Glossary of the post-seat enterprise
A working vocabulary for the shift from seat-based SaaS to agentic work execution — the terms behind agent cockpits, agentic operations, and human-agent work.
- Post-seat enterprise
- An operating model where business software is no longer organized only around human seats — work is performed by a mix of humans, AI agents, automations, and systems, shifting value from access to execution. Read more →
- Agent cockpit
- An enterprise control layer for seeing, coordinating, and governing work executed by AI agents, humans, automations, and business systems. A cockpit for human-agent work, not a chatbot or dashboard. Read more →
- Agentic operations
- The discipline of running work performed by humans, AI agents, and systems together — coordinating visibility, permissions, cost, accountability, and outcomes across them. Read more →
- AI agent operations
- The practice of running enterprise AI agents with visibility into where they act, accountability for agent-driven actions, and control across the systems they touch. Read more →
- Human-agent workflows
- Processes where humans decide and handle exceptions, AI agents execute repeatable work, and systems record it — each operating at the right layer, with defined handoffs and approvals. Read more →
- Human-agent operations
- The broader operating model in which humans and AI agents jointly perform enterprise work, requiring shared visibility, governance, and accountability across both.
- Enterprise AI agents
- AI systems that read, write, and execute work across business systems under enterprise control — distinct from consumer chatbots (which only respond) and RPA (which follows fixed scripts). Read more →
- AI agent governance
- Applying permissions, approvals, accountability, and auditability to AI agents the way enterprises govern human users — so agent actions stay within defined boundaries and remain reviewable. Read more →
- AI workforce orchestration
- Coordinating a mixed workforce of humans and AI agents across systems so each operates at the right layer, with shared visibility, permissions, accountability, and cost awareness. Read more →
- Agentic work execution
- Work completed by AI agents acting across business systems, rather than by a person operating an application — the activity that decouples software value from seat count.
- Seat-based SaaS
- The licensing and operating model in which software is priced, provisioned, and governed per named human user. A seat represented access; access represented work; work represented value.
- SaaS seat optimization
- Matching SaaS licenses to real work rather than headcount. As agents execute more work, organizations may re-examine which users need full access — evaluated with security, compliance, and procurement. Read more →
- Software seat optimization
- The broader practice of aligning all software seats and licenses to real work as agents take on more execution, treating any projected savings as hypotheses to validate cross-functionally. Read more →
- Enterprise AI operating model
- The decisions an organization makes about how human and agent work are planned, governed, measured, and controlled together — explicit in the post-seat enterprise where systems are driven by both people and agents.
- Work execution intelligence
- Understanding how enterprise work is actually executed across humans, agents, automations, and systems — distinct from measuring software access or seat counts.
- Digital labor operating layer
- A control and intelligence layer for the work performed by digital labor — AI agents and automations — alongside human workers, providing the oversight that agentic execution requires.