Realis AI Value Accelerator for Life Sciences

Your research, clinical, and commercial teams are already using AI. The question is how much value it is returning against your programs, and what is holding the rest back.

Discovery and translational teams summarize literature in Claude, clinical operations draft study documentation in Copilot, medical affairs and commercial teams work through content in ChatGPT and Gemini. What leadership usually cannot say is where that adoption is compressing timelines and lifting scientific productivity, where it is simply activity, and where study data, intellectual property, or pre-publication material is moving through tools nobody inventoried. The wins that do exist stay stuck in one function or on one program.

The AI Value Accelerator scores your organization across six dimensions and hands you a prioritized path to capture more value, with the exposure that would undercut it accounted for. Fixed scope, 1.5 days, scored posture in hand by the end of the week. The engagement is an organizational advisory assessment of how AI is used and governed. It is not computer system validation, a quality system audit, or a regulatory submission review.

What you get

• AI Readiness Scorecard - The hero deliverable. Scored red/yellow/green across six dimensions: value capture, usage, workforce, policy, data exposure, and vendor risk. A one-page posture you can put in front of a board, a partner, an insurer, or an investor.
• Priority Action Brief - Your top three to five moves ranked by value gained per unit of effort. Things to do this week, not a 90-day roadmap, with owner suggestions and effort estimates.
• AI Usage Map - A visual of which tools research, clinical operations, quality, medical affairs, and commercial teams are actually using, where they are driving real value, what study data and intellectual property flows through them, and where the exposure points are.
• Path Forward Brief - An honest one-page read on where you stand, where the next increment of value is, and what makes sense next: an engagement, something you handle in-house, or you are on track and here is what to maintain.

How it works

I. Pre-Engagement Questionnaire - Completed asynchronously before the engagement day, so principal time goes to evaluation rather than information gathering. Interviews are scheduled with three to five stakeholders.

II. Discovery and Interviews - A full day: three to five structured stakeholder interviews of 30 minutes each, tool and usage inventory analysis, and identification of your top exposure points, following a codified framework rather than free-form conversation.

III. Scoring and Evaluation - Each of the six dimensions is scored red/yellow/green against a proprietary rubric. The Usage Map is drafted and exposures ranked.

IV. Reporting and Briefing - A half day to finalize all four deliverables, closing with a 30-minute delivery briefing with your leadership.

Who this is for

• CEOs, COOs, CIOs, chief digital officers, and heads of R&D or clinical operations asked to show what AI is returning
• Pharmaceutical, biotech, medical device, CRO, and CDMO organizations whose teams use AI daily with no view of the return and no policy or usage inventory behind it
• Organizations where AI upside in research and documentation work is real and study data and intellectual property raise the stakes
• Lean IT teams supporting scientific and clinical functions, fielding AI demand they cannot evaluate or scale on their own
• Organizations answering AI questions from a board, a development partner, an insurance carrier, or an investor

Engagement details

• Format: Organization-wide AI value and readiness assessment
• Duration: 1.5 days, fixed scope
• Participants: Three to five stakeholders, 30 minutes each
• Scope: Advisory assessment of governance, tools, and data flows
• Follow-up: Full deliverable package plus a 30-minute briefing
• Next step: Contact Realis to confirm fit and scope. Professional services transact through a private offer.

What this does not include

• Policy writing, implementation, or a full governance roadmap. The assessment tells you whether you need one.
• Tool-by-tool vendor evaluation or development-process assessment
• Ongoing monitoring, retainer advisory, or adversarial testing

AWS products supported

• Amazon Bedrock
• Amazon Bedrock AgentCore
• Amazon Bedrock Guardrails
• Amazon Nova
• AWS Audit Manager
• AWS Well-Architected
• Kiro

About Realis Solutions Group

Realis is a senior-only advisory firm at the intersection of artificial intelligence, emerging technology, and enterprise risk. Our advisors have built governance frameworks that hold, across 72% of the Fortune 100 and dozens of public-sector organizations. Every engagement is principal-led by operators who have held the roles your team is navigating.