AI Governance Library

Discover, monitor, and govern AI usage across your organization — including shadow AI, GenAI applications, and third-party AI tools. Gain centralized visibility and policy enforcement

Automate AI compliance workflows with continuous policy checks, audit trails, evidence collection, and governance reporting for enterprise AI systems.

Centralize AI model risk management with validation workflows, governance controls, documentation, approvals, and ongoing oversight across ML and GenAI systems.

Govern and monitor AI systems across LLMs, traditional ML, computer vision, and agent-based workflows. Track performance, enforce policies, detect drift, and maintain operational reliability at scale.

See how organizations use SUPERWISE /trac to automate warranty claims governance with end-to-end traceability, compliance workflows, and operational visibility..

AI-powered predictive maintenance platform that transforms raw sensor data into actionable insights. Prevent equipment failures, reduce downtime, and optimize maintenance costs.

Accelerate legal review with AI-powered clause extraction, compliance validation, risk detection, and governance-aware document analysis.

AI-powered clinical triage assistant with PHI-aware guardrails, structured symptom assessment, and safe patient interaction workflows..

AI-powered EHR data standardization with automatic PHI detection and FHIR conversion. Transform messy healthcare data into clean, privacy-safe, interoperable formats.

People already use AI. SUPERWISE makes it safe to do so at work.

Replace fragmented AI collaboration with a shared AI workspace where teams securely collaborate on documents, conversations, and workflows—with full context and governance built in. Every interaction is private, auditable, and policy-governed.

Complex business processes require multiple specialized AI agents working together—research, analysis, writing, and review—each with distinct capabilities and guardrails.

Departments need their own AI workspaces with SSO integration, custom branding, and department-specific agents trained on their data and processes.

Sales teams need fast, consistent answers across complex deals with SSO integration and custom domains for seamless access.

Delivery teams juggle documents, notes, and context across long projects.

Employees waste time hunting for answers in policies and internal docs.

Leaders want structured thinking without black-box automation.

On-call engineers need fast access to runbooks without exposing infrastructure details.

IT needs centralized control with SSO, custom domains, admin reporting, and advanced RBAC to govern AI usage at scale without blocking adoption.

Support teams waste time searching through documentation and past tickets to answer customer questions.

HR teams spend hours answering the same policy and benefits questions repeatedly.

Product teams need to synthesize feedback, research, and requirements across multiple sources to make roadmap decisions.

Marketing teams need multiple specialized content agents (blog writing, social media, email campaigns) with model choice and workspace templates for consistent brand voice.

B2B companies want to offer AI-powered customer portals with their own branding, advanced RBAC, and org-wide policies—all without exposing the SUPERWISE brand.

Regulated industries (healthcare, finance, legal) need comprehensive audit trails, model choice for compliance requirements, and admin reporting for regulatory reporting.

SaaS companies need to offer AI features to their customers with complete data isolation, whitelabeling, advanced RBAC, and org-wide policies for tenant separation.

Engineering teams waste time searching through codebases and documentation to understand systems and APIs. Upload code documentation, API specs, and architecture docs to Knowledge collections, and engineers get answers grounded in your actual documentation—faster code understanding and better knowledge sharing.

Sales and product teams need to stay current on competitors and market trends without exposing research to public AI tools. Upload competitive analysis and market research to Knowledge collections, and use specialized agents to generate summaries, comparisons, and insights.

Executives need to synthesize complex information from multiple sources to prepare for board meetings and strategic decisions. Upload reports and strategic documents to Knowledge collections, use model choice to optimize for executive analysis, and get executive summaries, key insights, and recommendations.

Finance teams need to analyze reports, budgets, and forecasts quickly while keeping financial data completely private. Upload financial documents to Knowledge collections, use model choice for compliance-approved models, and get summaries, trends, and variance analysis with full traceability.