The AI you approved and think is running is not the only AI your organization is running.

AI transformation delivers lasting value when efficiency is supported by thoughtful process design, governance, workforce enablement, and human judgment, especially in complex, regulated environments like life sciences.

An AI agent escaped a test environment, compromised Hugging Face infrastructure, and exposed a governance gap most organizations have not yet closed.

Rishi Dixit, Head of Strategic Solutions and Innovation at Atlas, explores why go-live is not the end of transformation, especially in life sciences. Too often, organizations invest in alignment, trust-building, and training, but underinvest in the two stages that determine whether change actually lasts: Adopt and Sustain.

One protocol, eight weeks, five deliverables you keep — knowledge graph, AI assistant, amendment analysis, executive dashboard, business case.

Five levels from static PDFs to an enterprise intelligence foundation. Most clinical teams sit at Level 1–2. A single pilot reaches Level 3–4.

RAG chatbots answer questions over text. Protocol Intelligence models the study itself — traceable, reusable, and grounded. Here’s the difference.

76% of trials are amended; each substantial amendment costs $141K–$535K. The real cost isn’t the document — it’s the re- interpretation. Here’s the fix.

By Rishi Dixit, Head of Strategic Solutions, Innovation & Partnerships, Atlas For many life sciences organizations, the challenge is no longer whether to invest in digital, data, or AI agents. It is whether the organization can absorb change fast enough, govern it well enough, and operationalize it in a way that actually delivers value. That is where traditional managed services models often fall short. Most managed services are built to add capacity, improve efficiency, and

By Yashvika Khurana, Product and Solution Lead, Strategic Solutions What Is a Data Silo? A data silo is an isolated repository of information accessible by only one team or system. It’s like a digital island, valuable data resides there, but no one else can reach it. One guide succinctly notes that data silos block revenue clarity, slow decision‑making, and create competing versions of the truth across teams. They aren’t just technical annoyances; they lead to delayed reports

Life sciences organizations are moving quickly to apply AI across research, clinical, regulatory, and commercial operations. Access to models is no longer the barrier. The real challenge is context. By Rishi Dixit, Head of Strategic Solutions, Innovation & Partnerships, Atlas In regulated environments, every decision, document, and data movement must be explainable, governed, and repeatable. AI that operates outside those conditions may perform well in a demo but struggle in

AI creates value when it is designed to work with human expertise, not around it. By Yashvika Khurana, Product and Solution Lead, Strategic Solutions Artificial intelligence is rapidly becoming embedded across the life sciences value chain. From clinical development and regulatory submissions to medical affairs and commercial operations, organizations are investing in AI to accelerate timelines, improve data quality, and enhance decision-making. Yet as adoption increases, a c

Building Operational Confidence Through Data, Governance, And Execution By Yashvika Khurana, Product and Solution Lead, Strategic Solutions The Urgency of Data Execution in Life Sciences Life sciences organizations are generating more data than ever before. Scientific instrumentation, digital health technologies, real-world evidence, manufacturing systems, and enterprise platforms all contribute to an expanding and increasingly complex data landscape. Yet despite this abundan

Atlas is proud to announce that our Chief Operating Officer, Vicki McColley, has been named one of The Top 25 Women Leaders in Consulting for 2026. This recognition highlights leaders who are shaping the consulting profession through measurable impact, operational excellence, and the ability to guide organizations through complex transformation. At a time when organizations are navigating rapid change across technology, regulation, and global markets, consulting leadership is

Why Life Sciences Leaders Must Put Humans at the Center of Transformation By Rishi Dixit, Head of Strategic Solutions & Innovation, Atlas Life sciences leaders are navigating a period of profound and constant change. Scientific breakthroughs are accelerating. Regulatory expectations continue to evolve. Organizations are scaling globally while being asked to move faster, operate more efficiently, and adopt new and sometimes scary technologies with confidence. If you are leadin

#Leadership #AlumniImpact As we look back on the key leadership moments of 2025, we’re proud to highlight the appointment of Jacqueline A. Cleary ’87 to the University of Scranton’s Board of Trustees. A distinguished alumna of the University, Jacquie’s appointment reflects her longstanding commitment to leadership, mentorship, and service, values that are deeply embedded in Atlas’ mission and culture. Throughout her career, she has championed thoughtful innovation, people-fir

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