This section covers rolling out AI sales training safely and reliably: a four-week pilot, a product knowledge base for simulation, the risk of AI stating wrong facts, governing price and promise statements in scenarios, keeping personal data out, why AI scores must not drive pay or dismissal, version control for content, and testing a new profile before release.
The articles are for sales leaders, enablement, HR and compliance; a lawyer's review is recommended on legal questions. The product side is on the Vexvon AI Training page; to discuss a pilot, contact us.
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Sales training privacy: anonymising scenarios, employee data, the notice to staff, voice practice, checking the knowledge base and typical mistakes.
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.
Sales training QA: seven test questions, a test table, who tests, a pass rule and retesting after changes to a simulation profile.
A sales enablement knowledge base for training: seven blocks, dates and owners, formatting rules, objections, forbidden promises, real questions and profiles.
Sales training content governance: six types of sensitive statement, four rules, an approval flow, a change log and regulated sectors.
AI assessment governance: five reasons a score is unfit for people decisions, the AI Act context, permitted and prohibited uses, and a sample policy.
AI sales training pilot: four decisions, a baseline, a four-week plan, success criteria, a continue/change/stop decision and data rules.
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