NNIT

Who is accountable when AI does more of the work? As AI takes on more in regulated processes, someone still has to decide which tasks and decisions can be delegated, under what conditions, and with what oversight. NNIT’s AI Governance Lead Emma Skovsted-Andersen and Chief AI Officer Sam Laermans are joined by Anthropic to work through what must be in place before AI is given more responsibility. Save your spot today and receive the recording if you cannot attend live.

An AI tool that adds another review step can create more work than it removes. In this webinar, NNIT and Anthropic look at what AI really saves once review and integration are counted. You get a concrete view of where AI frees up capacity for the work that needs people, and where it quietly adds more checking. Save your spot today and receive the recording if you cannot attend live.

Scaling AI in life sciences takes more than better models. It takes a different way of working. In this one-hour webinar, NNIT and Anthropic tackle four questions: ✅ Which workflows are worth redesigning, and which just produce more output? ✅ What does AI really save once review and integration are counted? ✅ What must be in place before AI is given more responsibility? ✅ Who is accountable when AI does more of the work? Save your spot today and receive the recording if you cannot attend live.

Can AI-generated documentation hold up under regulatory scrutiny? In a fireside chat with Anthropic, we start from a real document-authoring use case and look at where AI speeds up the work, where it quietly adds review burden, and which design principles make the difference. Nadir Mohamed from Anthropic’s Applied AI team also shares how Anthropic is approaching the field with Claude for Life Sciences. Save your spot today and receive the recording if you cannot attend live.

Hear from Anthropic’s Applied AI team on what they see when Claude is put to work on demanding scientific tasks. Join our webinar with: ✅ Nadir Mohamed, Applied AI team, Anthropic ✅ Sam Laermans, Chief AI Officer, NNIT ✅ Emma Skovsted-Andersen, AI Governance Lead, NNIT Together they get practical about what has to change for AI to deliver value in regulated work, from document authoring to quality loops. Save your spot today and receive the recording if you cannot attend live.

AI writes the first draft in minutes. So why isn’t the work finished any faster? In regulated industries, the gains disappear when experts spend longer checking AI output, or when it lands in a process built for the old way of working. The value comes from changing how the work is done, reviewed and owned. Join NNIT and Anthropic for a one-hour webinar on what actually has to change to scale AI in life sciences. Save your spot today and receive the recording if you cannot attend live.