AI Buyer Intelligence
ARM’s evidence-led practice of mapping the questions, sources, proof, and conversion conditions that shape a high-value B2B buyer decision.
Living vocabulary · version 1.0
Plain-language definitions for enterprise buying groups, intent and signal systems, agentic execution, and the evidence-led artifacts ARM uses. Terms describe an operating model—not guaranteed platform behavior or an external standard.
ARM’s evidence-led practice of mapping the questions, sources, proof, and conversion conditions that shape a high-value B2B buyer decision.
Business-to-business sales with high annual contract value or comparable strategic significance, typically involving extended evaluation and multiple stakeholders.
An event that gives buyer-intelligence work a decision date, such as a category move, launch, pipeline problem, competitive shift, transaction, or trust event.
The work of defining and establishing a new market frame, buyer problem, comparison set, and language for an emerging type of solution.
A deliberate change to how an existing market, problem, or alternative set is framed for buyers.
A commercial event that introduces a new offer or capability and creates fresh questions about fit, implementation, proof, and adoption.
Work intended to resolve specific evidence, stakeholder, or decision friction in active opportunities; it does not mean manufacturing urgency or guaranteeing velocity.
A focused effort to win accounts considering a named competitor or status-quo alternative by addressing decision-relevant differences with supported evidence.
The group of stakeholders who influence, approve, evaluate, implement, use, or block a B2B purchase.
The in-scope subset of people and roles involved in a particular decision. ARM does not assume a fixed committee size.
An internal stakeholder who actively supports the change and helps the buying group navigate evidence, consensus, and process.
The person or governing group with authority over the budget and business outcome attached to a purchase.
A stakeholder, requirement, or unresolved condition capable of delaying or preventing a decision.
Building relevant, role-aware relationships across multiple members of a buying group instead of relying on one contact.
The exposure created when an opportunity depends on one relationship and lacks access to other decision makers, evaluators, or blockers.
The process of connecting signals or records to the correct person, account, role, or organization while preserving uncertainty and privacy boundaries.
Observed behavior that may indicate research or interest. Intent is a probabilistic signal, not proof that a person will buy.
Buyer research and influence that occurs outside the seller’s directly attributable channels, including private conversations, communities, and unobserved content consumption.
Structured analysis of approved call, meeting, or message data to identify questions, objections, commitments, and recurring themes.
Information about the technologies an organization uses or may use. Coverage, freshness, and inference quality vary by source.
An approved observation about product activity that may inform adoption, expansion, support, or risk analysis when interpreted in context.
The governed process of combining relevant signals, sources, conditions, and ownership into a usable decision workflow.
A composite indicator derived from selected account signals. It is a decision aid whose inputs and limits should remain inspectable—not an objective statement of account truth.
A documented rule for when selected intent evidence warrants review or action. Crossing a threshold does not prove purchase intent.
Software-led completion of bounded tasks under an explicit mandate, with defined inputs, permissions, stop conditions, and human accountability.
Using AI to draft or transform approved source material into a defined content artifact subject to review and publication authority.
A workflow that observes a defined signal, applies a rule, initiates an approved action, and records the result for review.
The documented principal, objective, permission, resource, time, escalation, and revocation boundaries governing an agent or automated workflow.
A control pattern requiring a named person to review, approve, intervene in, or accept selected system actions.
An observable condition used to decide whether a deliverable or action meets the agreed requirement.
ARM’s no-cost, human-reviewed fit assessment based on the category, buyer, trigger, alternatives, timing, and available evidence. It is not a public score or free audit.
ARM’s $12,500 fixed-scope, 15-business-day engagement producing four decision artifacts after fit and written scope acceptance.
A decision-relevant question tied to a buying stage, stakeholder, observation condition, and commercial owner.
The Sprint artifact prioritizing 20–40 conversations across category inclusion, comparison, evaluation, objections, procurement, and validation.
The documented date, environment, question, market, account state, language, and other context needed to interpret an observation.
A missing, weak, conflicting, inaccessible, or unsupported source condition relevant to a buyer question.
The Sprint artifact connecting buyer conversations to observed source patterns, alternatives, confidence gaps, and the minimum defensible action.
An owned or approved place where a buyer can inspect evidence about fit, implementation, security, integration, outcome, or another material claim.
The Sprint review of whether an AI-referred or otherwise informed buyer can validate material claims and move through the relevant owned path.
The Sprint artifact listing five to eight priority actions with named owners, dependencies, acceptance tests, and measures.
ARM labels what a source directly supports separately from the interpretation or recommendation derived from it.
The sequence of proof, product, implementation, security, service, and conversion surfaces a buyer may use to resolve a decision.