Talkdesk & Databricks join forces to unify customer data

Talkdesk has expanded its partnership with Databricks to provide the data foundation for its Customer Experience Automation platform.

This collaboration brings together Talkdesk's Customer Experience Automation (CXA) platform with the Databricks Data Intelligence Platform, aiming to resolve challenges associated with fragmented customer service data. Companies often contend with siloed data across contact centre, CRM, and ERP systems, which can complicate scaling, compliance, and the management of large, unstructured datasets.

Unified data foundation

By integrating Databricks' technology, Talkdesk will unify customer data from multiple channels. This facilitates real-time access by Talkdesk CXA AI Agents to the entirety of customers' histories, achieved through zero-copy integration with client data. The move is intended to make it easier to deliver context-rich, personalised experiences for customers while meeting compliance requirements.

The newly expanded partnership also aims to improve automation capabilities for enterprises using Talkdesk's platform. With unified and contextual data, the company's AI Agents are positioned to provide more personalised, accurate, and adaptive responses to customer enquiries.

Compliance and transparency

Both companies highlight the importance of building the system on a governed, enterprise-grade infrastructure to address concerns of compliance, security, and explainability.

"Through this partnership, we are giving enterprise customers a safe, scalable way to deploy AI that truly transforms how businesses service their customers. Integrating the Databricks Data Intelligence Platform with Talkdesk's CXA platform gives companies 360° visibility into customer interactions, fueling more intelligent automation and analytics. This allows them to build responsibly and meet compliance and transparency standards from the start, at an accelerated pace," said Munil Shah, chief technology officer of Talkdesk.

Talkdesk CXA, which was announced in June 2025, has been designed to automate and coordinate complex service, sales, and support processes across both the front and back office. Instead of adding additional tools to manage customer experience, the CXA system aims to replace fragmented, manually coordinated workflows with a single unified system of autonomous AI agents. Each AI agent is assigned a defined role and operates with a shared context; they work together in real time to resolve complex customer issues across business functions, with the intention of enabling faster and more accurate automation at scale.

Democratising analytics

The Databricks Data Intelligence Platform is built to provide access to analytics and intelligent applications by combining organisations' existing data with AI models tailored to their unique requirements. The platform operates on a lakehouse architecture, supporting open data formats and governance. This openness is intended to ensure customers maintain control of their data at all times.

"Customer interaction data is incredibly valuable, but too often it's fragmented or duplicated across systems. With the Databricks Data Intelligence Platform, Talkdesk Customer Experience Automation can securely access that data in place - no replication required - to deliver faster, more accurate, and fully-governed customer experiences at scale," said Heather Akuiyibo, vice president of go-to-market integration at Databricks.

Another component of the Talkdesk CXA platform is its Data Cloud, which aggregates transcripts, call recordings, case notes, and customer records from a range of sources in real time. AI agents can act on this information, collaborating to resolve complex customer issues with increased speed and adaptability. The platform is intended to serve cross-industry workflows as well as specific use cases in healthcare, financial services, retail, utilities, travel, and government sectors.

Organisations using Talkdesk CXA have the ability to access prebuilt AI agents and manage the automation process from discovery to orchestration and measurement, with the aim of achieving faster time to value and modernising customer experience without the need to replace existing systems.