Tech transfer remains one of the slowest, most frustrating bottlenecks in life sciences manufacturing, often stretching across half a decade or more. In a recent Qualitalks podcast episode, Qualistery Managing Director Yan Kugel spoke with Emerson VP of Marketing and Experience Nikki Bishop about why these projects stall and what actually helps close the gaps.

Yan and Nikki, who began her career as a process control engineer, unpacked the human, technical, and regulatory forces that make tech transfer so hard and laid out a practical path toward faster, digital-first knowledge transfer.

Why It Matters

Every year a molecule sits in tech transfer is a year patients wait for therapy. Projects that take a decade can fail at the finish line when the market shifts, or a competitor arrives first, wasting years of work. As AI-driven drug discovery produces more and more candidates, the industry has to figure out tech transfers much faster. Getting this right is not a single-company problem; Nikki framed it as an industry-wide opportunity with high stakes for the people at the end of the process.

Key Takeaways

• Tech transfer combines three hard problems at once: human communication, technical logistics, and regulatory compliance. Nikki called it a trifecta of human, technical, and regulatory dynamics.
• The core issue is knowledge capture, not just documentation. Information must be captured in a standardized, translatable way, or meaning gets lost like a childhood game of telephone.
• Moving from paper to digital is one of the highest-impact ways to expedite the process, even though it feels surprising to say that in 2026.
• AI can help at two levels: simple internal enablement (digitizing and summarizing records) and more advanced agentic tools, always with a human in the loop and proper guardrails.
• Just start. Find one thing you can do today to improve the process rather than waiting to overhaul everything.

The Trifecta That Makes Tech Transfer So Hard

Nikki explained that tech transfer represents every challenge in human nature, technology, and regulated work, all wrapped into one. People have to communicate across regions, time zones, and different styles. Teams have to physically or digitally move information, even when one site works on paper, and another has gone digital. And because the environment is regulated, every step needs an audit trail, so decisions can be verified later.

She compared it to sharing a recipe. The person who first made the dish may not remember exactly how they did it or may never have written it down. Multiply that across a thousand touchpoints, where one step was documented, and another was not, where the expert has retired or moved on, and the delays compound quickly.

From Documentation to Standardized Knowledge Capture

Yan asked whether documentation was the main bottleneck. Nikki reframed it. The real challenge, she said, is knowledge capture in a standard way. Information can live on a document, in a digital record, or in a database, but without a shared translation table, what was intended is not always what gets understood downstream.

She stressed that each stage of the process has different needs and context. Manufacturing is very data-driven, where an agitator must run for a set time at a set temperature. Upstream process work needs the same rigor but a different context. Much of what gets missed is the intent behind each step and how to translate it into something the next party can actually use. Designing the previous and next steps in mind, she noted, is not something the industry is used to doing.

Getting Off Paper, Carefully Adding AI

Despite living in a digital age, tech transfer still involves truckloads of paper, manual review, and even documents mailed across borders for signatures. Nikki’s advice was direct: move off paper. She acknowledged the feeling of overwhelm and offered the principle of “go slow to go fast.” There may be a lull while teams digitize and build a system, but it is worth it, and delaying only builds a bigger mountain of paper. Change management, she said, is a huge piece, because “that’s how we’ve always done it” is one of the strongest human forces at play.

AI can support this shift at two levels. Simple internal enablement can scan and interpret records, including older cursive handwriting that younger workers were never trained to read. More advanced agentic tools can act on your behalf. In both cases, Nikki was firm that humans stay in the loop and that data protection, partitioning, and guardrails matter, because at the other end of everything is a human being whose well-being is at stake.

Communication, Standards, and a Path to One-Click Transfer

Nikki returned repeatedly to communication and partnership. She suggested a “chief communicator,” defined by competency rather than title, someone who can see across the whole process and drive change. She also called for industry collaboration through forums such as BioPhorum, INTERPHEX, ISPE, Advanced Therapies Week, and LinkedIn, where manufacturers can agree on shared standards, tools, and templates.

That collaboration underpins her boldest idea: one-click tech transfer. She believes the industry is within five years, maybe sooner, of digitally transferring a process across sites, handling qualifications and specifications, and translating intent into language manufacturing can consume. Even short of that, she expects current tools can cut transfer times in half.

Emerson is working on this through an industry consortium and a solution called DeltaV Tech Transfer Hub, which connects upstream to downstream digitally. Exceptions and human judgment, she added, will always remain part of the process.

Listen to the Full Conversation

Nikki’s closing ask was simple: find one thing you can do today and start there. To hear the full discussion on tech transfer bottlenecks, digital hubs, and the road to one-click transfer, watch the podcast interview here.