Cisco’s Post

Every customer interaction with an AI agent is a moment of truth, a reflection of our values and our commitment to doing right by the customer. In Cisco Customer Experience, AI agents interact with real customers regularly. They inform our responses to high-stakes questions. These agents aren’t just tools, they are extensions of our brand. Trust in AI isn’t something we can assume. It’s something we must design.    We are engineering trust into every layer of AI strategy and it starts with the one thing no intelligent agent can function without: clean, connected data.      🔹 We integrate hundreds of diverse datasets, including third-party data, to ensure full context.       🔹 We transform complex inputs (like CRM records and support tickets) into simplified formats so LLMs can reason more accurately.       🔹 We enrich unstructured data with context, structure, and metadata.       🔹 We unify all of it through a semantic data model that maps Cisco’s products and services, improving how agents “think” across the enterprise. When AI agents are trained on clean, connected, and contextual data, trust becomes more than an aspirational principle; it becomes a set product feature.  Curious about what comes next? I’ve shared a more complete piece on building trust in agentic as an article. ⬇️