AI Governance
AI Governance Should Not Mean Blocking AI
Banning AI pushes people to use it in secret and allowing everything invites trouble, so the better path is to watch first and add controls only where the risk is real.
Insights · Research · Perspectives
Tracston Insights
AI Operations, Governance, Performance and the Emerging Agent Workforce
Categories
- AFPM Monitoring the AI flow itself: performance, cost and whether the outcome was achieved. 4 essays · 1 guide
- AI Governance Governing how AI is used across the organization, without simply blocking it. 4 essays
- Agent Workspace Operating AI agents together, with the boundaries autonomy requires. 2 essays
- Observability Correlating AI activity with the entire technology stack underneath it. 3 essays
All essays and guides · 8–14 of 14
AI Governance
Organizations Need to Know Which AI Agents Actually Exist
AI agents are appearing inside tools, teams and systems faster than anyone is counting them, and governing them starts with knowing how many there are.
Agent Workspace
The AI Agent Workforce Has a Workspace Problem
People at work have email, calendars, shared files and task lists, but AI agents usually have none of these, and that becomes a real problem as their number grows.
Agent Workspace
Autonomous Agents Need Boundaries, Not Just Capabilities
The more an AI agent can do, the more it matters what it is allowed to do, and clear limits are what make it safe to let agents act on their own.
Observability
AI Monitoring Cannot Live in a Separate Universe
When AI slows down, the cause is often a database, network or service underneath it, so AI monitoring has to be connected to everything else.
Observability
The Next Generation of Observability Will Follow Decisions, Not Just Requests
AI agents make decisions whose effects ripple through systems for hours or days, so understanding incidents will mean tracing decisions, not only requests.
Observability
The Monitoring World Is Changing: From Data Overload to Operational Intelligence
Most IT teams do not lack information but have too much of it in too many places, and the next step is connecting it into one clear picture of what is wrong and why.
Thirteen essays and a guide on AI operations, governance, performance and the agent workforce. Follow via RSS