Vodori

Long MLR reviews don't just delay launches. They quietly multiply the work.

Our 2025 benchmark data found that every extra day a piece sits in review adds an average of 42 minutes of system work per piece. Reviewers have to reopen files, re-orient themselves, and coordinate all over again.

Over a year, those minutes compound into hundreds of hours of hidden labor.

How much could your team reclaim?

See where your process stands: https://hubs.li/Q04jFr3q0

Your MLR process is only as strong as what happens after approval.

Most life sciences teams put serious effort into review. But the moment a piece is approved, it often gets handed off manually, uploaded to a portal, attached to an email, or dropped into a folder. That last mile is where compliance and speed quietly break down.

Our latest blog breaks down why integrations are essential for scaling compliant content operations, and what to look for when evaluating them.

Read it here: https://hubs.li/Q04jFCRM0

AI makes it trivial to produce endless variations of the same content. Each one enters the same MLR review workflow as the anchor materials.

The result is what's called Generation Loss. Photocopies of photocopies, where small distortions compound until the output is barely legible. More circulations. Longer review cycles.

More isn't better.

Read more on what AI is doing to MLR teams: https://hubs.li/Q04fsSLz0

AI makes it easy to produce "good enough" content 4.7x faster than human writers can.

But when every team uses similar tools in similar ways, the messaging converges. Headlines become interchangeable. The voice goes synthetic. Distinctiveness disappears.

The result is more content, less distinction, and a harder time deciphering what is actually driving performance.

Read the full piece on AI and MLR: https://hubs.li/Q04fsX9r0

Score your MLR process in under 5 minutes.

Our latest ebook includes a 12-question self-evaluation that scores your team's MLR process across the areas that matter most. You finish with a number, a benchmark, and a clear sense of where to focus.

Plus, you’ll get access to the 11 collaboration and process best practices behind every question.

Download here: https://hubs.li/Q04fsvVh0

The best MLR insights we collect each month don't make it onto social.

They go to Amend & Progress subscribers first.

Workflow tactics that are working for life sciences teams right now. Compliance angles you won't find in a generic regulatory roundup. Honest takes on what's actually changing in the industry, and what isn't.

If your inbox could use one email a month that's actually worth opening, this is it.

Subscribe: https://hubs.li/Q04fszbM0

AI doesn't get things wrong loudly. It gets them wrong convincingly.

A 2026 study found hallucination rates across leading large language models commonly exceeding 15-30%. In life sciences, the danger isn't just inaccuracy. It's semantic drift. "May cause" vs "might cause." "Associated with" vs "linked to." Subtle wording differences that materially change a claim.

Read more on the consequences of AI generated content on MLR: https://hubs.li/Q04fswBp0

Is your promotional review process built to handle digital content?

Most content review systems in place today were built incrementally, layered onto legacy workflows, and never fully designed for the volume and speed demands of modern promotional review. The cost is quiet but real: every extra day content spends in review adds 42 minutes of active system work per piece.

Our latest blog covers what benchmark-leading life sciences teams are doing differently to close that gap.

https://hubs.li/Q04fszJd0