Kore.ai and AWS: Together Redefining how Enterprise Employees Approach their Everyday Work 

Enterprises spend months in finding the right talent and countless hours training employees to deliver productive outcomes. Yet, employees often spend 19% of their time on repetitive, low-value tasks— such as searching for the right information, switching between applications, filling out the same templates weekly, or manually updating records across different business systems. This isn’t a talent issue, but a system problem!

While the advent of AI offers a promising path forward, enterprises still struggle with challenges like governance, security, and the complexity of integrating across diverse applications. Kore.ai’s AI for Work, an employee productivity platform, addresses exactly these gaps. It not only helps in automating repetitive tasks, or finding relevant documents or getting answers to employees' questions, it also allows them to build new AI agents to solve their problems on their own. And now, in addition to its own search and answer solution, AI for Work also integrates with Amazon Q Index to increase data coverage and build on AWS native security. The integration allows users to get answers from their Q Index data and also build agentic experiences on top of the results.

Introducing the Components

Kore.AI’s AI for Work

At Kore.ai, we’ve seen firsthand that enterprise AI cannot succeed with piecemeal tools. Organizations need a platform that is secure, extensible, and enterprise-ready, not just another point solution. That’s where AI for Work, build on top of advanced agentic AI platform, to give enterprise employees a single, intelligent foundation. Rather than leaving teams to stitch together connectors, agents, and monitoring tools on their own, it delivers an integrated framework built for scale, governance, and measurable impact.

Kore.ai’s state of the art agentic platform seamlessly orchestrates agents with context and state management, keeping the human-in-the-loop where necessary and maintaining short and long term memory for a personalized experience. These agents come together within AI for Work, giving employees a unified way to apply agentic intelligence across everyday work.

AI for Work transforms how employees interact with enterprise systems. It streamlines search across applications, enables context-aware actions, generates content, and automates repetitive tasks. Instead of employees losing hours navigating multiple applications each day, they can access a single, intelligent interface that understands context and delivers outcomes faster.

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It is customizable and secure, deployable either on-premises or in the cloud, with enterprise-grade governance built in. It is also fully extensible, integrating seamlessly with third-party AI agents and enterprise systems through protocols like MCP and A2A. 

Flexibility is at the core of AI for Work. Teams can move fast with low-code or no-code options, take advantage of 70+ prebuilt connectors and 200+ agent templates, which help with faster value realization. At the same time, agent developers can go deeper with pro-code development to design highly specialized agents for their unique processes. As enterprises scale, the platform remains reliable and measurable, with advanced analytics for token tracking, detailed audit trails, multi-tenant isolation, and real-time performance monitoring.

Amazon Q

Amazon Q Index is a powerful, managed vector search service designed for Independent Software Vendors (ISVs) to enrich their applications with generative AI. It allows enterprises to:

• Integrate data from 40+ prebuilt connectors into a single secure index.
• Search across applications through the SearchRelevantContent API, without managing multiple connectors.
• Maintain full control over data access and governance while allowing ISVs to deliver enhanced AI features.
• Deploy and scale indexes quickly within their own AWS environments.

This dramatically reduces integration complexity, connector maintenance costs, and accelerates time-to-value for enterprise AI initiatives.

Kore.ai + Amazon Q: The next step in Enterprise Search and Agentic Workflows

Enterprises run on a vast ecosystem of applications; on average, an employee uses 15+ tools daily. The challenge is no longer just accessing data, but turning fragmented, siloed information into meaningful work that is done faster, better and more efficiently. Enterprises need more than search bars or isolated chatbots; they want a single, intelligent interface that could both find information and use that context to execute tasks across systems.

This is exactly where the integration of Kore.ai’s AI for Work and Amazon Q Index creates value. Together, we deliver unified search, contextual insights, enterprise-grade security and lower costs.

• Unified Search & Action: Employees can discover information across 90+ enterprise systems (Kore Connectors + Amazon Q Connectors) and immediately act on it, all in one interface.
• Fresh, Contextual Insights:  Amazon Q Index continuously processes and updates enterprise data, while AI for Work turns it into semantically fetched contextual answers and automated agentic flows.
• Efficiency & Cost Optimization:  By reducing repetitive manual work and enabling reusable multi-agent flows, enterprises achieve faster outcomes with fewer resources. Amazon Q Index’s optimized vector storage and auto-scaling infrastructure further improve efficiency.
• Enterprise-Grade Security & Compliance:  Amazon Q implements vector-level security, document-level access controls, and end-to-end encryption with AWS KMS keys, while Kore.ai adds audit trails, and governance. Enterprises also gain the flexibility to index data within their own AWS cloud, ensuring complete data sovereignty and compliance.

This partnership ensures that Agentic AI doesn’t just surface data, it does the work.

Let’s see it in action how the integration helps an account executive navigate a deal by helping him prepare for a client meeting.

Getting started

Integrating Amazon Q Index within AI for Work is very simple. Customers first enable Kore.ai as a data accessor within their Amazon Q Business account and select the connectors and data sources they want to make available. Once configured, they can add the Amazon Q Index credentials directly within AI for Work, setting it up as the default enterprise knowledge source for user search queries or integrating it into custom-built search agents. This ensures that employees can immediately access secure, context-rich information across all their applications. For step-by-step instructions, you can refer to the detailed guide here.

Charting the future

Agentic AI, when infused with enterprise context, is the new frontier. It represents a shift from fragmented tools to intelligent systems that understand business data, adapt to organizational workflows, and deliver outcomes end-to-end across functions. With this, businesses move beyond isolated tasks to outcomes that compound, workflows that optimize themselves, knowledge that flows seamlessly, and actions that drive measurable impact.

Enterprises that embrace this shift will see clear rewards: higher productivity, measurable business value, and the dawn of truly intelligent, autonomous operations. With Kore.ai and AWS driving continuous innovation in enterprise search and agentic workflows, organizations are positioned to unlock unprecedented levels of productivity and reimagine how everyday work gets done.