 3: Real-Time Learning and Feedback Loops

Promact’s assistants continuously improve. They analyse user interactions, measure response success, and refine outputs — becoming more helpful and contextually aware over time.

Real-World Use Cases: AI That Works Where It Matters

1. Customer Support Bots

With Cohere’s contextual intelligence, Promact builds customer-facing bots that can:

• Understand multi-turn conversations

• Retrieve data from product or billing systems

• Escalate complex issues to human agents with full context
  This results in faster resolutions and happier customers — without compromising accuracy.

2. HR Assistants

HR teams handle endless employee queries — from benefits to policies to leave balances. Promact’s AI assistants handle these questions automatically, pulling accurate answers from HR documentation or databases, reducing manual intervention by up to 60%.

3. Internal Helpdesk Systems

Imagine IT or operations assistants who can troubleshoot problems, access knowledge bases, and summarise tickets automatically. With Cohere’s models, Promact builds assistants that understand internal systems, connect to company data, and deliver relevant guidance instantly.

The Results: Real Conversations, Real Impact

When AI understands context, employees and customers don’t feel like they’re “talking to a bot.”
They feel heard, understood, and helped — which drives adoption and trust.

Here’s what organisations experience after integrating Cohere-powered assistants with Promact:

These numbers translate to real business value: happier users, faster support, and more efficient teams.

Conversational AI Built for the Enterprise

Cohere’s technology gives Promact the foundation to build AI assistants that understand not just language, but your business language. They learn from your data, respect your privacy, and evolve with your organisation.

The result?
Conversational AI that feels human, works intelligently, and fits seamlessly into how your business operates.

If you’re ready to move beyond scripted bots to truly intelligent assistants, Promact and Cohere can make it happen.