Enterprise AI
Adoption, architecture, governance and controls for organizations bringing AI into daily work faster than their policy can keep up.
Shadow AI Discovery
Inventory every AI tool in use across the organization, sanctioned and unsanctioned.
AI Architecture Design
Designs the right enterprise AI control stack.
AI Vendor and Model Risk
Structured risk assessment of AI vendors and models being evaluated or already in use.
AI Readiness and Governance
Evaluates where AI can carry real work in the organization and where it cannot yet, against the data, process and governance already in place.
AI Platform Deployment
Designs and deploys an enterprise AI gateway between users and every model provider.
AI Guardrails and Cost Controls
Builds a cost governance layer on the AI gateway: budget envelopes by team and project, alerting before hard limits hit, routing rules to cheaper models, and spend reporting by team, department and project.
Managed Enterprise AI
Ongoing AI governance: cost and usage reporting by team, new tool evaluation and risk scoring, policy updates as new models and capabilities launch, ongoing access control review.