Turn your SQL databases and APIs into secure, autonomous agents. The Digital Co-Worker wraps your enterprise data in a "Cognitive Layer" that allows AI to reason, act, and transact safely—without moving your data.

Stop building chatbots. Start hiring Co-Workers.

Most Enterprise AI tools act as "Tourists"—they view your data from the outside through fragile connectors, lack long-term memory, and guess at your business rules. They can answer questions, but they cannot securely do the work.

Code On Time offers a different approach. We transform your existing application into a secure host for a Digital Co-Worker. It lives inside your security perimeter, impersonates specific user roles, and operates with the same authority—and restrictions—as a human employee.

1. Powered by Micro-Ontology

Your App IS the Ontology.

Your application is the Micro-Ontology—a self-describing, executable definition of your business domain.

It is powered by the built-in Axiom Engine, a comprehensive suite of technologies that transforms static data into a living digital workforce:

• Metadata-Driven Core: The engine defines Data Controllers (metadata) and utilizes a server-side framework to serve as the gateway between your raw data and the AI.
• RESTful Level 3 API: At runtime, the engine interprets this metadata to project a hypermedia-driven API (HATEOAS). This allows the Co-Worker to navigate relationships and discover actions dynamically, just like a human user.
• Heartbeat & State Machine: A background "Heartbeat" continuously leases batches of pending prompts. It processes them via a robust State Machine that executes loopback HTTP requests to the app itself, ensuring the AI operates with the exact same security context as a user.
• OAuth 2.0 Layer: Built-in authorization flows enhance the API, managing secure access tokens and refresh tokens that allow agents to persist for months.

The Axiom Engine delivers two critical enterprise capabilities:

• The Federated Knowledge Mesh:
  Don't build a monolith. Keep "HR Data" and "Sales Data" in separate Micro-Ontologies (Apps) to prevent context contamination. Use the built-in Federated Identity Management (FIM) to link them, allowing a Sales Co-Worker to safely "consult" an Inventory Co-Worker across domain boundaries.
• Native AI Governance:
  Control the cost and behavior of your workforce.
• • Permissioned Access: AI acts as a secure user role, inheriting exact ACLs and Row-Level Security.
  • Economic Guardrails: Restrict expensive "Reasoning" models to specific roles (e.g., Executives) while assigning fast "Flash" models to high-volume tasks with strict budget limits.
  • Vendor Agnostic (BYOK): You pay the model provider directly; your data never touches a middleman's server.

2. Omnichannel Reach

Your workforce doesn't live in a Chat Window.

The Digital Co-Worker is not just a chatbot; it is a headless agent host that can be deployed anywhere.

• Text & Email: Configure hooks for Twilio or SendGrid to allow your workforce to query the Co-Worker via SMS or Email.
• Long-Term Memory: Unlike standard LLM sessions that are wiped when the browser closes, the Digital Co-Worker remembers context as long as needed, allowing it to manage long-running processes like supply chain orders or onboarding for months.

3. Virtual MCP Server

The Machine Interface: Standard Compliance on Day One.

Your application—the home where your Digital Co-Worker lives—can automatically project its internal HATEOAS API (viewed through the specific permissions of a user) into a standard REST Level 2 API.

This projection strips away the hypermedia layer to act as a Virtual MCP Server (Model Context Protocol), effectively narrowing down the app's vast capabilities into specific "Tools" (like Sales, HR, or Inventory) that external AI models can understand.

• No Custom Code: You don't need to write custom Python code or define tool schemas manually.
• Plug & Play: Instantly connect Claude, ChatGPT, Cursor, or any MCP-compliant client to your live SQL or API data.
• Auto-Discovery: The system automatically projects your existing data controllers as "Tools" for the AI, enabling external agents to query data and execute transactions immediately.