Drive Immediate Adoption and ROI
A ready-to-deploy user experience gave employees a clear starting point, reducing the usual friction around AI adoption.
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Sector
Insurance & Financial Services
Focus
Private AI Platform, Cybersecurity Agent
MAPFRE needed a way to adopt AI inside a corporate environment without forcing teams to choose between innovation, security, and cost control. iVega worked on a platform-first approach that gave employees a usable AI experience while keeping data governance at the centre of the design.
The solution paired a flexible Private AI platform with a cybersecurity agent built to monitor usage and defend the environment around the clock.
iVega designed the platform around immediate usability, provider flexibility, modular extension, and data sovereignty. The goal was clear: give employees access to AI capability while corporate teams retained control over data, models, cost, and risk.
A ready-to-deploy user experience gave employees a clear starting point, reducing the usual friction around AI adoption.
A universal model connector supported Google, Azure, OpenAI, and other providers, giving the platform room to evolve without vendor lock-in.
A modular architecture supported custom integrations, workflow extensions, and scaling across future internal use cases.
A secure Private AI Engine kept sensitive data under corporate control while teams explored new AI capabilities.
The cybersecurity agent acted as a defence layer for the Private AI environment. It monitored signals, supported governance, and helped security teams keep AI usage inside controlled boundaries.
Continuous monitoring for AI usage, access behaviour, and suspicious activity.
Policy-aware guardrails for sensitive corporate data and internal workflows.
Escalation logic for cybersecurity teams when the agent detects risk signals.
Reporting that helps leaders review adoption, cost, and security posture together.
Business Value
MAPFRE gained a platform foundation that could support employee adoption from day one, connect to several AI model providers, and extend as business needs changed.
A usable AI layer designed for internal teams, governance, and measured adoption.
A security model that kept corporate data under control while the platform expanded.