Reviewing AI Output Before It Ships

Armbrain and your AI draft things. Your job is quality control before it reaches the client. The CMO trusts that anything you approve is ready to send.

Why This Role Exists

AI is fast. It can draft an email in seconds, pull together a meeting brief in under a minute, and generate a campaign summary before your coffee gets cold. But speed without judgment is dangerous.

AI can make mistakes that sound convincing. It may reference meetings that never happened, drift from a client's brand voice, or fill knowledge gaps with made-up details. Catch these issues before anyone outside the team sees them.

Common AI Mistakes to Watch For

Mistake	What It Looks Like	How to Catch It
Made-up details	"As we discussed in last Tuesday's call..." (there was no call)	Cross-check dates against the calendar
Wrong tone	Too formal for a casual client, too casual for a corporate one	Read it out loud - does it sound like your CMO talking to this person?
Generic filler	"We're excited to leverage synergies to drive results"	If it sounds like it could be about any client, it's filler
Outdated info	References an old campaign, a former team member, or last quarter's numbers	Check against recent meeting notes and Armbrain
Hallucinated metrics	"Your traffic increased 23% last month" (it didn't)	Verify any specific numbers against actual data
Name confusion	Using the wrong stakeholder name or mixing up client details	Confirm names and roles against the client mind

The "Would the CMO Actually Say This?" Test

Before approving anything, ask: Would these words sound natural if your CMO said them to this client?

If the answer is no, something needs to change. Common failures:

Too stiff. Your CMO calls the client "hey Sarah" and the draft says "Dear Ms. Chen." Fix the register.
Too chummy. The client is formal and the draft opens with "What's up, team!" Match the relationship.
Too long. Your CMO sends three-sentence emails. The draft is four paragraphs. Cut it.
Wrong priorities. The draft leads with metrics when this client cares about creative direction. Reorder.

You know your CMO's voice because you hear it every day. Trust that knowledge.

Brand Voice Drift

AI can slowly drift from a client's brand voice over time. It may start sounding like generic marketing AI instead of the client.

Watch for:

The client uses casual language but the AI keeps slipping in corporate jargon
The client's brand is warm and personal but the AI produces distant, third-person copy
Industry-specific terms get replaced with generic equivalents
The client's preferred phrases ("our community" vs "our customers") get swapped

When you notice drift, pull the brand voice to compare:

"Switch to Acme Corp"

"Show me Acme's brand voice"

Pulling up a client's brand voice to check AI output against it

Compare the output with the stored voice guidelines. Flag any mismatch. Over time, you'll learn each client's voice and catch drift early.

What to Check in Each Type of Output

Email drafts:

Correct recipient name and title
Tone matches the relationship
Any referenced meetings or calls actually happened
Action items are accurate and attributed to the right person
Attachments mentioned actually exist

Meeting briefs:

Attendee list is current (nobody who left the company, nobody missing)
Open items are still open (not already resolved)
Background context is accurate, not fabricated
Recommendations align with what the CMO has actually been discussing

Client reports:

All metrics are verified against source data
Comparisons reference the correct time periods
Recommendations follow logically from the data shown
Client-specific terminology is used correctly

Content drafts:

Brand voice alignment (check against stored guidelines)
Facts and statistics are verifiable
No placeholder text left in ("insert X here", "[TBD]")
Formatting matches what the client expects

When to Fix It Yourself vs. Flag It

Fix it yourself:

Typos, grammar, formatting issues
Minor tone adjustments (too formal, too casual)
Obvious factual corrections (wrong date, misspelled name)
Removing generic filler and tightening language

Flag for the CMO:

Strategic recommendations you're not sure about
References to conversations or decisions you can't verify
Significant tone mismatches that might reflect a relationship nuance you don't know about
Anything where you're not confident in the correction

Verifying a factual claim in AI-generated content

When you flag something, be specific: "The draft references a pricing discussion from March 15 but I don't see that on the calendar. Did this happen in a call I don't have notes for, or did the AI make it up?"

Building the Trust Loop

The goal is a simple workflow: AI drafts, you review, CMO sends. Over time, the CMO should be able to trust that if something made it past you, it's ready. That trust is earned by catching things early and being honest when you're not sure.

Store patterns you notice so the system improves:

"Quick note: AI keeps using 'leverage' in Acme drafts. Sarah has said twice she hates that word. Flag for brand voice update."

End of Week: Building the Weekly Summary - reviewing the weekly summary before it goes out
Tracking Action Items Across All Clients - verifying action items referenced in drafts
Prepping Your CMO for Meetings - reviewing meeting briefs before the CMO sees them

Reviewing AI Output Before It Ships