Salesforce targets telecom churn with AI agents

Salesforce has launched Agentforce for Communications, a set of pre-built, telecom-specific AI agents designed to turn routine customer interactions into revenue and sales opportunities. The goal is to give teams the knowledge to turn every billing inquiry, service visit and quote request into an opportunity to increase customer loyalty and sales.
Telecom needs new ways to increase LCV. The industry is facing a revenue dilemma. Operators have invested heavily in 5G infrastructure and digital information systems, yet many are not saving the money.
AI agents are built into the Agentforce 360 environment and are directly connected to CRM, OSS and BSS systems. That allows them to pull live customer, service and payment data and act on it instantly. Instead of switching between systems or escalating tickets, teams get contextual, natural-language answers and recommendations in the moment.
Agentforce Communications has five pre-built agents that address some of the industry’s most persistent headaches.
Payment Settlement Agent focuses on one of the biggest traps. It synchronizes fragmented payment data and helps service managers resolve disputes automatically within strokes. Instead of wheeling customers between doors, the agent reveals the context needed to fix the problem quickly.
SLO Insights Agent deals with service level compliance. It compares real-time network performance against promised service levels, flags trends and identifies root causes before problems escalate. That changes the service warranty from firefighting to prevention.
Quoting agent addresses the complexity of telecom stacks. Create technically valid quotes using business rules and pricing logic, reducing the fallout that occurs when orders fail in the central office.
Grouping Agent helps salespeople prepare more business deals. It uses spatial data and natural language input to suggest clusters and use common renderings, reducing spreadsheet-heavy workflows.
Directed Sales Agent equips field professionals with best-selling and best-selling quotes while on-site. In the era of high-touch service, experts can recommend relevant offers immediately instead of offering sales later.
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Salesforce is careful to emphasize that these agents are not generic AI overlays. They are trained in telecom specific issues, data models and guardrails. That’s important in an industry where payment complexity, service obligations and infrastructure compatibility issues can get in the way of even well-intentioned automation.
For marketing and revenue leaders, results matter. ARPU growth is increasingly dependent on capturing small moments. Maintenance depends on removing the conflict before it can be consolidated.
Revenue acceleration now requires strong integration between marketing, sales, service and field operations. Agent systems like these blur those lines.
If AI can independently resolve payment disputes, monitor service compliance and upsell opportunities in real time, the traditional boundaries between support and growth begin to dissolve.



