Discovery workflow readiness
Define the target or portfolio decision, source corpus, scientific reviewers, known failure modes, and evidence needed for a useful pilot.
Request this guideResource centre
Practical guidance for a responsible first workflow.
Use these planning guides to frame a decision, evidence boundary, risk profile, evaluation, and operating owner before technology enters the discussion.
Planning guides
A better first conversation starts with the right questions.
These concise guides summarise the information needed to assess a use case. We can turn any of them into a workshop worksheet for your team.
Clinical evidence assistant
Clarify protocol, CSR, label, safety, and real-world evidence sources; define what must be cited and where expert review is required.
Request this guideControlled quality knowledge
Identify approved SOP and record sources, revision controls, investigation use cases, access roles, and required approval evidence.
Request this guideSafe support assistant
Map approved education, sensitive topics, emergency escalation, human handoff, language and accessibility needs, and quality review.
Request this guideTask-specific evaluation plan
Turn expert expectations, past failures, and risk scenarios into grounded test cases, acceptance measures, and review procedures.
Request this guideAI use-case assessment
Document intended use, excluded uses, users, decisions, data, deployment, accountable owners, monitoring, change, and retirement.
Request this guideScoping workshop
One page to expose the important unknowns.
A focused workshop can turn a broad AI idea into a decision, evidence boundary, risk assessment, and measurable pilot proposal.
Request a workshop- 01
Decision & users
Who makes the decision, what triggers it, and what happens today?
- 02
Evidence & data
Which sources are authoritative, permitted, current, and missing?
- 03
Risk & boundaries
What could be harmful, out of scope, sensitive, or required to escalate?
- 04
Success & controls
How will usefulness, quality, review burden, and operational safety be measured?
Frequently asked questions
What teams ask before starting.
Are these downloadable reports or completed case studies?
No. These are planning summaries. We avoid presenting unverified outcomes or case studies as evidence. Requested guides can be discussed and tailored to your actual use case.
Can you provide a generic pharmaceutical AI blueprint?
We can share a general pattern, but the useful design depends on the decision, evidence, data sensitivity, user workflow, and applicable controls. A generic blueprint can hide the most important requirements.
What information should we avoid sending?
Do not send patient-identifiable information, credentials, secrets, export-controlled material, or unnecessary proprietary data. Agree an approved channel and controls before sharing sensitive content.
Do you offer training or workshops?
Workshops and team enablement can be discussed as part of an engagement. The right content depends on the users, workflow, governance model, and operating responsibilities.
How do we begin a due-diligence review?
Start with the intended use, data categories, deployment boundary, user roles, quality requirements, security controls, evaluation needs, and decision rights. We can then scope the appropriate evidence.
Turn a resource into a plan
Request a worksheet for your specific workflow.
Share the decision, users, evidence, and constraints. We will help identify the first useful questions.