Technical notes from the product we are building.
As CorpAI ships new platform capabilities, we publish practical write-ups on the design choices behind them: what changed, why it matters, and how it helps enterprises deploy AI systems with more control.
Latest Article
How CorpAI Workspaces let clients separate teams, installs, deployments, policies, and observability while keeping one shared enterprise AI platform.
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Workspaces for Enterprise AI Rollouts
How CorpAI Workspaces let clients separate teams, installs, deployments, policies, and observability while keeping one shared enterprise AI platform.
AI Agent Discovery Across Code and Runtime Traffic
How CorpAI combines static GitHub scans with dynamic telemetry from AWS ALB logs so teams can find documented and live AI agent activity in one review workflow.
A2A Agent Cards for Enterprise Agent Discovery
How CorpAI helps businesses turn internally built AI agents into discoverable, approved, and deployable assets using A2A Agent Cards.
A Clearer View of Enterprise AI Usage
How CorpAI brings token usage, model activity, top users, Agent and MCP deployments, and connected AWS account metrics into one operational view.
An AI Agent That Keeps Your Workday Moving
How CorpAI's Workplace Productivity Agent connects Slack, Google Calendar, Jira, and more to automate routine tasks and give employees a single AI-powered interface for their workday.
Plug-And-Play AI Shopping Assistants for UCP Stores
How CorpAI's UCP E-Commerce Agent gives any UCP-enabled store a conversational shopping assistant with a reusable storefront chat modal.
CorpAI Sandbox for Customer-Hosted MCP Evaluation
How customers can run CorpAI on their own laptop, deploy catalog MCP servers, and use them through chat with their own LLM API key.
Static Analysis for Vetted MCP Servers
How CorpAI reviews MCP server code, dependencies, scan artifacts, and deployment posture before making a server easy to adopt.