This LinkedIn Live conversation with John Raech, Co-Founder and President of Pharma Resource Group (PRG), was discussion with xLM, as we explored how next generation API manufacturing is being designed from the ground up in the United States.

PRG is building a state-of-the-art API facility in Pennsylvania, purpose-built for continuous flow chemistry and advanced manufacturing. The site is being developed to qualify under the FDA’s Emerging Technology Program (ETP) positioning PRG at the forefront of resilient, high-assurance, U.S.-based API supply.

In this live session, John shared how PRG is rethinking traditional API production through modular flow chemistry, continuous processes, and an end-to-end digital factory vision. The discussion examined how advanced analytics, AI/ML-driven process control, and real-time quality intelligence can fundamentally change how APIs are designed, transferred, released, and regulated.

xLM outlined how its Continuous Intelligence and GxP-ready AI platform supports PRG’s journey toward a paperless, fully digitized, and validation-ready operation, spanning process design, tech transfer, batch release, and ongoing regulatory compliance.

Practical insights on:

1️⃣Architecting an FDA-aligned digital factory from dayone

2️⃣Leveraging the FDA Emerging Technology Program (ETP)to de-risk innovation

3️⃣Applying continuous flow and real-time quality inregulated API manufacturing

4️⃣Using AI and advanced analytics while maintaining GxP and validation rigor

5️⃣Building competitive advantage through speed, quality, and regulatory confidence

If you’re involved in manufacturing, process development, quality, digital transformation, or regulatory strategy, this conversation offers real-world lessons on how continuous manufacturing and digital intelligence are converging to shape the future of pharma production.

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This event is sponsored by ContinuousTV.

https://www.youtube.com/@xlmcontinuoustv

https://continuoustv.beehiiv.com/

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You can reach:

John Raech @ https://www.linkedin.com/in/johnraech/

Nagesh Nama @ https://www.linkedin.com/in/nageshnama/

Join us for an unscripted LinkedIn Live podcast hosted by xLM Continuous Intelligence in conversation with Mr. Bob Buhlmann, a seasoned pharma leader with experience from consulting to senior roles at Amgen, now Head of Quality, Digital and Computer Strategy at AstraZeneca.

This live discussion explores how AI is applied in GxP-regulated manufacturing environments, drawing on global operations experience. Mr. Buhlmann offers a regulatory perspective, having engaged with global health authorities including the FDA (USA), EMA (EuroZone), MHRA (UK), MPA (Sweden), NMPA (China), while overseeing AIadoption across IT and manufacturing.

Expect an open, no-slides conversation on:

• How health authorities view AI in regulated manufacturing

• What actually works (and what doesn’t) when deploying AI in GxP systems

• Moving from theoretical compliance to operational impact

• How Big Pharma is taking strides across their global operations

If you’re navigating AI adoption in pharma manufacturing, quality, or compliance, this conversation is for you.

Note: All views expressed in this podcast are the views of Mr. Bob Buhlmann and DO NOT represent the views of AstraZeneca.

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Nagesh Nama's thought leadership articles on Forbes & Fast Company

1️⃣https://www.fastcompany.com/91475687/...

2️⃣https://www.forbes.com/councils/forbe...

3️⃣https://www.forbes.com/councils/forbe...

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xLM Coordinates

✅Website: https://www.continuousintelligence.ai/

✅LinkedIn: https://www.linkedin.com/company/xlm-llc

✅Spotify: https://spoti.fi/3ERya62

✅Beehiiv: https://continuoustv.beehiiv.com/

✅YouTube: https://www.youtube.com/@xLMContinuousTV

Continuous Intelligent Validation (cIV) simplifies and automates GxP-compliant software validation using cutting-edge AI. Built on advanced AI models, cIV helps teams accelerate validation while improving consistency and inspection readiness.

With cIV, you can:

1️⃣Convert existing knowledge (e.g., manuals and specifications) into structured, GxP-compliant User Requirements Specifications (URS).

2️⃣Generate comprehensive, traceable test cases from the URS using retrieval-augmented generation (RAG) to support robust coverage and auditability.

3️⃣Execute tests via autonomous agents that validate requirements, capture audit trails, and produce traceable evidence—including screenshots and logs.

Why cIV:

💥Structured compliance: Automatically generate URS and test cases tailored to GxP standards.

💥Efficient execution: Automate test runs with validation and traceable evidence.

💥Centralized monitoring: Manage tasks and review outcomes through an integrated dashboard.

💥Scalability: Adapt to change with a flexible architecture and self-healing capability as software evolves.

Learn more: https://www.continuousintelligence.ai/service/continuous-intelligent-validation-civ