The Gate Check: Auditing PolicyBazaar's AI Content Pipeline for Missing Quality Gates

Marketing Academy · Field Work●Content Marketing

All projects·From: Scaling Content Velocity with AI: 10x Output, Not 10x Noise

MiniAudit· 25 minutes

PolicyBazaar (PB Fintech)

Objective: Given a real AI-assisted blog production log, identify which of the lesson's four quality gates are missing and what breaks without them.

You're a content ops analyst on PolicyBazaar's insurance blog team. Leadership just doubled the AI drafting quota with no new hires, and one article got flagged for citing a lapsed premium cap.

Walk a 10-article production log and flag which quality gate would have caught each problem before publish.

Before you start

What you'll need

Free path (everything below is enough to finish)

Google Sheets

FreeTrack and flag verification status per article

Free, no setup, easy to filter and sort a production log

The process

1 step

Step 01 of 01

Fact verification before publish

Gate 2 in the lesson requires every stat, date, and named example to have a source before a draft can move forward; an invented or outdated number gets cut, no exceptions.

Given this production log of 10 AI-drafted articles, 3 shipped with stats that were never checked against a source. Which gate was skipped, and what's the fix?

Google Sheets— Import production-log.csv, add a 'Source Verified Y/N' column

Procedure

Import the 10-row production log into Google Sheets
Add a 'Source Verified' column and mark each row Y/N based on whether a source URL is logged
Isolate the 3 rows marked N, these are the fact-verification gate failures

Sample output

Row 4: 'health insurance claim settlement ratio hit 99.9% in 2025' — Source Verified: N
Row 7: 'premium up to Rs 5 lakh is tax-free under Section 80D' — Source Verified: N (cap is outdated, changed in the last budget)
Row 9: 'more than 60% of Indians are now insured' — Source Verified: N

Healthy

Every published stat has a logged source URL and a check date before the article leaves the drafting stage.

Unhealthy

Three of ten articles publish with unverified or outdated numbers because no one owns the fact-check step.

What this means

This isn't a writing-quality problem, it's a missing gate. The brief and voice checks passed; nobody was assigned to verify facts.

So what do I do about it?

Symptom	Action	Effort
AI drafts contain a specific stat with no source	Add a mandatory 'Source Verified' column to the production tracker and block publish until it's filled	30 min
A regulatory or pricing number appears in a draft	Route the article to a subject-matter reviewer before the editor pass, not after	5 min

YouYou can do this yourself, no engineering access required.

Final deliverable

A gate-failure report flagging which of the 3 problem articles lacked fact verification, with a proposed tracker column to prevent recurrence.

See a reference example

Sample output

Snowflake DevRel blog, Q2 gate audit (excerpt)

GATE 2 FAILURE (1 of 8 articles)
  'Data warehousing costs dropped 40% industry-wide in 2025' — no source logged, flagged before publish, corrected to a cited Snowflake benchmark stat

Success criteria

You're done when you can:

Correctly identifies all 3 gate-2 failures in the log
Proposes a concrete tracker fix, not just 'be more careful'