In line with Telefónica’s Alex Harmand, agentic AI modifications how community APIs generate income by shifting pricing away from particular person API calls
Telefónica and Nokia have lately collaborated to check how AI software program brokers might help using community APIs, as a part of the GSMA Open Gateway initiative to standardize entry to telecom community capabilities. Preliminary testing has targeted on a fraud prevention use case in a lab atmosphere. Telefónica is utilizing Nokia’s Community Publicity Platform to reveal community APIs and associated capabilities — together with SIM swap and system swap — whereas Nokia’s Community as Code platform aggregates these capabilities for software builders.
The collaboration displays a broader trade shift towards agentic AI, the place autonomous software program can uncover, mix, and monetize community capabilities with out direct developer orchestration.
RCR Wi-fi Information caught up with Telefónica’s Core and Platforms Senior Supervisor Alex Harmand to debate the highest use instances — past fraud detection — that may drive probably the most significant income from agent-enabled community APIs.
Right here’s what he mentioned:
Id and Belief Orchestration. An AI agent can dynamically combine quantity verification, SIM standing, system context, and site information to generate a real-time contextual identification confidence rating. “This helps onboarding, account restoration, and step-up authentication with clear monetization by decreased fraud losses and decrease friction,” mentioned Harmand.
Context-aware danger scoring for funds and commerce. On this use case, the agent evaluates transaction context in actual time and selects probably the most related belief indicators dynamically, quite than counting on static fraud guidelines, which Harmand mentioned permits “adaptive authentication flows and risk-based pricing fashions” that straight enhance approval charges and cut back chargebacks for cost suppliers and e-commerce platforms.
Predictive Intelligence-as-a-Service. Prediction-driven brokers transfer past easy validation towards proactive optimization. At MWC, Telefónica and Mavenir will showcase a No-Present Prediction agent that forecasts attendance probability and triggers focused interventions to cut back missed appointments. In line with Harmand, this use case has clear monetization potential throughout healthcare, retail, subject providers, and logistics, the place no-shows straight influence income.
Community high quality and SLA optimization for enterprises. For B2B clients, an AI agent might interpret intent — comparable to making certain optimum connectivity for a particular software — and dynamically consider elements like latency, congestion, slice availability, and coverage constraints. Whereas nonetheless early-stage, it represents a promising future use case.
“That is significantly related for cloud gaming, media streaming, IoT fleets, and mission-critical enterprise providers,” mentioned Harmand, including that this income mannequin is tied to premium connectivity tiers, SLA-backed providers, and dynamic quality-on-demand choices.
Promoting outcomes
Large image, defined Harmand, agentic AI modifications how community APIs generate income by shifting pricing away from particular person API calls towards outcome-based consumption. As an alternative of billing per endpoint request, operators monetize every agent execution — that means clients pay for a accomplished goal, comparable to a fraud evaluation, identification verification, or no-show prediction.
Behind the scenes, an agent might orchestrate a number of APIs and community capabilities, however commercially it’s bought as a single, productized motion. This simplifies pricing whereas permitting operators to seize higher worth from higher-level automation.
The mannequin additionally permits operators to bundle capabilities into bundled providers quite than exposing standalone APIs. Affords comparable to Id & Belief or Commerce Threat Scoring mix a number of indicators and capabilities into one answer, creating clearer industrial propositions for enterprises.
In follow, agentic APIs shift monetization from promoting technical entry to promoting outcomes — bettering buyer predictability whereas rising common income per consumer by pricing the answer itself quite than every underlying microservice.
“The client nonetheless will get a predictable industrial mannequin, and we seize extra worth as a result of one agent run might orchestrate a number of underlying capabilities,” mentioned Harmand.
