AI Literacy Program

Your team can't use AI tools they don't understand or trust.

Before your organization deploys AI, your team needs the concepts, the vocabulary, and the judgment to use it well. Role-targeted tracks across reps, managers, medical, regulatory, and leadership — so adoption doesn't stall at the point of use.

Why Literacy First

Teams that understand AI adopt it. Teams that don't, resist it.

What looks like an AI adoption failure is usually a literacy failure. Reps don't trust AI-generated talking points because no one explained where the content comes from or how to spot when the model is wrong. Managers can't interpret AI readiness scores because they don't know what the model is measuring. Medical and Regulatory teams reject AI-generated content reviews because they have no framework for what "AI-generated" means inside their workflow.

More training on the tool doesn't fix this. Foundational literacy does. Once teams have the vocabulary — what LLMs do well, what they fail at, where human judgment belongs in the loop — adoption stops being a fight. It becomes normal use of normal tools.

That's what this program does. Six role-targeted tracks, built on 25 years of practitioner biopharma commercial training methodology, delivered at enterprise scale through UMU.com.

Every failed pharma AI deployment we've diagnosed had the same root cause: the people expected to use the tools didn't have the vocabulary or judgment to use them well.
Elena Marquez, AI Literacy Program Lead, Proxa Labs
Six Role-Targeted Tracks

Built for every role that touches AI outputs.

Each track is calibrated to the AI tools and decisions specific to that role. No generic 'what is AI' modules.

All roles
What AI Actually Does
How LLMs work, where they fail, and why outputs require human judgment.
Medical · Regulatory
AI in a Regulated Environment
How AI interacts with MLR review, GxP validation, and compliance requirements.
L&D · Marketing
AI for Content Creation
Prompt design, output review, citation verification, and the human judgment layer.
Commercial · Sales
AI in Field Conversations
AI-generated talking points, coached preparation, and HCP persona behaviors.
Managers · Leaders
AI and Performance Data
How to interpret AI-generated competency scores and readiness predictions.
Leadership · CLO
Building an AI-Ready Mindset
Experiment-first culture, evaluating vendor claims, and institutional vocabulary.
+87%
AI tool adoption rate vs deployments without literacy program
−72%
support tickets related to AI tool misuse in first 90 days
3.8×
speed to AI value vs technology-first deployments
100%
of completing learners pass post-assessment
Delivery Partnership

Built with UMU.com. Deployed at enterprise scale.

Proxa Labs' curriculum runs on UMU's enterprise learning infrastructure, giving biopharma commercial teams a scalable way to deploy AI literacy globally through InsiteX, an existing pharma LMS, or UMU's native platform.

Delivery modelCurriculum + infrastructure
Integration pathInsiteX, existing LMS, or UMU
MeasurementPre/post assessment + cohort reporting
×
Enterprise AI literacy delivery infrastructure
5,000+
learners per cohort
6 wks
kickoff to certification
3
deployment regions
LMS
agnostic delivery
Global Reach
North America
Europe
Asia-Pacific

Literacy first. Tools second.

The organizations getting the most out of AI didn't start with the tools. They started with the team's ability to use them well. Book a consult and we'll map a literacy rollout for your organization.