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A sales enablement knowledge base for training: seven blocks, dates and owners, formatting rules, objections, forbidden promises, real questions and profiles.
Sales training QA: seven test questions, a test table, who tests, a pass rule and retesting after changes to a simulation profile.
Sales training content governance: six types of sensitive statement, four rules, an approval flow, a change log and regulated sectors.
Sales playbook version control: what to version, minor and major changes, a change log, reading scores across versions, approval and archiving.
Sales simulation accuracy: an AI customer that invents, wrong facts in the "better answer", speech recognition, controls and a weekly spot-check.
AI sales training pilot: four decisions, a baseline, a four-week plan, success criteria, a continue/change/stop decision and data rules.
AI assessment governance: five reasons a score is unfit for people decisions, the AI Act context, permitted and prohibited uses, and a sample policy.
Sales training privacy: anonymising scenarios, employee data, the notice to staff, voice practice, checking the knowledge base and typical mistakes.
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