See how AI is really being used. Govern what comes next.
Discover the real use of AI across the organization, assess maturity, risk and value, and establish governance that accelerates — rather than blocks — responsible adoption.
The module connects discovery, real usage, governance, risk, maturity and value into a single AI intelligence flow.
Maps AI tools, platforms, models, vendors, APIs, copilots, initiatives, applications and use cases.
Identifies formal and ungoverned AI usage, assessing users, areas, volume, purpose, data involved and tool overlap.
Structures and assesses policies, principles, guardrails, accountability, roles, ownership, approval and lifecycle governance.
Assesses risks related to security, privacy, data, compliance, intellectual property, third parties, models and automated decisions.
Analyzes organizational AI adoption maturity across strategy, governance, people, process, technology, data and risk.
Identifies, qualifies and prioritizes AI opportunities considering value, feasibility, risk, effort, data and readiness.
Assesses the technology and architecture fit of models, platforms, providers, integrations, enterprise architecture and data.
Turns assessments into defensible decisions about adoption, restriction, prioritization, investment and governance.
We discover AI tools, models and initiatives in use across the organization.
We understand real usage, data involved and shadow AI exposure.
We analyze maturity, governance, risk and tool overlap.
We develop the AI use case portfolio prioritized by value and risk.
We support adoption, restriction, investment and governance decisions.
We track maturity, risk and value generated over time.
Identify and rationalize ungoverned AI tools.
Structure policies, roles and guardrails for responsible adoption.
Prioritize AI investments based on value, risk and feasibility.