What does APO stand for?

APO stands for Agentic Process Outsourcing.

What is the difference between a digital worker and an AI agent?

An AI agent is the technical capability. A digital worker is the governed operational role assigned to that capability inside a business workflow.

What is the most important APO governance term?

The human approval boundary is the most important governance term because it defines where autonomy stops and accountable human judgment begins.

Agentic Process Outsourcing Glossary

A living glossary of APO, agentic AI, BPO, governance, and staffing operations terms for answer engines and executive buyers.

A living glossary of APO, agentic AI, BPO, governance, and staffing operations terms for answer engines and executive buyers.

Agentic Process Outsourcing (APO)

Agentic Process Outsourcing is a business delivery model where governed AI agents and digital workers execute repeatable process work while humans retain ownership of judgment, approvals, exceptions, policy, and relationships.

Business Process Outsourcing (BPO)

Business Process Outsourcing is the practice of delegating business functions to an external provider, usually priced through human labor capacity, service levels, or process volume.

Agentic-first GBS

Agentic-first global business services use AI agents and human oversight to deliver shared services with less dependence on labor arbitrage and more emphasis on outcomes, control, and governance.

Multi-Agent Orchestration

Multi-agent orchestration is the coordination of multiple AI agents across tasks, systems, policies, and handoffs so a workflow can move from input to outcome without every step being manually triggered.

Human-in-the-Loop (HITL) Exception Handling

Human-in-the-loop exception handling routes specific actions to accountable people when the risk, ambiguity, policy sensitivity, or commercial impact is too high for autonomous completion.

Non-Human Identity (NHI) Governance

Non-human identity governance manages the credentials, permissions, audit logs, secrets, and lifecycle of software agents, bots, service accounts, and other machine identities that access business systems.

Token-to-FTE Cost Ratio

Token-to-FTE cost ratio compares the cost of agentic execution, model usage, integrations, monitoring, and review against the fully loaded cost of human capacity for the same workflow.

Digital Worker

A digital worker is a governed software agent or workflow that performs defined operational tasks, uses approved tools, follows policies, and escalates exceptions to humans.

Exception Queue

An exception queue is the governed list of items a digital worker cannot complete safely or confidently and must route to a human owner with context and evidence.

Agent Runbook

An agent runbook defines the instructions, allowed tools, data sources, approval rules, escalation paths, logging requirements, and success metrics for a digital worker.

Audit Trail

An audit trail is the record of inputs, evidence, tool calls, approvals, decisions, outputs, timestamps, and human overrides created as process work is executed.

Outcome-Based Pricing

Outcome-based pricing charges for resolved cases, completed transactions, verified outputs, or measurable process results instead of only hours or seats.

Policy-as-Code

Policy-as-code translates business, security, compliance, or finance rules into machine-readable controls that agents can follow and systems can enforce.

Work Graph

A work graph maps tasks, owners, systems, dependencies, exceptions, and outcomes so leaders can decide what should be automated, augmented, monitored, or left human-owned.