Portfolio

Athropy

Athropy gives organizations a transparent view of how their teams use AI tools. The platform collects data through Model Context Protocol, analyzes token consumption, costs, models and workflows, then identifies opportunities to improve quality, efficiency and the way AI is used.

Challenge

As AI adoption grows, organizations lose visibility into token consumption, costs and workflow consistency. Data is fragmented across tools and teams, making it difficult to determine which use cases deliver value and which require optimization.

Solution

We built an MCP-based observability layer that aggregates AI-tool activity in one dashboard. Athropy monitors usage across teams, analyzes tokens and costs, identifies inefficient patterns, and generates practical recommendations for improving AI workflows.

Key features

  • Team-level AI usage monitoring
  • Token, model and cost analytics
  • Detection of inefficient workflows and usage patterns
  • Data-driven optimization recommendations
Athropy
Athropy