MNC WITH VEEVA

The Challenge

A multinational pharmaceutical company wanted to bring AI-powered pre-screening into their medical content review process. They had the budget. They had the will. But they hit a wall that had nothing to do with AI accuracy.

Their existing MLR workflow ran on Veeva Vault PromoMats — the industry-standard content management platform. And the AI tools they evaluated couldn't integrate properly:

• Reviewers had to upload files separately to the AI system
• Wait for results to come back
• Then switch back to Veeva to process the findings

The result: a broken workflow. Reviewers didn't adopt the tool because it added friction instead of removing it. The team had a powerful AI engine sitting in a drawer — technically capable, practically unused.

The problem wasn't the AI's ability to review content. The problem was that the AI couldn't live where the reviewers already worked.

The Solution

ZENO integrated directly with the client's Veeva Vault PromoMats instance — not as a separate tool, but as an embedded quality checkpoint within the workflow reviewers already used every day.

The integration follows a simple four-step flow:

Reviewer uploads a file to Veeva

↓

Webhook / workflow trigger auto-captures the file

↓

ZENO runs AI pre-screening in the background

↓

Results are pushed back to Veeva

(not a separate window, not a login to remember)

What this means for the reviewer:

• File goes up → pre-screening runs automatically. No manual submission, no additional step.
• Results appear inside Veeva — alongside the document they're already reviewing.
• No switching between systems. No waiting for external dashboards. No extra clicks.

The entire integration — from kickoff to go-live — took 2 weeks. Not because it was simple, but because ZENO was built to plug into existing infrastructure, not replace it.

The Results

The Veeva integration turned an unused AI tool into a daily driver:

What stood out:

• Adoption went from "we should use this" to "this is just how we work" — because the AI became invisible. Reviewers didn't need to change their behavior; the system adapted to theirs
• No training required: Since reviewers stayed in Veeva, the learning curve was effectively zero. The tool simply appeared where they already were
• 2 weeks to production: A tight, focused integration sprint proved that "plumbing" doesn't have to be a bottleneck
• The hardest part wasn't the AI — it was the integration: And once that was solved, the AI's value was unlocked naturally

"We had the AI capability. What we didn't have was a way for our team to actually use it without jumping between systems. ZENO's Veeva integration solved that. Now it just works — reviewers don't even think about it."

— Medical Review Team Lead, Multinational Pharma

What's Next

With the Veeva integration live, the client is looking to extend the model:

• Standardize the integration pattern: Apply the same Veeva integration playbook to additional markets and regional teams
• Expand to adjacent systems: Explore integration with other content management and compliance platforms beyond PromoMats

The integration proved that AI doesn't need a new interface to add value. Sometimes the best thing you can do is disappear.