All the AI in your business, in one place: every assistant, agent, and AI inside your apps, including the ones you didn't know about. See the work, the spend, and where it's going.
Every AI event as it happens, with the intent behind it.
Licenses and spend by team, person, and type of work.
Feedback on AI-assisted work: see what's working.
Cost dashboards record which model ran and what it cost. Developer trace tools can see the prompts, but they read them for how the system behaves, not why the business is using it. ISpyMyAI captures every event with the prompt or instruction behind it, and reads it for the work: who, which workflow, and what it's worth.
Tokenomics is the economics of your AI: usage, licenses, spend, and return. Usage alone is a meter reading. Usage with business context, whose work, which team, what type of task, is a decision you can act on.
Return on AI is effectiveness and efficiency, made measurable. Because every AI event is captured and classified to the work it serves, the people doing that work can rate it, and those ratings roll up into signals the business can act on.
Cost tools see the bill. Dev tools see the apps you build. We see how AI is actually used across your business.
Cost platforms capture cost events and join business dimensions to the dollars: by design, never the content. We capture what AI was asked to do.
IT observability tools trace the AI you build, the how: latency, errors, evals. Cost tools meter what it costs. ISpyMyAI reads the why: what your business uses AI for, including what never appears on an invoice.
The stream reads like work, not telemetry: plain-language actions, workflow tags, people and teams. A COO can read it as easily as a platform engineer.