Nokia’s Gemini Agents Promise 80% Faster Network Troubleshooting

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Nokia and Google Cloud Put Gemini Agents Inside Telecom Networks

Google Cloud and Nokia announced an expanded partnership to embed Gemini-powered AI agents into the Nokia Assurance Center. The system introduces six specialized agents for telecom operations, including routing, event triage, KPI selection, anomaly reasoning, action recommendations, and dashboard generation.

Nokia says the agents are designed to reduce manual troubleshooting and help operators move toward more automated, self-driving network operations. The companies claim the approach can cut network problem-solving times by 50% to 80%, with router and event-triage agents already functional.

The first certified agent pack is planned for Google Cloud Marketplace availability in September 2026, with more agents rolling out through late 2026 and 2027.

Zoom Turns Prompts Into Production-Ready Customer Service Agents

Zoom announced Agent Architect and Agent Performance Suite for Zoom Virtual Agent, expanding its customer experience AI stack. Agent Architect lets teams generate voice and digital AI agents from simple prompts, then refine behavior before deployment. The new agents can reason through customer requests, collaborate with other agents, and orchestrate actions across systems and channels.

Zoom also added lifecycle tools to simulate customer scenarios, track resolution rates, containment, CSAT, and cost per resolution. Strategically, Zoom is pushing beyond “launching a bot” toward agent creation, measurement, optimization, and outcome-based pricing inside one CX workflow

Kanverse Launches Agentic AI Platform for Finance Teams

Kanverse.ai launched an Agentic AI Platform for Finance to help enterprises build, deploy, and manage AI agents across finance operations. The platform combines agentic AI, document intelligence, orchestration, enterprise integrations, and AI Agent Studio. Its core pitch is moving finance automation beyond rigid task workflows toward agents that understand context, analyze information, make policy-bound decisions, and act across systems.

AI Agent Studio gives business users a natural-language environment to create and configure agents without heavy development work. The launch positions finance as a major battleground for agentic automation, especially in document-heavy processes like accounts payable, procurement, shared services, approvals, and exceptions.

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Anjuna Launches Confidential Control Layer for Autonomous Agents

Anjuna Security announced Anjuna Overwatch, a confidential-computing-protected control layer for governing autonomous AI agents. The system is designed to manage agent behavior, data access, tool use, compliance, and cost in real time. Anjuna argues that agents need stronger oversight because they can make decisions, call external tools, and access sensitive data at machine speed.

The product uses Trusted Execution Environments through Anjuna Seaglass to create a protected control layer that agents cannot easily subvert. This is another sign that enterprise agent adoption is shifting from capability questions to governance, containment, auditability, and regulated deployment.

Cheche Launches ABAO Agent for Auto Insurance Underwriting

Cheche Group launched “ABAO Agent,” an AI-powered underwriting and renewal agent for China’s auto insurance market. The agent is built on Cheche’s proprietary large language model and integrated into core insurance workflows. It is already commercially deployed at scale in auto insurance renewal scenarios, where it can handle outreach, needs identification, policy follow-up, and conversion around the clock.

Cheche says the system reduces labor and operational costs for carrier partners while keeping service continuity intact. The bigger strategic move is Cheche’s shift from a digital insurance transaction platform into an AI-driven insurtech company focused on underwriting, pricing, renewal, and eventually claims.

Newo Claims 99.6% Lead Success Score for Voice AI Agents

Newo.ai announced that its Voice AI “employees” surpassed a 99.6% Lead Success Score based on an internal analysis of 100,000 calls. The company defines LSS as how reliably an AI agent completes the core business task on a live call without losing revenue. Newo says both AI assessment and human review were used, with validation in medical orthodontics and restaurant scenarios.

Its Zero-Hallucination Architecture uses dozens of AI supervisors to monitor conversations in real time and keep responses grounded in approved business information. For contact centers, the key implication is a shift from generic voice bots toward measurable, revenue-protecting AI agents with reliability metrics tied to business outcomes.

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