In line with Telefónica’s Alex Harmand, agentic AI adjustments how community APIs generate income by shifting pricing away from particular person API calls
Telefónica and Nokia have not too long ago collaborated to check how AI software program brokers might assist the usage of community APIs, as a part of the GSMA Open Gateway initiative to standardize entry to telecom community capabilities. Preliminary testing has centered on a fraud prevention use case in a lab setting. Telefónica is utilizing Nokia’s Community Publicity Platform to reveal community APIs and associated features — together with SIM swap and machine 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 circumstances — past fraud detection — that can 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, machine context, and site knowledge to generate a real-time contextual identification confidence rating. “This helps onboarding, account restoration, and step-up authentication with clear monetization by way of diminished 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, moderately than counting on static fraud guidelines, which Harmand mentioned permits “adaptive authentication flows and risk-based pricing fashions” that straight enhance approval charges and scale back chargebacks for fee 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 chance and triggers focused interventions to cut back missed appointments. In line with Harmand, this use case has clear monetization potential throughout healthcare, retail, subject companies, and logistics, the place no-shows straight impression income.
Community high quality and SLA optimization for enterprises. For B2B clients, an AI agent might interpret intent — similar to making certain optimum connectivity for a particular software — and dynamically consider components 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 companies,” mentioned Harmand, including that this income mannequin is tied to premium connectivity tiers, SLA-backed companies, and dynamic quality-on-demand choices.
Promoting outcomes
Massive image, defined Harmand, agentic AI adjustments 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 — which means clients pay for a accomplished goal, similar 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 larger worth from higher-level automation.
The mannequin additionally permits operators to bundle capabilities into bundled companies moderately than exposing standalone APIs. Provides similar to Id & Belief or Commerce Threat Scoring mix a number of indicators and features into one answer, creating clearer business propositions for enterprises.
In observe, agentic APIs shift monetization from promoting technical entry to promoting outcomes — enhancing buyer predictability whereas growing common income per person by pricing the answer itself moderately than every underlying microservice.
“The client nonetheless will get a predictable business mannequin, and we seize extra worth as a result of one agent run might orchestrate a number of underlying capabilities,” mentioned Harmand.