Software that takes action autonomously, not just answers questions.
AI systems that execute multi-step tasks autonomously, not just respond to prompts.
Agents perform knowledge work at a fraction of human cost.
LLM reasoning and tool use have crossed reliability thresholds for production.
Enterprise APIs and workflow platforms are agent-ready.
Narrow agents for customer service, data entry, and report generation.
Multi-step agents handling complex workflows across enterprise systems.
Autonomous teams of agents coordinating on open-ended business goals.
Ticket resolution, refund processing, account changes without human intervention.
Lead qualification, CRM updates, proposal drafting, meeting scheduling.
Invoice processing, expense categorization, compliance checks.
Track earnings calls for 'agent' mentions and deployment metrics.
Assess integration depth, data advantages, and switching costs.
Watch for enterprise deal sizes and seat expansions.
Growth in tasks completed by AI agents across platforms.
Fortune 500 companies announcing agent rollouts.
New API partnerships between AI companies and enterprise platforms.
Chatbots respond to prompts; agents complete multi-step tasks autonomously by planning, executing, and iterating.
Reliability concerns, regulatory uncertainty, and the competitive moat question between platforms vs. vertical specialists.
Companies with deep enterprise integrations and workflow data—they can train agents on real task patterns.