Methodology
Acceptance Criteria
Acceptance Criteria is a methodology term PRO71 uses to explain delivery context and decision quality in practical language.
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Technical, operational, and regulatory terms explained in practical language and grounded in UAE and GCC business context.
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Methodology
Acceptance Criteria is a methodology term PRO71 uses to explain delivery context and decision quality in practical language.
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Access Control is a compliance term PRO71 uses to explain delivery context and decision quality in practical language.
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Admin Portal is a technology term PRO71 uses to explain delivery context and decision quality in practical language.
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AEO focuses on structuring content so answer engines can extract clear, trustworthy responses from pages, FAQs, definitions, and evidence.
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A bot connected to a conversation platform to answer, route, collect context, or escalate before a human agent takes over.
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An agent evaluation harness is the controlled environment that runs agent tasks, provides tools and context, records behavior, and scores the result.
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An agent exam tests whether an AI agent can follow instructions, use tools safely, and complete tasks under defined rules.
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Agentic AI can plan, use tools, execute steps, and improve a workflow within defined controls rather than only generating answers.
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A command center is the operating layer that tracks agentic AI use cases, readiness, risks, evidence, and scale decisions across a service portfolio.
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Agentic consent defines when an AI agent is allowed to act for a user, what authority it receives, and when explicit confirmation is required.
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Agentic evaluation tests whether an AI agent can complete multi-step work safely and measurably in realistic tools and workflows.
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Agentic trust is the operating confidence that an AI agent can act within verified identity, delegated authority, observable behavior, and reversible controls.
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An agentic workflow is a controlled multi-step flow where AI can reason, choose tools, and still operate inside defined states, approvals, and stopping rules.
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An agent runtime is the operating layer that executes an AI agent with state, tool access, memory, controls, and lifecycle handling.
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An agent sandbox is a constrained environment where AI tool use can be tested without exposing production systems to uncontrolled actions.
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An agent supervisor is the control layer that routes, reviews, or limits subordinate agents so the wider system remains observable and contained.
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Agent tool permissioning defines which tools an AI agent can use, under which identity, scope, approval, and audit conditions.
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Agile Delivery is a methodology term PRO71 uses to explain delivery context and decision quality in practical language.
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An AI application platform is the shared layer used to build, govern, publish, and operate assistants, answer hubs, and AI workflows at scale.
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AI Copilot is a ai term PRO71 uses to explain delivery context and decision quality in practical language.
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AI CreativeOps is the operating system for planning, generating, reviewing, approving, and delivering AI-assisted creative assets.
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AI-enabled outsourcing uses controlled AI workflows to support partner-operated services while preserving KPI oversight and public accountability.
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AI Governance is a ai term PRO71 uses to explain delivery context and decision quality in practical language.
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AI Mode explains AI Mode visibility and answer-surface readiness in a practical delivery context.
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