# For Enterprise: You Now Manage Two Workforces > Enterprise page: Explainable AI Studios for Teams, built for teams of people and AI agents, with transparent reasoning, access control, and human oversight, plus the governance, security and compliance controls enterprises review. - **URL:** https://aisquare.studio/teams - **Audience:** Enterprise buyers, platform owners, compliance and risk teams - **Topics:** enterprise AI governance, explainability layer, AI Studios for teams, workspace and studio control, role-based access control, SSO, SCIM, SOC 2 Type II, audit, policy ## You Now Manage Two Workforces Explainable AI Studios for Teams. Built for teams of people and AI agents, with transparent reasoning, access control, and human oversight. - Enterprise-grade security - Works with your existing tools - Built for human + AI collaboration CTA: Get Started for Teams (signup). ## Scaling AI without losing visibility. Modern AI systems make thousands of decisions across tools, agents, and data sources. Most teams can see what happened, but not why it happened, or who is responsible. Observability ≠ Explainability. You can monitor that an AI ran. You can log its inputs and outputs. But you can't explain its reasoning, justify its decisions, or hold it accountable. Scaling AI without governance breaks trust. - **Without AISquare:** AI decisions happen across agents and tools. Context is scattered across documents and chats. Outputs look correct, but reasoning is invisible. Governance happens after problems appear. No shared source of truth for people or AI. - **With AISquare:** Every decision is captured as it happens. Evidence, policies, and approvals stay attached. Reasoning is visible and reusable. Governance is built in by design. People and AI agents work from the same context. Explainability is not documentation. It's infrastructure. AISquare treats explanation as a first-class system output, not a post-hoc narrative. ## The Explainability Layer for Enterprise AI AI systems are evolving from isolated tools into networks of agents, experts, and policies. Explainability is what makes this evolution governable. In the age of AI agents, explainability is not a feature. It is infrastructure. Traditional AI observability does not explain reasoning, accountability, or decision intent. AISquare provides an Explainability Layer that captures decisions, evidence, policies, and human involvement as part of execution itself. This makes AI systems auditable, queryable, and governable by design. The Explainability Graph connects evidence, policies, AI Studios, humans, data, and AI agents. AISquare is the foundation that lets teams embrace AI with confidence, not fear. It's how you scale AI without losing control. ## From team content to explainable AI experiences AISquare works with what your team already has, turning scattered knowledge into AI experiences that remain grounded, explainable, and easy to reuse. - **Start with what you have:** Documents, notes, recordings, conversations: your team's knowledge already exists. AISquare connects to it without requiring you to start over. - **Shape content inside Studios:** Teams create Studios to focus on a specific domain. A Studio brings together relevant content, context, and intent, making every AI output explainable and traceable. - **Reuse across people and AI Agents:** Once created, AI experiences (AI Note, AI Expert, Quest, Podcast) can be reused by teammates and AI agents. Every output remains grounded in evidence, transparent in reasoning, and guided by human oversight. ## Workspace & Studio Control AISquare lets teams collaborate safely by defining clear boundaries for people, content, and AI experiences. Workspaces control who collaborates. Studios control what expertise is shared. - **Private Studios:** Visible only to the creator. Perfect for personal development and experimentation. - **Team-Only Studios:** Shared across your team or workspace. Controlled collaboration with role-based access. - **Public Studios:** Published to your audience. Discoverable and accessible by external users. Built-in Control Mechanisms: Studio-level access control; Explicit ownership and accountability; Controlled collaboration boundaries; Workspaces keep teams organized. ## Structuring AI Around Content & Expertise Studios bring together knowledge, AI, and humans into reusable, governed units of intelligence: Content (documents, data, and expertise captured in your vault) + AI + Humans (AI capabilities with human oversight and expertise) = Governed Intelligence at Scale (reusable, auditable, and always up-to-date). ## Real impact across modern teams AISquare adapts to how teams capture knowledge, explain decisions, and reuse expertise across the organization. - **AI Onboarding & Training** (Faster