AI Awareness
Know the rules
- Realistic capabilities
- Where AI goes wrong
- Recognising risk
Leading AI transformation in life sciences
AI training built for how life sciences actually works. Know the rules. Use it safely. Make it count.
The three training tracks
Three tracks, each solving a different problem. Take one, or run them in sequence as your team moves from first questions to daily practice.
AI Awareness
AI Awareness Know the rules
“Wait! Are we even allowed to use this?”
Most teams have never been told what AI can actually do, so AI-generated answers get treated as fact. In life sciences, that's a real risk: nearly two-thirds of AI-generated citations in research literature reviews turn out to be fabricated or inaccurate. That kind of error doesn't stay in a chat window, it ends up in a report or a submission draft. And since February 2025, EU law has required staff to understand these risks, with penalties reaching €15 million for organisations that don't.
What we cover
- What current models actually do, and what they only appear to do
- The common failure modes: fabrication, confident wrong answers, and plausible-but-invented sources
- Where AI error does real damage, from literature review to submission draft
- The EU AI Act literacy duty, and what it asks of employers
What your team will be able to do
- Explain in plain terms what AI can and cannot do
- Recognise the failure modes in real output
- Judge when a task has crossed into risk territory
- Show the documentation that proves the training took place
Your team leaves with a shared, realistic picture of AI, and you hold documented AI literacy training, required across the EU since February 2025.
Curious where your team stands?
AI Literacy
AI Literacy Use it safely
“What do you mean I cannot just ask ChatGPT for this?”
Your team is already prompting, choosing tools, and trusting what comes back. Not consistently. Not safely. AI can fabricate a convincing clinical dataset of hundreds of patients in minutes, and to an untrained eye it looks entirely legitimate.² The real risk isn't that your team uses AI; it's that they use it without knowing which tool to trust, how to verify what comes back, or how to document what AI actually contributed.
Use it safely.
- Prompting fundamentals: what makes output reliable rather than merely fluent
- Tool choice: general assistants, approved enterprise tools, specialist life-sciences AI
- Verification before output reaches a document or a decision
- Data handling: what may go into which tool
- Recording what AI contributed
Learning objectives
- Write prompts that produce output the team can rely on
- Choose the right tool for a task and say why
- Verify AI output before it travels
- Handle clinical, patient and unpublished data without defaulting to public tools
- Document AI contribution in a form QA or a regulator will accept
Your team leaves using AI on real work, with verification and documentation built into the routine.
Get ready to use AI in daily use. Just reach out to us here.
AI Performance
AI Performance Make it count
“I still don’t understand why we have to use this?”
Across pharma and life sciences, access to AI tools isn't really the bottleneck; usage is. Even where tools are company-approved, only around 10% of employees use them weekly, and access is typically limited to about a third of any department.³ A couple of people quietly pull ahead while the rest never really start.
Make it count.
- Choosing a recurring workflow worth redesigning
- Redesigning around AI rather than bolting AI on
- Building a shared prompt library the team maintains
- KPIs that make time and quality gains visible
Learning objectives
- Identify which recurring workflows justify the redesign
- Rebuild one workflow end-to-end with AI in it
- Set up and maintain a shared prompt library
- Define KPIs that make the gain reportable
Your team leaves with one workflow measurably faster, and the practice shared, not locked in two people's heads.
Curious how much of your team's AI use will never scale? Book an introduction call here.
Choosing the right format
BioGuild organises courses in different formats, all to the highest quality standards. Open courses are regularly announced and open for individual enrollment. Private courses are typically delivered in-house. With returning clients, we also organise ongoing programs for continuous learning experiences.
Open course for individuals
For professionals who need to skill up now. Send your team members to one of our open courses on the most pressing and trending topics.
Private course for your team
For a team with a shared knowledge gap. We run a course just for your people, tailored as much as you need, from our proven programs to something built from scratch.
Ongoing program
A long-term partnership that keeps your team ahead as the science, technology, and regulation shift.
Whether you're sending one person or transforming a department, we have a format that fits.
What your team walks away with
Training is only worth buying if something changes afterwards. Whichever track you choose, these are the things your team takes back into the work, and we train on the tools your organisation already uses, so nothing here depends on buying new software.
Operate compliantly
Be ready before the auditor arrives. Your team knows what's required, what's permitted, and what to document; evidence ready before anyone asks.
One shared standard
No more workarounds or two people quietly pulling ahead while the rest fall behind. Everyone leaves with shared knowledge they can use the next day.
Faster work, visible gains
AI is redesigned into a real workflow, not bolted on, so the time and quality gains are measurable and reportable.
Built for life sciences
Our trainers come from biochemistry, regulated environments, and life-sciences consulting. They know your domain and your compliance reality.
We work with the tools you already use.
Whichever track fits your team today, you'll leave using AI with confidence.
Your trainers
Rizgar Saltik, MScIn-house trainer BioGuild
Rizgar has spent fifteen years in life sciences consultancy, guiding companies through digital transformation and operational challenges, watching first-hand how AI has reshaped the industry. As operations director at a major life sciences consultancy, he has implemented AI projects with Claude, ChatGPT and Copilot. He teaches from what he has built, not from the manual: participants leave knowing what these tools do in a real organisation, and what it takes to make them stick.
Sven Joziasse, MScIn-house trainer BioGuild
Sven has trained and coached life sciences teams on AI decision-making, moving them from uncertainty to confident, compliant daily use. With a background in chemistry and business consulting, he understands both the science and the commercial pressure his participants work under. He doesn't teach AI in theory: teams leave knowing which tools to trust, when not to trust them, and how to document what AI contributed, so the answer is ready before the auditor asks.
Ready to upskill your team?
Tell us what your team needs and we'll suggest the right track and format.
Sven Joziasse
In-house trainer BioGuild
- team@bioguild.org
- Nicolaas Beetsstraat 216-222, 3511 HG Utrecht