The Smart Connect AI (SCAI),* Data Analytics & AI platform adds an agentic command layer over your eSIM operations. This fleet of specialized AI agents proactively helps your teams tackle the four challenges most frequently reported across the mobile industry when deploying eSIM services:
SCAI is not another chatbot to simply consult your eSIM operational data or seek assistance. This fleet of specialized AI agents turns your data into action, ushering in three fundamental shifts to accelerate and optimize your eSIM operations:
SCAI gives your teams access to a suite of AI agents that understand your eSIM environment—from data exploration and documentation lookup to fraud detection, inventory forecasting, and reporting. Powered by a knowledge graph built on IDEMIA expertise, the full GSMA specifications, curated market intelligence, and your own operational history, these agents deliver context-aware insights tailored to your business, turning complex analysis into natural-language conversations and ready-to-use outputs.
Through MCP servers exposed by IST’s eSIM management solution (Smart Connect Consumer), agentic capabilities take SCAI from insight to action—analyzing logs, resolving tickets, and executing routine fixes directly from the chat window, with human-in-the-loop checkpoints configurable per ticket category and tenant.
SCAI operates in strict alignment with GSMA security standards and regulatory requirements. It is designed with data protection at its core, with tenant data isolation and per-tenant fine-tunes. Every SCAI action is policy-bound and audit-logged. Human-in-the-loop is the default for any writing action, and the dial between assisted and autonomous is configurable per agent and per tenant.
* Pronounced “sky”
Granular journey analytics pinpoint where customers struggle during onboarding, while real-time dashboards across the eSIM ecosystem give you the operational ground truth to scale rollout and grow active subscribers.
SCAI agents provide your frontline teams with instant knowledge and take action in your platform (for example: retries, profile status changes, configuration updates), so first-call resolution replaces escalation with human-in-the-loop oversight.
Machine Learning models forecast eSIM stock months ahead, surface fraud signals across IP, EID, and lifecycle data before incidents, and push automated alerts so your security, procurement and ops teams act on signals, not after the fact.
operational dashboards across the entire eSIM lifecycle
real-time data refresh for critical operational events
