Waxell

Waxell is a governance and monitoring platform built for organizations that need to maintain oversight of AI agents running across their infrastructure. It acts as a centralized control plane for both internally developed applications and third-party tools, tracking every decision and execution step in real-time. By providing visibility into agent behavior and resource consumption, the software helps technical teams ensure that automated workflows adhere to established corporate policies and budgetary limits. The platform stands out for its extensive compatibility, supporting over 170 frameworks and large language models with minimal configuration. This allows it to capture data from tools that employees might use without formal IT approval, commonly referred to as shadow AI. Instead of just logging basic outputs, Waxell records the specific reasoning and expenses associated with each agent action, providing an audit trail necessary for compliance and security reviews. It addresses the growing challenge of managing autonomous software by offering a standardized way to verify that agents are performing as expected without being restricted to a single provider's ecosystem.

Key Features

  • 200+ framework instrumentation
  • Real-time agent monitoring
  • PII and policy scanning
  • Sandboxed execution environment
  • Human-in-the-loop routing
  • Automated audit trails

Use Cases

Use Case 1: Managing Shadow AI Usage

Problem: Employees use tools like Claude Code or Cursor without corporate oversight or security audits.
Solution: Waxell Connect brings third-party agent activity into a governed workspace for full visibility.
Example: An IT manager reviewing an audit trail of all code changes made by AI agents in the last week.

Use Case 2: Preventing Data Leakage

Problem: AI agents may inadvertently access or transmit PII (Personally Identifiable Information) during tool calls.
Solution: The system scans every execution step for policy violations and blocks sensitive data transfers.
Example: Blocking an agent from sending customer Social Security numbers to an external API during a workflow.

Use Case 3: High-Risk Financial Automation

Problem: Executing financial transactions via AI agents requires a zero-failure environment.
Solution: Waxell Runtime provides sandboxed execution with native policy gates at every step.
Example: A fintech startup running automated reconciliation where each step must pass a budget and compliance check before proceeding.

Target audience: Best for: Compliance Officers, AI Engineers, Enterprise IT Departments

Pricing: Subscription · Categories: Chatbot Development, Developer Tools

Related tools

  • Tambo — Tambo is an innovative development platform designed for software engineers and product teams who want to build intelligent AI agents…
  • Vapi — Vapi is a specialized developer platform designed to streamline the creation, testing, and deployment of conversational voice AI agents. It…
  • Webbotify — Webbotify is an artificial intelligence platform designed to help businesses streamline their customer service operations by deploying custom chatbots. By…
  • Ema — Ema is an enterprise-grade platform designed to automate complex corporate roles through a collection of specialized AI agents. Rather than…
  • Hostcomm AI Customer Service Agent — Hostcomm AI Customer Service Agent is a comprehensive management platform designed for businesses looking to unify and optimize their multi-modal…
  • GPTBots.ai — GPTBots.ai is an enterprise-grade platform designed for businesses looking to deploy custom AI agents and intelligent chatbots into their existing…

Tags: AI, ai agent, developer tools, Generative AI, Reporting

Visit Waxell

  • AI Tools
  • Categories
  • Industries
  • CLI Coding Agents
  • MCP Servers
  • MCP Categories