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AI Integration: Outsourcing Now and Next with Paulius Ojeras
AI Integration in Clinical Trial Outsourcing: Best Practices for Operational Efficiency and CRO Selection
Learn how AI agents are reshaping clinical study optimization, enhancing quality and scalability in clinical trial outsourcing—and what you need to know for smarter CRO selection and oversight.
Featuring:
- Paulius Ojeras, Head of Clinical Operations, Perceive Biotherapeutics (LinkedIn),
- 18+ years’ experience in biotech and global CRO management; specialist in innovative trial designs, outsourcing strategy, and the operational application of emerging technologies.
This live session, recorded at COG Bay Area, features Paulius Ojeras, Head of Clinical Operations at Perceive Biotherapeutics, as he shares hands-on insights about integrating AI agents into clinical operations and outsourcing models. The discussion is grounded in practical experience, with real examples from Perceive’s studies.
The core theme revolves around how clinical trial outsourcing strategies evolve—and sometimes fundamentally change—when sponsors adopt AI-driven solutions for process automation, team scalability, and quality management. Paulius Ojeras breaks down where AI makes the biggest difference, from TMF (Trial Master File) management to site startup and document QC, offering lessons learned for sponsor teams evaluating new outsourcing approaches.
Key topics include frameworks for CRO selection, managing vendor relationships in an AI-enabled environment, and de-risking operational transitions. The episode emphasizes clinical operations best practices—particularly how to balance technology adoption with oversight, accountability, and regulatory requirements—giving actionable guidance for teams focused on clinical study optimization and sponsor–CRO partnership models.
Key Moments00:02:43 – Why the real question isn’t if AI will disrupt clinical trials, but how smart and fast sponsors will adopt AI solutions
00:05:00 – Breakdown of AI integration levels: from basic automation to autonomous, agentic AI teammates in clinical operations
00:09:47 – Case study: Applying AI agents to TMF management—quality gains and lessons from real deployment at Perceive Biotherapeutics
00:13:43 – AI-driven QC finds up to 25% errors in TMF documentation, challenging norms in clinical trial outsourcing
00:15:13 – Real-time document feedback and task tracking—how automation improves speed and regulatory compliance
00:18:11 – Vendor selection due diligence: key criteria for assessing AI-focused clinical trial outsourcing partners
00:21:31 – Addressing the challenge of outcome consistency: why it’s critical for regulated clinical trials and CRO selection
00:24:38 – Rethinking process design for end-to-end automation, not just adding tools to legacy workflows
00:25:37 – The importance of training internal teams for AI literacy and prompt engineering to maximize value from technology
00:26:31 – Final guardrail: Success depends on thoughtful, disciplined AI adoption—not just speed or hype
Top 3 Takeaways- Prioritize solutions over tools: When evaluating clinical trial outsourcing options, select vendors who offer true operational support (setup, oversight, supervision), not just technology. This is key for effective CRO selection and minimizing added complexity.
- Redesign processes for automation: For clinical operations best practices, rethink workflows to fully leverage AI agents—instead of layering automation on top of manual processes—to drive scalability and quality in study delivery.
- Validate consistency and accountability: In any clinical study optimization strategy, ensure AI-enabled solutions meet regulatory demands for outcome consistency and clear accountability. Always demand testing, independent benchmarks, and a robust oversight framework from vendors.
Links & Resources
The PBC Group: https://thepbcgroup.com
Perceive Biotherapeutics: https://perceivebio.com
Quotes“Clinical operations remain very human-intensive—yet with agentic AI, we can rethink how we execute trials, building scalability and quality into every step.” — Paulius Ojeras
“When assessing emerging vendors, look for live deployments, reference use cases, and financial runway. Don’t buy the hype—buy the solution your team actually needs.” — Paulius Ojeras
“In highly regulated environments, consistency is the hardest challenge for AI. Ask your vendor how they independently verify the outcome of their agents.” — Paulius Ojeras
“Human intelligence is essential to set up and oversee AI teammates—everything else should be designed for autonomous, high-quality delivery.” — Paulius Ojeras
-----------
Further content and agendas: hhttps://thepbcgroup.com
Copyright 2026 The PBC Group
View all episodes
By The PBC GroupAI Integration in Clinical Trial Outsourcing: Best Practices for Operational Efficiency and CRO Selection
Learn how AI agents are reshaping clinical study optimization, enhancing quality and scalability in clinical trial outsourcing—and what you need to know for smarter CRO selection and oversight.
