Before you give AI agents the keys, decide the rules.Artificial intelligence is already at work inside pharmaceutical companies. The real question is no longer whether it works. It is whether you can give it meaningful responsibility without losing control.Rules Before Keys is a practical field guide for senior pharma leaders who must move AI from scattered pilots to governed, scalable workflows. It shows how to classify AI systems by consequence, define what they may and may not do, validate the whole workflow rather than the model alone, and create the evidence trail needed for budgets, audits and inspections.Who should read this bookManufacturing and Technical Operations leaders who need to choose the right first workflows and separate critical deterministic decisions from generative language tasks.Quality leaders who want AI to assemble evidence faster while preserving attribution, traceability and investigator judgment.Regulatory Operations leaders who need faster drafting, translation and consistency checks without losing source integrity or submission control.Supply Chain leaders who want bounded automation, better shortage response and clearer escalation before local optimisation creates global pain.Digital, Data and AI leaders in regulated operations who must build the register, governance model and autonomy budget that make AI scalable.If you are responsible for deciding what AI may do, what must remain human, and how to prove value without compromising control, this book was written for you.
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