Cosolution AegisWise

Overseas support teams handling customer inquiries across Telegram, WhatsApp, web widgets, and in-app chats manage operations through a unified workspace with Cosolution AegisWise. Instead of running AI as a black box chatbot, support managers track metrics such as self-response rate, customer confirm rates, monthly token costs, and first response times on a single KPI screen.

Multi-channel intake and agent workflows

Customers scattered across multiple windows land in a single operations console where AI agents handle common questions first. When complex scenarios require a human handoff, agents take over on the same screen with full context preserved so the customer never repeats themselves. Each agent uses dedicated model configurations, prompts, and global policies bound per channel to standardize support flows.

Knowledge governance and ticketing loops

Product information, aftersales documentation, and standard operating procedures live in a retrieval-augmented generation knowledge base where every answer points back to its source document. Every ticket follows a five-state workflow covering new, in progress, awaiting confirmation, closed, and reopened states. Every unfinished promise retains an owner, a deadline, and an SLA to prevent dropped tickets.

KPI review and financial oversight

Operations managers evaluate the exact financial impact of their AI deployment by reviewing token spend by model, conversation volume, and agent productivity. Rather than leaving support outcomes to spot-checks, teams monitor self-service rates and escalation quality to determine exact operating costs and recoup timelines.