8x8 launches AI Studio for customer experience agents

8x8 has introduced 8x8 AI Studio, a tool for building and deploying AI agents on its customer experience platform. The product is in early availability for 8x8 customers.

The new environment lets teams create AI agents using natural language instructions instead of specialist developers or separate software layers.

8x8 is targeting a common challenge in corporate AI projects: businesses want to automate customer and internal workflows but face long implementation timelines, consulting costs, and integration work. The product is built directly into its existing platform, which already handles voice, digital routing, interaction data, and telephony.

The launch comes as more customer experience teams seek greater control over how they use artificial intelligence. 8x8 cited research from Metrigy showing that nearly three in four customer experience leaders would rather build their own AI agents than buy standard products, citing trust and domain expertise among the reasons.

Early Use

According to 8x8, dozens of customers across more than 15 industries are already using the software in early availability, with hundreds of agents in production. Use cases include inbound routing, outbound follow-up, sales qualification, scheduling, internal helpdesk triage, and employee productivity tasks.

These examples show that 8x8 is positioning AI Studio for both customer-facing and internal operations. The software can support always-on inbound coverage, proactive outbound engagement, CRM handoff, internal support resolution, and personal assistant-style functions for employees.

One notable element of the launch is pricing during the initial phase. Existing customers do not need extra licences to access AI Studio at this stage. A free tier is available for building and testing agents, with consumption fees applied once agents move into production.

Platform Approach

8x8 argues that embedding AI directly into communications infrastructure removes some of the delays associated with external systems. In this model, AI agents have direct access to live voice data, network telemetry, and broader interaction context.

This architecture underpins 8x8's broader argument that AI tools should sit inside business communications systems rather than on top of them. According to the company, older architectures can introduce latency and weaken customer interactions when they depend on transcription steps and separate integrations.

"Many companies - especially mid-sized ones - have held back deploying AI agents because of the cost of specialized developers and months of integration work. 8x8 built AI Studio natively on infrastructure its customers already operate so no intricate integration is required," said Sheila McGee-Smith, President & Principal Analyst at McGee-Smith Analytics.

"A business user can describe what they want an agent to do in natural language, and the native Builder creates it, including the ability to take real action such as scheduling appointments or filing tickets. This combination of accessibility for non-technical teams and the flexibility to expand into agentic workflows on a single platform is what will allow companies to transform AI from a concept to repeatable outcomes."

The emphasis on mid-sized businesses is significant because that segment often lacks large in-house engineering teams or budgets for bespoke AI projects. Customer communications vendors have increasingly focused on lowering the technical barriers to AI deployment as generative AI moves from pilot projects into daily operations.

Operational Focus

Users can deploy agents for tasks such as identity verification, call routing, and multi-location reception, as well as appointment confirmations, service follow-up, and structured data collection. 8x8 also highlighted lead capture and qualification with live Salesforce integration, alongside employee helpdesk triage and after-hours call handling.

These use cases reflect where companies have tended to begin with AI in customer service: repetitive, rules-based interactions with clear handoff points. They also suggest 8x8 is trying to broaden its role in customer experience from communications provider to workflow automation supplier.

Hunter Middleton, Chief Product Officer at 8x8, described the launch as part of a deeper integration strategy.

"8x8 AI Studio is not an AI layer sitting on top of a communications platform, it's AI embedded in the infrastructure itself," said Middleton. "The LLM has direct access to real-time voice data, network telemetry, and the full interaction context that external tools typically cannot access.

"That direct access also eliminates the transcription intermediaries responsible for the latency and drop-offs that destroy the natural conversation experience on older architectures. That is what separates AI that demos well from AI that holds up at production scale."

8x8 said the platform operates under established security standards, compliance frameworks, and internal governance policies, including privacy-by-design measures for personal data on the platform.