Olakai is an enterprise AI analytics and governance platform that gives organizations vendor-neutral visibility into AI usage, measurable ROI, and governance controls across chatbots, copilots, autonomous agents, and AI-enabled SaaS applications. It provides a unified view where individual AI vendor dashboards — from OpenAI to Microsoft to Google — only show siloed data for their own tools. Enterprises today use dozens of AI tools simultaneously, each with its own analytics (or none at all). This fragmentation makes it impossible to answer basic questions: What's our total AI ROI? What risks are we exposed to? Which tools should we scale and which should we cut? Olakai consolidates this data into a single platform that both technical and business teams can use. The platform covers two categories of enterprise AI through dedicated product modules: - Agent IQ provides real-time analytics for agentic AI — autonomous agents, multi-step workflows, and custom automations — including execution metrics, cost-per-execution analysis, success/failure rates, and custom KPIs tied to specific business outcomes. - Assistive IQ delivers analytics and governance for assistive AI — chatbots, copilots, and AI features embedded in SaaS — covering productivity measurement, shadow AI detection, adoption tracking, and content policy enforcement. - Kai, the platform's conversational intelligence layer, lets any user ask questions about their AI program in natural language and receive data-backed answers with transparent reasoning, scenario modeling, and actionable recommendations. - Shadow AI detection discovers unauthorized AI tool usage across the organization before it becomes a security or compliance risk. - Custom KPIs allow teams to define application-specific or workflow-specific metrics that connect AI activity directly to business outcomes like time saved, cost reduced, or revenue influenced. Olakai deploys through a Chrome browser extension for enterprise-wide assistive AI monitoring, SDKs (TypeScript and Python) for instrumenting custom agents and workflows, a CLI for developer tool integration, and a dashboard designed for CIO and CAIO-level reporting. The platform is used by enterprise IT leaders, CISOs, CFOs, and AI program managers to prove AI value, govern risk without blocking adoption, control costs across vendors, and make data-driven decisions about which AI investments to scale.