For pharma and life sciences

Task Intelligence for pharma operations

Three canonical pharma ops patterns, redesigned at the task level. Clinical trial coordination, pharmacovigilance case processing, regulatory submission. Hours freed per scientist and analyst, throughput 2 to 3x, same eTMF, same PV system, same GxP envelope. Plus live AI redesign of four pharma workflows.

152,000
Real job postings analyzed
620
Companies in dataset
2.1M
Tasks classified
0
Pharma tasks ready for AI augment
Jobs view

Three roles in pharma ops, redesigned at the task level

Every pharma desk has the same task shape: read scientific or regulatory content, cross-reference SOPs and prior submissions, draft a memo or coding decision, human reviews and signs. Each role below keeps doing the work — AI takes the load on the routine tasks. Hours freed, throughput up, same regulatory envelope.

Where AI cowork lands first in pharma ops

0 pharma tasks where the AI takes the load and the human stays on the decision. Pulled live from our task taxonomy. The top 0 are below. 0 more are ready for full automation, expand the list to see them.

0 pharma tasks ready for full automation

How we work with pharma orgs

Co-sponsored model. Functional head (Head of Clinical Ops, Head of PV, VP Regulatory) plus your transformation office in the room. Sprint proves the redesign in 90 days inside one functional area. Transformation Engagement scales across — same eTMF, same PV system, same GxP envelope.

Sprint
90 days
One functional area, three tasks redesigned
Transformation Engagement
Custom
Operating-model redesign across clinical, PV, regulatory, manufacturing ops
Implementation
Same GxP stack
Same staff, same validated systems, AI cowork layer on top with audit trail

Want a pharma-specific walkthrough?

20 minutes. We pull your top three task patterns from the dataset and show you the redesign live, with your role mix and your regulatory frame.

Book a time