SmartifyBrand Voice and AI Output Governance Training
Either your team owns the guardrails on AI output, or everyone keeps guessing.
People already use AI for emails, posts, help desk replies, and follow-ups. We teach and coach. The skill, the voice guide, and the do-not-say list stay with you.
- What it includes
- A voice guide and do-not-say listPlus review checkpoints and a test set your team can rerun
- Who it is for
- Teams whose AI output reaches customersacross several people or tools
Own the guardrails or keep guessing
Guessing looks like this. A marketer asks a chatbot for a promo email and it calls your service guaranteed. A support rep pastes in a draft that hints at a refund you do not offer. A sales rep's follow-ups sound loud and cheerful while your website sounds calm and plain. Nobody did anything wrong. Without shared rules each person wrote their own prompt and hoped.
- Turn your brand voice into a written guide an AI tool can follow, with examples of what sounds like you and what does not.
- Build a do-not-say list covering risky claims, promises you cannot keep, words your legal or compliance people flag, and phrases that are not you.
- Test prompts against the guide before a draft goes out, so problems show up in practice and not in a customer's inbox.
- Set review checkpoints so it is clear who signs off on what.
- Update the rules when a product, policy, or offer changes, without waiting on an outside vendor.
Signs your AI tools already need governance
Same question, different answers
Two reps ask AI about cancellations. One draft says 30 days, the other says anytime.
One person's prompt holds it together
It gets copied across threads. When that person leaves, quality drops and nobody knows why.
Old offers keep appearing
Last quarter's promotion or a retired product name, because nobody told the tool things changed.
Several tools, no shared voice rules
Your CRM, help desk, and marketing chatbot each have their own settings.
Review is slipping
A manager read every draft early on. Now people skim or skip.
Customers comment on tone
Replies sound stiff, too cheerful, or like a bot.
One sign alone is a quick fix. Two or three together mean AI output is shaped by habit and luck. None of them comes from a bad tool, which is why buying a new tool rarely helps.
Do your drafts sound like one company?
Send three recent AI drafts from different people. We will tell you whether you need training or a one-page list.
External and internal AI need different rules
External
What customers read or hear
- Adjust voice by channel. A billing apology is calmer and shorter than a launch post.
- Flag claims that need proof or approval: pricing, timelines, results, anything that sounds like a guarantee.
- Write rules for complaints and refund requests, where drafts tend to drift.
- Keep chatbot and phone scripts on the same guide as marketing.
Internal
What your staff rely on
- Decide which documents an assistant may draw from, and keep retired versions out of reach.
- Set topics it hands to a person, like pay disputes or private customer data.
- Instruct it to say it does not know instead of guessing.
- Check answers on a schedule.
Many teams govern the public side and ignore the internal side because nobody complains. Then an internal assistant hands a new hire outdated wording and it shows up in a customer email a week later. When your team owns both sets of rules, one policy change is made in one place. Internal assistant governance has its own training; this curriculum builds the shared voice and guardrail skills both sides depend on. The permission and data side of the rules belongs in the AI Playbook and Guardrail Development work.
How the training runs
Gather what you have
Emails and posts you are proud of, a few that made someone wince, any old style sheet, prompts copied around chat threads, claims your legal people pushed back on, and current offers.
Document
Your team turns the pile into a short voice guide and do-not-say list. If a rule cannot be explained with a before-and-after example, it is not clear yet.
Practice on real work
Take a real task, such as answering a customer about a late order, and run it through the guide. Compare drafts across people and tools.
Set the routine
Decide who reviews which output, where current rules live, and who may change them.
Coach
New habits fade once daily work resumes. Your team brings drafts that went sideways and we work out what the rule should say now.
Prove the guardrails work before a wider rollout
Rules on paper are not proof. Your team writes a short bank of prompts built to trip the rules, then runs every prompt through every tool in the rollout, because a rule that holds in one tool can fail in another.
- A customer asking for a refund you do not offer.
- A request to call your service guaranteed or the best in town.
- A question about an offer you have retired.
- An angry message that tempts the AI to over-apologize or promise a fix.
- An internal question the assistant should hand to a person.
- A request for a price or timeline nobody has approved.
Decide what passing means first. Any draft that breaks a do-not-say rule is a fail. Then run a small pilot with a few people from different teams while a reviewer reads everything. Keep the test set after launch and rerun it when a policy changes, a tool is added, or a vendor updates its model. You are ready to widen the rollout when the test set passes across every tool, pilot reviewers stop finding new kinds of mistakes, and someone clearly owns the rules. For a small team that can be a shared spreadsheet and an afternoon.
What it costs
The price of Brand Voice and AI Output Governance Training depends on what you need, so we scope it with you before we quote. A short call is enough to get a number, and it never sits behind a form.
Four things move the price up or down.
- Scope. A single team or process costs less than several departments in one engagement.
- How many people or systems are involved. More staff to train, or more tools to connect, means more time.
- How ready your information is. Clean, documented processes and data shorten the work. Scattered ones add prep.
- What happens afterward. A one-time deliverable costs less than work that includes follow-up support or ongoing upkeep.
Whoever you hire, ask what is included, what counts as extra, and who owns the result when the work ends. Ask us for a quote.
Questions we get
What will our team be able to do after the training?
Write a voice guide an AI tool can follow, build a do-not-say list, test prompts against both, set review checkpoints, and update the rules when a product, policy, or offer changes.
Do we need this if only a couple of people use AI?
Probably not yet. If a person reads every word before it goes out, a one-page list of banned claims and a few sample paragraphs may be enough. Revisit it when more people use AI or review gets lighter.
How do we check the guardrails work?
Write a test set of prompts built to trip the rules, run it through every tool in the rollout, and score each draft against what passing means. Any draft that breaks a do-not-say rule fails. Rerun the set after policy, tool, or vendor changes.
Does this cover internal assistants too?
It covers the shared voice and guardrail skills internal and external AI depend on. Governing an internal assistant in depth has its own training.
Keep your AI output on-brand
Your team writes the rules and knows how to edit them.
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