Gaurav Anand of Tata Communications argues that businesses must move beyond fragmented AI deployment toward unified orchestration to improve customer and employee experiences.
Key facts
- •Gaurav Anand states that the strategic priority for enterprises is shifting from individual task automation to end-to-end orchestration.
- •Tata Communications offers the Interaction Fabric, an orchestration layer that unifies contact center, messaging, and AI data.
- •A shared enterprise ontology is necessary to align customer data, products, and workflows across disconnected platforms.
- •The industry is seeing a wave of consolidation as contact center providers acquire AI-native firms to close capability gaps.
- •Future customer engagement is expected to move from reactive support to proactive, predictive, and personalized interactions.
Enterprises are increasingly prioritizing orchestration over simple automation as they deploy AI agents and voice tools across digital channels. According to Gaurav Anand, global head of the Customer Interaction Suite at Tata Communications, many organizations have struggled by bolting conversational AI onto legacy systems. This approach creates disjointed tools that lack a shared enterprise context, forcing human agents to manage fragmented data while failing to provide seamless customer journeys.
The challenge of fragmented systems
Traditional customer experience architecture was designed for linear, human-driven routing rather than the real-time data flows required by autonomous AI. When systems remain siloed, it creates a heavy cognitive load for human staff who must piece together context across different applications. Anand notes that this lack of integration results in latency and inconsistent experiences as customers switch between channels like voice, WhatsApp, and email.
Moving toward context-aware orchestration
To solve these issues, enterprises are shifting toward context-aware orchestration, which uses a shared business vocabulary and context graphs to align data, policies, and customer intent. Tata Communications has developed the Interaction Fabric, an orchestration layer designed to unify contact centers, messaging, and AI agents. This architecture ensures that identity and intent remain consistent as interactions move across various touchpoints.
Balancing AI and human expertise
Effective orchestration allows AI to handle high-volume, routine tasks like password resets while routing complex, emotionally sensitive interactions to human agents. By using real-time sentiment analysis, systems can identify when a customer is in distress and escalate the interaction to a human expert. This collaborative model aims to maintain brand trust while leveraging the speed and efficiency of AI.
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This article was independently rewritten by ManyPress editorial AI from reporting originally published by VentureBeat AI.