Featuring:
- Paulius Ojeras, Head of Clinical Operations, Perceive Biotherapeutics (LinkedIn),
- 18+ years’ experience in biotech and global CRO management; specialist in innovative trial designs, outsourcing strategy, and the operational application of emerging technologies.
This live session, recorded at COG Bay Area, features Paulius Ojeras, Head of Clinical Operations at Perceive Biotherapeutics, as he shares hands-on insights about integrating AI agents into clinical operations and outsourcing models. The discussion is grounded in practical experience, with real examples from Perceive’s studies.
The core theme revolves around how clinical trial outsourcing strategies evolve—and sometimes fundamentally change—when sponsors adopt AI-driven solutions for process automation, team scalability, and quality management. Paulius Ojeras breaks down where AI makes the biggest difference, from TMF (Trial Master File) management to site startup and document QC, offering lessons learned for sponsor teams evaluating new outsourcing approaches.
Key topics include frameworks for CRO selection, managing vendor relationships in an AI-enabled environment, and de-risking operational transitions. The episode emphasizes clinical operations best practices—particularly how to balance technology adoption with oversight, accountability, and regulatory requirements—giving actionable guidance for teams focused on clinical study optimization and sponsor–CRO partnership models.
Key Moments00:02:43 – Why the real question isn’t if AI will disrupt clinical trials, but how smart and fast sponsors will adopt AI solutions
00:05:00 – Breakdown of AI integration levels: from basic automation to autonomous, agentic AI teammates in clinical operations
00:09:47 – Case study: Applying AI agents to TMF management—quality gains and lessons from real deployment at Perceive Biotherapeutics
00:13:43 – AI-driven QC finds up to 25% errors in TMF documentation, challenging norms in clinical trial outsourcing
00:15:13 – Real-time document feedback and task tracking—how automation improves speed and regulatory compliance
00:18:11 – Vendor selection due diligence: key criteria for assessing AI-focused clinical trial outsourcing partners
00:21:31 – Addressing the challenge of outcome consistency: why it’s critical for regulated clinical trials and CRO selection
00:24:38 – Rethinking process design for end-to-end automation, not just adding tools to legacy workflows
00:25:37 – The importance of training internal teams for AI literacy and prompt engineering to maximize value from technology
00:26:31 – Final guardrail: Success depends on thoughtful, disciplined AI adoption—not just speed or hype
Top 3 Takeaways- Prioritize solutions over tools: When evaluating clinical trial outsourcing options, select vendors who offer true operational support (setup, oversight, supervision), not just technology. This is key for effective CRO selection and minimizing added complexity.
- Redesign processes for automation: For clinical operations best practices, rethink workflows to fully leverage AI agents—instead of layering automation on top of manual processes—to drive scalability and quality in study delivery.
- Validate consistency and accountability: In any clinical study optimization strategy, ensure AI-enabled solutions meet regulatory demands for outcome consistency and clear accountability. Always demand testing, independent benchmarks, and a robust oversight framework from vendors.
Links & Resources
The PBC Group: https://thepbcgroup.com
Perceive Biotherapeutics: https://perceivebio.com
Quotes“Clinical operations remain very human-intensive—yet with agentic AI, we can rethink how we execute trials, building scalability and quality into every step.” — Paulius Ojeras
“When assessing emerging vendors, look for live deployments, reference use cases, and financial runway. Don’t buy the hype—buy the solution your team actually needs.” — Paulius Ojeras
“In highly regulated environments, consistency is the hardest challenge for AI. Ask your vendor how they independently verify the outcome of their agents.” — Paulius Ojeras
“Human intelligence is essential to set up and oversee AI teammates—everything else should be designed for autonomous, high-quality delivery.” — Paulius Ojeras
-----------
Further content and agendas: hhttps://thepbcgroup.com
Copyright 2026 The PBC Group