The data foundation for Customer Experience Automation.
Built for agentic AI. Designed for multi-agent orchestration.
Knowledge that is continuously created.
Automatic knowledge management built into CX execution.
Use outcomes and human feedback to reinforce what works and correct what doesn’t, improving how AI agents reason and act over time.
Keep outcomes accurate as policies, products, and customer behavior change, without relying on static content or manual updates.
Knowledge that is contextually applied.
Delivered where decisions happen, not searched for.
Apply industry-specific models to ensure compliant, accurate decisions in real customer interactions.
Make context available instantly across agents and journeys during live interactions, instead of relying on after-the-fact analysis.
Knowledge that is operationalized.
Executed across agents and systems with shared state and real-time access.
Access and align data directly from systems of record without duplication, preserving governance, security, and real-time consistency.
Support high-volume, continuous automation with consistent performance and governed access as interactions, channels, and complexity grow.
Turn knowledge into a living execution layer for CXA.
Give AI agents shared, execution-ready context so they can decide and act accurately across complex customer journeys.
FAQs
Customer experience automation fails when data is fragmented, stale, or unavailable in real time. Talkdesk Data Cloud solves this by unifying structured and unstructured customer data into a single, continuously updated source of truth that AI agents can use during live interactions. This eliminates guesswork, reduces handoffs, and enables accurate, context-aware automation.
Integration moves data between systems. Warehouses optimize data for reporting. Neither is designed for real-time decision-making. A data cloud for CX automation activates data in the moment by making it consistent, contextual, and accessible to AI agents during live customer journeys. Talkdesk Data Cloud is built for execution, not batch analytics.
Raw data has no meaning without context. Industry-aware models interpret entities, events, and relationships so AI agents understand what actions are appropriate within regulatory, operational, and domain-specific constraints. This is critical for automating complex workflows in industries like healthcare, financial services, and retail, where incorrect decisions carry real risk.
Talkdesk Data Cloud acts as the shared data layer behind multi-agent orchestration. It ensures all AI agents operate on the same up-to-date customer context, enabling coordinated actions across end-to-end journeys. This shared foundation prevents conflicting decisions, preserves continuity, and allows automation to scale reliably across channels and use cases.
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