In keeping 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 not too long ago collaborated to check how AI software program brokers may help using 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 show community APIs and associated capabilities — together with SIM swap and gadget swap — whereas Nokia’s Community as Code platform aggregates these capabilities for software builders.
The collaboration displays a broader business 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 essentially 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, gadget context, and placement information to generate a real-time contextual id confidence rating. “This helps onboarding, account restoration, and step-up authentication with clear monetization by way of lowered fraud losses and decrease friction,” mentioned Harmand.
Context-aware threat scoring for funds and commerce. On this use case, the agent evaluates transaction context in actual time and selects essentially the most related belief alerts dynamically, slightly than counting on static fraud guidelines, which Harmand mentioned allows “adaptive authentication flows and risk-based pricing fashions” that instantly enhance approval charges and scale 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 scale back missed appointments. In keeping with Harmand, this use case has clear monetization potential throughout healthcare, retail, discipline providers, and logistics, the place no-shows instantly influence income.
Community high quality and SLA optimization for enterprises. For B2B prospects, an AI agent may interpret intent — reminiscent of making certain optimum connectivity for a selected 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.
From promoting technical entry to promoting outcomes
Huge 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 a substitute of billing per endpoint request, operators monetize every agent execution — that means prospects pay for a accomplished goal, reminiscent of a fraud evaluation, id verification, or no-show prediction.
Behind the scenes, an agent could orchestrate a number of APIs and community capabilities, however commercially it’s offered as a single, productized motion. This simplifies pricing whereas permitting operators to seize better worth from higher-level automation.
The mannequin additionally allows operators to bundle capabilities into bundled providers slightly than exposing standalone APIs. Provides reminiscent of Id & Belief or Commerce Danger Scoring mix a number of alerts and capabilities into one resolution, creating clearer business propositions for enterprises.
In apply, 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 slightly 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 could orchestrate a number of underlying capabilities,” mentioned Harmand.