ramp-up with explainable AI): Turn fragmented resources into explainable AI experiences that help new hires ramp up faster and learn consistently. Key outcomes: Faster time to productivity; Consistent learning at scale; Self-paced learning with AI assistance; Knowledge preserved beyond individuals. - **Customer Enablement & Education** (Reusable AI guidance for customers): Create reusable, explainable AI experiences that help customers learn products and make better decisions without scaling headcount. Key outcomes: 24/7 AI-powered product training; Personalized learning journeys; Reduced dependency on support teams; Clear, explainable guidance. - **Internal Knowledge Systems** (Capture how your experts think): Capture how your best people think and turn it into AI experiences the whole organization can rely on. Key outcomes: Queryable knowledge base; Expertise retained as teams change; Cross-team alignment through shared reasoning. - **University & Academic Programs** (Transform education with AI-powered learning): Key outcomes: Personalized student learning paths; AI tutoring available 24/7; Enhanced faculty productivity; Gamify learning using AI tools. - **AI-Assisted Decision Support** (Decisions by AI with visible reasoning): Support high-impact decisions with AI that shows its reasoning, evidence, and constraints before action is taken. Key outcomes: Data-driven recommendations with reasoning; Human approval at every critical step; Traceable decision history; Decisions grounded in evidence. ## Governance, Security & Compliance Pass security, legal, and IT review with confidence. Governance by design. Security by default. Compliance readiness built in. - **Role-Based Access Control:** Granular permissions for every team member and studio. - **SSO / SCIM Ready:** Enterprise identity provider integration with SAML support. - **Full Auditability:** Complete audit logs for every decision and action. - **Data Isolation:** Workspace-level data separation and encryption at rest. - **Policy Enforcement:** Automated policy checks and compliance guardrails. - **SOC 2 Type II:** Enterprise-grade security certifications and compliance. ## Works With Your AI Stack, Not Another Replacement Tool Reduce resistance from AI teams. AISquare complements existing models and agents, working across tools, not instead of them. - **Control Plane, Not Execution Engine:** AISquare orchestrates and governs. Your existing AI models do the work. - **Fits Into Current Workflows:** No disruption to existing processes. Add governance without changing how you work. - **No Rip-and-Replace:** Keep your current AI tools. AISquare layers on top to add explainability. Compatible with: OpenAI / GPT-4, Anthropic / Claude, Google Gemini, Azure OpenAI, Hugging Face, Custom Models, LangChain, AutoGPT, and more. AISquare integrates with any AI model or agent framework via API. ## Frequently asked questions - **How do seats work with roles?** Each team member occupies one seat regardless of their role. Owners and Admins can manage permissions and billing. - **Who can publish AI Experiences?** Owners, Admins, and Editors can publish. Viewers have read-only access to published content. - **What's the difference between drafts and live content?** Drafts are private to creators and reviewers. Only published content is visible to learners and external users. - **What Team Insights are available?** Team Insights provide metrics on drafts created, published items, active members, and active studios. These are the current analytics available for team management. - **Is SSO required for teams?** SSO is optional but recommended for teams over 25 members. We support SAML and popular identity providers. - **Who owns the data and content?** Your organization retains full ownership of all content, analytics, and user data. We provide export tools and deletion capabilities. ## Ready to Make AI Work for Your Team? Join teams and enterprises building explainable, governable AI systems. Start with a free trial or talk to our team: Get Started for Teams (signup) or Talk to Sales (book a demo). ## Links - [Talk to sales](https://calendly.com/d/cyp5-wv4-sgs/aisquare-studios-demo) - [Create a free account](https://home.aisquare.studio/signup) --- **Machine-readable AISquare** - Site index for LLMs: https://aisquare.studio/llms.txt - Agent instructions (when to use AISquare): https://aisquare.studio/agents.md - OpenAPI specification: https://aisquare.studio/openapi.json - MCP endpoint (Streamable HTTP, POST): https://aisquare.studio/mcp - Sitemap: https://aisquare.studio/sitemap.xml - Blog feed (RSS, full posts): https://aisquare.studio/blogs/rss.xml - Any page on this site also serves markdown: append `.md` to its path (the homepage is `/index.md`) or send `Accept: text/markdown`.