Reducing AI costs and introducing compliance at a pharma company
One governed platform over an existing knowledge base — cheaper to run, fully auditable, and faster for the people using it.
Accuracy up,
risk down
Answers grounded in the company's own regulatory knowledge base.Complex information, in every jurisdiction they sell into
Our client develops and launches specialist generic medicines into global markets. The information the business handles daily is inherently complex: detailed medical trial data, and regulatory compliance across multiple jurisdictions.
AI was already working —
but nobody could see it
AI had proven itself indispensable, saving real time on consuming and writing complex documents and assessments. It was also siloed, expensive, and missing the audit trail the pre-AI business ran on.
Siloed by person
Everyone had their own way of working with AI, and none of it was shared.
Costs climbing
Premium models were being used for every task, whether or not they were needed.
No audit trail
In a regulated business, work nobody can evidence is work that cannot be relied on.
Knowledge stuck in prompts
Every answer was limited to the documents attached to it, not everything the company knew.
One platform for every AI interaction
[One or two lines introducing the tool — to be completed]
- One company-wide platformEvery AI interaction runs through one managed place, with access controls and a complete record of who asked what.
- Grounded in the knowledge baseModels draw on everything the company knows — and agents run repeatable territory assessments the same way every time.
- Model-agnostic routingEach task goes to the most cost-effective model that can do it well, and switches as the market moves.
Efficient, auditable
and cheaper to run
Team members reach the judgement calls quickly instead of trawling documents — and AI now surfaces opportunities that were not obvious to the team.
Book a free opportunity review.
A focused conversation about how your business runs and where AI could help — and where it would not.
