Hams.AI and Tamkeen Technologies Partner to Scale AI-Powered Customer Service

Hams.AI and Tamkeen Technologies have entered into a strategic partnership to expand the use of AI across customer service and communication.

Building on their existing collaboration, the partnership will focus on deploying AI Voice and Chat Agents across real customer-facing use cases, helping organizations respond faster, automate repetitive service tasks, and connect customer conversations directly with enterprise systems and knowledge.

AI That Does More Than Answer

Customer service AI is moving beyond simple question-and-answer experiences.

AI Agents can now understand what a customer needs, retrieve approved information and policies, interact with business systems, and complete actions such as creating requests, checking case status, managing appointments, running surveys, and updating customer information.

For voice interactions, Hams combines Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS) in real time.

STT converts the customer's speech into text. The LLM interprets the request, uses relevant enterprise knowledge, and determines the right response or action. TTS then delivers that response naturally back to the customer.

Across WhatsApp, web chat, and other digital channels, AI Chat Agents work with the same enterprise knowledge and systems to provide accurate answers and complete customer requests.

The result is an AI Agent that does not simply respond. It can take action.

One Customer Journey Across Channels

Customer interactions rarely happen in one place.

A conversation may start with a phone call, continue on WhatsApp, and end with an action inside an internal system.

Hams brings these interactions together through one platform that combines cloud contact center capabilities, AI Voice Agents, AI Chat Agents, and digital channels.

By connecting every channel to the same knowledge and systems, organizations can provide a more consistent experience while giving AI Agents the information and access required to resolve customer requests.

Built for Real-World Operations

Deploying AI in production requires more than adding an LLM to a chat interface.

Voice AI, for example, depends on several technologies working together with low latency and high reliability:

Speech-to-Text (STT)
Processes spoken language so the AI Agent can understand the customer in real time.

Large Language Models (LLMs)
Interpret intent, work with enterprise knowledge, and determine the appropriate next step.

Text-to-Speech (TTS)
Turns the AI-generated response into natural speech during the conversation.

When these capabilities are connected to enterprise APIs, customer systems, and internal workflows, AI Agents can move from conversation to execution.

Expanding AI Across Customer Service

The partnership between Hams.AI and Tamkeen Technologies will focus on identifying and developing practical AI use cases that can operate at scale.

The goal is not simply to introduce another AI interface, but to embed AI directly into customer service operations—where it can understand conversations, access the right information, connect to existing systems, and complete the action required.

This approach can help organizations reduce manual workload, improve response times, and provide more consistent service across channels.