For pharma teams that already know AI is inevitable.
Thetrainhasalreadyleftthestation.
The companies extracting real value from AI don't have bigger budgets. They have a concrete first step. We build that step — with a 6-week rollout.
No commitment. No sales deck. Just context and next steps.
WHAT WE HEAR EVERY DAY
Sound familiar?
Commercial Excellence · Marketing
“We already have an AI tool. But nobody uses it the same way, the outputs are inconsistent, and nobody trusts the results.”
Medical Affairs · Regulatory
“Our MSL spends 40% of their time preparing materials that could be generated in minutes. But we don't know how to do it safely and compliantly.”
BI & Data · Strategy
“We have the data. What's missing is the layer that makes it actionable for decision-makers — without always depending on us.”
If you recognized at least one of these scenarios, the diagnosis takes 20 minutes.
USE CASES IN PHARMA
We don't sell AI.
We solve specific problems.
Automatic synthesis of medical literature, MSL briefings, Q&A on internal guidelines.
Content approval workflows, automated reporting, data extraction from PDFs and CRFs.
Field material generation adapted to HCP profile, localization and regulatory adaptation.
Implementation with sensitive data, GDPR and pharmaceutical sector regulatory requirements.
Simple by design.
In operation in six weeks.
Three focused stages to build, test and launch your workflow. Then ongoing monitoring and performance reporting. Timing is adjusted to the scope and integrations.
- 01
DISCOVERY
— 2 weeks · Weeks 1–2We work with your team to understand the process, the tools you use and the decisions that need human input.
Together we define the scope, priorities and how success will be measured.
- 02
IMPLEMENTATION & CONFIGURATION
— 2 weeks · Weeks 3–4We build the agreed workflow, connect the relevant systems and configure the agents around your team's rules.
A working solution, ready for testing in your context.
- 03
VALIDATION & GO LIVE
— 2 weeks · Weeks 5–6Your team tests the solution with representative cases. We resolve issues, confirm the review points and support the move into daily use.
A validated workflow and a team prepared to use it.
- 04
ONGOING
— From week 7We monitor the workflow in use, track the agreed metrics and report on performance. The findings guide adjustments and improvements.
Monitoring and performance reporting.
Tracked: time saved · volume processed · response time
"We've seen what happens when pharma teams adopt AI without structure. And what happens when they adopt it with it."
kureus is a consultancy specialized in AI for organizations that deal with sensitive information and regulated processes.
We work with Medical Affairs, Commercial Excellence, BI and Marketing teams — in contexts where security and compliance are not optional.
We don't sell software. We build solutions that work in the field, with the right tools for the right context.
What sets us apart
SECTOR SPECIALIZATION
We don't do generic AI. We work with pharma, health, and industry teams — where data is sensitive and compliance is non-negotiable.
REAL SPEED
From discovery to go-live in a structured 6-week rollout. No months of consulting before seeing any results.
ROI BEFORE SCALE
We don't ask for platform investment. The pilot costs a fraction — and proves the case before any larger commitment.
Frequently Asked Questions
What pharma teams ask us.
Our indicative rollout takes 6 weeks: weeks 1–2 for discovery and workflow mapping, weeks 3–4 for implementation and configuration, and weeks 5–6 for validation and go-live. Ongoing monitoring and performance reporting start from week 7. Timing depends on scope and integrations. Most pharma AI projects fail because they try to boil the ocean — we start with one high-impact process and prove ROI before scaling.
Yes. All kureus systems are GDPR-compliant by design. We offer on-premise deployment for sensitive patient data, meaning data never leaves your infrastructure. Our systems integrate with existing EHR, CTMS, and EDMS platforms through secure APIs. We follow EMA and INFARMED guidelines for data handling in pharmaceutical contexts.
ChatGPT and Copilot are general-purpose tools. They don't understand pharma regulatory requirements, can hallucinate clinical data, and have no audit trail. kureus builds multi-agent systems — specialized AI agents that work together, each handling a specific part of the workflow (e.g., one agent retrieves literature, another validates against SOPs, a third generates the output). Every output is traceable, compliant, and validated against your internal guidelines.
Pricing depends on project complexity, the workflows involved, integrations, data requirements and the level of support. After discovery, we provide a scoped proposal. Use the simulator below to explore the potential value of time released; we validate the assumptions together before building the business case.
VALUE SIMULATOR
What could your team gain from automation?
Adjust assumptions
ESTIMATED BUSINESS CASE
Annual cost of the selected manual work
€195,840
Potential annual capacity value
€74,419
Scenario: 38% less time on the selected work, over 48 working weeks. This estimates the value of time released, not a guaranteed cash saving.
Calculation: people × hours per person/week × hourly cost × working weeks. Potential value = annual manual cost × assumed time reduction. The default 38% is an editable illustration, not a benchmark. Project, software, maintenance and adoption costs are excluded; this is not a net ROI calculation.
Based on our analysis, the 3 highest-ROI departments are: (1) Medical Information — where AI can handle 70% of routine HCP queries automatically, freeing MSLs for strategic engagement. (2) Regulatory Affairs — where document cross-referencing, variation tracking, and submission preparation consume 50%+ of team time. (3) Pharmacovigilance — where adverse event case processing is highly structured and ideal for AI-assisted automation. Sales and Marketing follow closely, especially for content localization and HCP profiling.
We're based in Portugal and have deep expertise in Portuguese regulatory reality (INFARMED, SNS integration). However, our systems are built for European pharma compliance broadly — GDPR, EMA guidelines, and EU regulatory frameworks. We work with pharma companies operating in Portugal and across the EU.
Let's see if it makes sense
A 20-minute conversation is enough to understand if we have a solution for your context.