Meet your new AI teammates for Communications

Agentic AI in communications refers to advanced AI systems that act autonomously — making decisions and performing tasks at scale on behalf of users and service operators, without requiring manual review or escalation. Unlike traditional AI, agentic AI works continuously, analyzing real-time conditions and executing responses that would otherwise require human intervention.

Key benefits include:

• Enhanced operational efficiency — AI agents automate complex telecom workflows like network traffic management, outage troubleshooting, and resource reallocation, freeing teams to focus on higher-value work.
• Improved customer experience — By analyzing vast amounts of subscriber data, AI agents deliver personalized recommendations and resolve billing, service, and support inquiries faster and at any hour.
• Real-time responsiveness — Agentic AI monitors systems continuously, identifying patterns and anomalies to enable proactive solutions before issues escalate.
• Cost savings — Automating high-volume, repetitive operations reduces operational overhead and the need for human-in-the-loop escalation at every step.
• Scalability — AI agents handle massive volumes of network activity and customer requests simultaneously, with speed and precision that scales with demand.
  

With Agentforce Communications, these benefits are grounded in a TM Forum SID-aligned data model and purpose-built agents — including the Billing Resolution Agent, SLO Insights Agent, and Quoting Agent — that surface intelligence directly in the flow of work, across BSS/OSS systems, without disrupting existing infrastructure.

AI agents in communications can automate and augment work across the entire subscriber lifecycle. Key use cases include: billing inquiry resolution — solving the #1 reason subscribers call in; order fulfillment and fallout management — tracking every order milestone and resolving exceptions automatically; churn prediction — surfacing at-risk subscribers with AI-powered recommendations before they leave; upsell and cross-sell — identifying the right offer for the right subscriber at the right moment; and service operations — giving reps a single, intelligent view of every subscriber interaction so every conversation starts informed and ends resolved.

Generic AI tools are built for broad use cases and require extensive customization to work in telecom environments. Agentforce for Communications is purpose-built for communications service providers — with a TM Forum certified data model, pre-built workflows for quoting, ordering, and billing, etc., and AI agents trained on subscriber, network, and BSS context out of the box.

Communications Cloud draws on a comprehensive blend of data to power intelligent actions for CSPs. This includes subscriber data from OSS/BSS systems, billing and usage records, network performance metrics (bandwidth, uptime, SLO adherence), call center interaction history, and competitive offer intelligence. It also incorporates behavioral signals from digital touchpoints, churn propensity scores, and CRM data from Communications Cloud. MuleSoft connects disparate OSS/BSS, ERP, and network management platforms in real time, while Informatica ensures data quality and governance across subscriber records. Together, MuleSoft, Data Cloud 360, and Informatica create a robust system of context — unifying data into a trusted subscriber profile that powers accurate agentic actions.

Agentforce for Communications is built on Salesforce's Einstein Trust Layer, which ensures all AI actions are grounded in governed, auditable data. The platform supports CPNI (Customer Proprietary Network Information) compliance requirements for telecom operators in the US, GDPR for European communications providers, and regional data residency requirements for global CSPs. Audit trails capture every agent interaction, privacy controls enforce data minimization for subscriber information, and zero-retention policies ensure that sensitive call and usage data is not stored in AI model training pipelines. These controls allow communications companies to deploy AI agents confidently without compromising subscriber trust or regulatory standing.

Absolutely. Agentforce Studio provides a low-code/no-code builder that lets communications teams extend pre-built agents or create entirely new ones grounded in proprietary subscriber, network, and operational data. Customer service teams can build agents that surface personalized retention offers when a subscriber calls in, sales teams can create agents that automate enterprise quote generation across multiple locations, and network operations teams can deploy agents that monitor SLO performance and trigger proactive upsell outreach — all without deep technical expertise. Pre-built templates for billing inquiry, churn prediction, and offer matching give teams a fast starting point to customize and deploy.