Measuring Prompt Duplication as an AI Program Cost Driver
Redundant prompts are quietly consuming enterprise AI budgets at scale.
Julian Nystrom
AIENM
Tracking AI Agents Deployed Across Enterprise Teams
Enterprises must inventory AI agents before governance frameworks can work.
Beatrice Prasad
AI Agent Token Usage Tracking Across Deployments
Enterprises need agent-level token tracking, not just API-level cost monitoring.
Omar Marroquin
What Enterprise AI Agent Marketplaces Actually Give You
Most enterprise agent marketplaces sell catalogs.
Clara Bianchi
Failure Modes and Cascading Errors in Multi-Agent Systems
Specification and coordination problems cause most failures, but get caught too late.
Julian Nystrom
Observability and Debugging in Multi-Agent Systems
MCP's standardized architecture makes multi-agent failures visible before customers find them.
Julian Nystrom
enterprise AI control planes for multi-agent workflows
Enterprises need a control plane to govern AI agents consistently across workflows.
Beatrice Prasad
permission-aware data access approaches in multi-agent orchestration
Enforce permissions at every layer of your agent chain, not just at the top.
Omar Marroquin
tools for governed AI skill sharing across enterprise teams
A shared protocol cuts the custom integration work enterprises waste rebuilding AI skills.
Omar Marroquin
Agent registry and tool catalog solutions for enterprise AI governance
Enterprise AI needs registries and catalogs to govern agents at scale.
Julian Nystrom
platforms for enforcing data permissions across multi-model AI deployments
Data permissions across AI agents need runtime enforcement, not policy documents.
Julian Nystrom
enterprise MCP server providers with built-in governance controls
Enterprise AI adoption now outpaces the security guardrails to control it.
Julian Nystrom