Kore.ai Shifts Focus to Agent Management for Customer Support at Scale
Kore.ai spent the week positioning itself as infrastructure for enterprise AI rather than a point solution provider, arguing that reliability, governance, and orchestration matter more than raw model performance. The company stressed that customer support deployments fail when workflows are fragmented, systems lack oversight, and long-running tasks go unmonitored-problems that emerge only after pilots move to production.
The Drift Problem
A central concern Kore.ai highlighted is model and system drift: AI outputs appear correct but gradually diverge from business intent. This happens silently and compounds across thousands of agent interactions.
The company said testing, observability, and independent review loops are essential to catch drift before it erodes ROI. This discipline becomes critical as enterprises scale from proof-of-concept to production, where a small error multiplies across customer interactions.
Orchestration Over Single Agents
Kore.ai advanced a vision of orchestrated multiagent systems replacing single agents. The approach blends deterministic workflows with reasoning-based AI under a centralized orchestration layer that coordinates specialized agents across customer support, CRM, policy, and transactional systems.
CEO Raj Koneru positioned the company as model-, data-, and cloud-agnostic infrastructure. This flexibility allows enterprises to swap models or cloud providers without rebuilding their entire agent architecture.
An Agent Management Layer
Kore.ai introduced the concept of an "agent management layer"-a control system designed to govern large fleets of AI agents in customer support scenarios. This layer mitigates conflicts between agents, prevents duplicate work, and preserves context across interactions.
The company argued that governance must sit inside the orchestration fabric rather than exist as an external audit tool. Embedding oversight into the system itself appeals to risk-conscious enterprises facing regulatory pressure around AI behavior and decision-making.
Regional Expansion
Kore.ai announced a Dialogue event in Manila with Amazon Web Services, targeting banking and technology stakeholders in Southeast Asia. The agenda covers scaling AI, measuring ROI, and operational readiness-signals the company is deepening regional engagement.
What This Means for Customer Support Teams
For customer support leaders, Kore.ai's messaging suggests a shift in how enterprise AI is built and managed. Rather than deploying individual chatbots or agents, the focus moves to coordinated systems that handle complex, multi-step support scenarios without drift or failure.
This infrastructure-first approach supports more durable business relationships with vendors. As AI adoption matures, enterprises increasingly need platforms that can govern and scale agents across the entire support operation, not just add a chatbot to one channel.
Learn more about AI for Customer Support and AI Agents & Automation strategies for your team.
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