Case Studies

Case study
Accelerating Scientific Discovery Through Cloud-Powered HPC Infrastructure for a global pharma
Case study
Accelerating Scientific Discovery Through Cloud-Powered HPC Infrastructure for a global pharma
Case study
Modernizing Clinical Data for Unified Oversight and Performance
Case study
Modernizing Clinical Data for Unified Oversight and Performance
Case study
Transforming Global Sales Data into a Unified Onboarding Framework for Biopharma
Case study
Transforming Global Sales Data into a Unified Onboarding Framework for Biopharma
Case study
Accelerating Regional Data Operations with Automated Rollovers for a Global Biopharma Across Multiple Markets
Case study
Accelerating Regional Data Operations with Automated Rollovers for a Global Biopharma Across Multiple Markets

Events

20
Jun
2025

Pharma CXO Roundtable 2025

Advancing Life Sciences Business Process Innovation Using Autonomous Agentic Al

18
May
2025

PMSA 2025 Annual Conference

Revolutionizing Pharma Commercialization with Agilisium's AI Agents

2
Apr
2025

Bio-IT World 2025

Supercharge Life Sciences Innovation Using AI Agents

10
Mar
2025

Pharma SOS Annual Conference 2025

Revolutionizing Pharma Commercialization with AI Agents

White Papers

A Strategic Pharma Blueprint for Rare Disease Incentive Design

Rare disease therapies break the rules of traditional incentive compensation. With minor patient populations, long diagnosis timelines and multi stakeholder decision making, volume targets are discouraging and unfair.

Trust by Design: Enabling Compliant & Resilient Data Operations in Salesforce

Digital transformation has made Salesforce the backbone of enterprise operations. But for regulated industries, the stakes are higher, data integrity, recoverability, and compliance aren’t optional, they’re mission critical. From 21 CFR Part 11 to HIPAA, GDPR, and GxP, the challenge isn’t just securing data, it’s proving compliance every day while still moving fast.

Fixing What Automation Missed: How Agentic AI Resolves Innovation and Automation Debt in Life Sciences

Life sciences organizations invested heavily in RPA, workflows, and now GenAI. But here’s the uncomfortable truth: automation alone has hit a wall. It streamlined tasks but left behind “innovation debt” and “automation debt”—siloed systems, stalled pilots, and slow decision cycles.