AI agents combine a reasoning layer with a set of connected tools, such as CRM lookups, order systems, or payment gateways. When a customer states a request, the agent interprets intent, decides which tool or sequence of tools is needed, calls that tool, and evaluates the result before responding or taking a further step. This loop of reasoning, acting, and observing can repeat across multiple turns, letting the agent complete multi-step tasks like checking an order, updating a record, and confirming the outcome without a human directing each step.
In MENA customer service, where interactions increasingly happen over WhatsApp in Arabic dialects and English, an AI agent that can only chat is not enough - businesses need one that resolves the request. Banks, healthcare providers, and logistics companies need agents that can safely execute actions like KYC document collection or shipment updates inside regulated workflows, while still respecting compliance boundaries around what an AI may do without human review.
In Eshal: Every Eshal deployment runs as an AI agent with live integrations to business systems, executing workflows like order tracking, return processing, and KYC collection rather than just retrieving information. Actions are governed by Dynamic Action Gating, which restricts what the agent can execute without human sign-off, and every deployment sits behind ISO 27001-certified infrastructure to keep those integrations secure.