Cisco will begin deploying personalised AI agents to its entire workforce of 90,000 employees from August, marking one of the largest enterprise-wide rollouts of AI assistants to date. The initiative is aimed at helping employees automate routine work, answer queries and complete tasks more efficiently.
Each employee will receive access to an AI agent capable of routing requests to the most suitable AI model depending on the nature of the task. The company says the approach is designed to balance performance with operating costs.
A key focus of the rollout is reducing AI-related expenses. Complex AI tasks often consume significantly higher volumes of tokens than standard chatbot interactions, making them more expensive. Cisco has built much of the supporting infrastructure on its own systems, enabling greater control over costs while strengthening data security.
The deployment will be accompanied by organisation-wide AI training and knowledge-sharing programmes to encourage employees to experiment with the technology and identify new business use cases.
Cisco is already integrating AI across several business functions. Within its finance division, AI now generates most of the first draft of management discussion and analysis (MD&A) reports. The company has also developed AI tools to support investor relations by analysing historical financial performance and competitor earnings calls. In addition, it is refining an AI-powered “CFO cockpit” that combines business data from products, regions and customer segments to forecast trends and recommend actions.
The rollout aligns with Cisco’s broader strategy of positioning itself as an AI-first technology company. Over the past few years, it has expanded AI capabilities across networking, security, data centre infrastructure and custom silicon.
The company has also seen strong commercial momentum. Cisco recorded $2 billion in AI-related orders during fiscal 2025 and has raised its fiscal 2026 guidance to $9 billion, driven largely by growing demand from hyperscale customers investing heavily in AI infrastructure.
