47 terms
Definitions in this topic
- ProductionAgent as codeAgent as code explained: defining agents in version-controlled files so behavior changes get reviewed and rolled back.
- ProductionAgent deploymentAgent deployment explained: release gates, scoped access, monitoring, and rollback.
- ProductionAgent lifecycleAgent lifecycle explained: the stages, owners, evidence gates, and retirement controls for production AI agents.
- BusinessAgent sprawlAgent sprawl explained: why companies cannot count their AI agents, what it costs, and how to get the estate back.
- BusinessAgentic codingWhat agentic coding is, how it differs from code completion and vibe coding, and why it is shifting build vs buy decisions.
- BusinessAgentic commerceAgentic commerce for sellers: when software is the shopper, machine readable catalogs, clear policies, and clean interfaces decide who gets bought from.
- BusinessAgentic paymentsWhat agentic payments are, how delegated purchase authority works, and the controls a business needs before agents can spend.
- BusinessAgentic process automationAgentic process automation, APA, as the category replacing RPA fleets, and what actually changes when a company switches.
- BusinessAI adoptionAI adoption explained: why pilot count is the wrong metric, and what actually drives whether people use a system.
- BusinessAI agent platformAI agent platforms explained: shared infrastructure for building, operating, evaluating, and governing agents.
- BusinessAI business caseAI business case explained: the evidence needed to fund one AI use case, measure value, count costs, manage risks, and stop weak work.
- BusinessAI FinOpsAI FinOps explained: attributing token and inference spend, setting budgets, and tying AI cost to business value.
- BusinessAI in civil engineeringWhere AI actually works in civil engineering today: design options, structural monitoring, predictive maintenance, and project paperwork.
- BusinessAI in HRWhere AI actually helps an HR team, which uses count as high risk under the EU AI Act, and how to start safely.
- BusinessAI in logisticsWhere AI earns its keep in logistics: routing, warehouses, maintenance and freight documents, and how to start small.
- BusinessAI in manufacturingWhere AI pays off in manufacturing: predictive maintenance, quality control and planning, and how to pick the first use case.
- BusinessAI in supply chainHow AI is used across supply chain planning, inventory and delivery, and where agents change the work rather than the math.
- BusinessAI literacyAI literacy explained: practical skills for using AI, checking outputs, protecting data, and escalating risk.
- BusinessAI maturity modelAI maturity model explained: the five common stages, the dimensions that matter, and how to use a score honestly.
- BusinessAI operating modelAI operating model explained: roles, controls, delivery, and measurement for repeatable AI adoption.
- BusinessAI readinessAI readiness scored per workflow across four dimensions, with a free assessment and diagram showing how they combine into a verdict.
- BusinessAI receptionistAI receptionists explained: automated intake, routing, booking, approved answers, and the boundaries that keep front-desk work reliable.
- BusinessAI roadmapAI roadmap explained: a sequenced plan for AI experiments, dependencies, controls, owners, milestones, and evidence-based decisions.
- BusinessAI strategyAI strategy explained: the business choices, workflow priorities, capabilities, risks, and measures that turn AI interest into accountable action.
- BusinessAI transformationAI transformation explained: why it compounds from many small wins, not one company wide rollout, and how to start.
- BusinessAI use case prioritizationAI use case prioritization explained: choosing AI work by business value, feasibility, risk, and ownership.
- BusinessAI Vendor Lock-InAI vendor lock-in defined, including its technical, data, operational, and commercial sources.
- BusinessAI website builderWhat an AI website builder does, where it is enough for a business, and where a generated site stops being enough.
- BusinessApplied AIWhat applied AI means in practice, why the term separates AI leaders from pilots, and how a company moves from experiments to outcomes.
- BusinessBuild vs buy for AI systemsBuild vs buy for AI systems: the real decision factors, and why most companies actually need both.
- BusinessContact center AIContact center AI explained: agent assistance, automated service, call analytics, routing, and the controls needed for reliable operations.
- BusinessConversational AIConversational AI explained: text and voice interfaces, multi-turn context, task completion, and how the term differs from AI agents.
- BusinessCopilot StudioCopilot Studio explained: Microsoft's low-code agent builder, its connectors and flows, and the controls to check before production use.
- BusinessData readiness for AIData readiness for AI explained: what makes data usable by an AI system, and why it blocks more pilots than models do.
- BusinessDigital twinWhat a digital twin is, what it takes to build one honestly, and why AI agents make twins more useful than dashboards.
- BusinessDocument AIDocument AI explained: classifying files, reading layout, extracting structured data, and validating results before workflow use.
- BusinessForward-deployed engineeringWhat the forward-deployed engineering model is, why AI vendors sell it, and what buyers should check before paying for embedded engineers.
- BusinessHuman-agent teamingHuman-agent teaming explained: dividing work between people and agents, and who actually manages an agent.
- BusinessHyperscalerWhat a hyperscaler is, who the big five are, and what hyperscaler choices mean for a company buying AI capacity.
- ProductionModel PortabilityModel portability defined, with practical architecture choices that reduce provider switching effort.
- BusinessNo-code AI agent builderNo-code AI agent builders explained: where visual configuration helps and where production limits appear.
- BusinessPhysical AIPhysical AI explained: AI that acts through robots and machines, how real it is today, and what it means for operations.
- BusinessProcess intelligenceProcess intelligence explained: seeing how work actually flows from system data, and using it to pick what to automate.
- BusinessSystem of actionWhat a system of action is, how it differs from a system of record, and what the shift means for a mid-market software stack.
- BusinessVoice agentsVoice agents explained for buyers: what separates them from phone menus, why speech raises the bar, and which calls to automate first.
- BusinessWorkflow automationWorkflow automation explained for business leaders: what a fixed script actually does, and where it stops working.
- BusinessWorkslopWorkslop explained: polished AI output that shifts effort onto the reader, what it costs, and how teams stop it.