The Innovation Readiness Index

A structured diagnostic that shows where your organization stands on the path to AI-driven innovation – benchmarked against industry peers.

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Why this matters now

5M+

scientific papers published annually – and growing. Finding the signal in the noise is no longer a search problem, it’s a systems and infrastructure problem.

Only 26%

of leaders are confident that their data can support AI-enabled outcomes. For most organizations, the gap between AI ambition and AI readiness is wider than it looks.

200+

of data breaches have been traced back to shadow AI — employees using unsanctioned tools outside IT oversight. Ungoverned AI isn’t a future risk, it’s already inside your workflows.

Five dimensions of innovation readiness

The index assesses your organization across five interconnected pillars.

Trust

Can you stand behind every insights – and trace it back to its source?

Outcomes

Are your evidence and data actually driving decisions, impact and measurable value?

Governance

If challenged today, could you prove how decisions were made – and that they are compliant?

Flow

How quickly can you turn new information into action – without friction or rework?

AI readiness

Is your AI trusted, explainable and responsibly embedded in real decisions – not just pilots?

Choose your track

The index is tailored to your function, with questions, benchmarks and outputs specific to your role.

From publication activity to scientific influence & patient outcomes

The Medical Affairs track examines how well your team turns evidence into measurable stakeholder impact, and how protected you are from governance and AI risk in the process.

Are your publications reaching KOLs, HCPs and guideline committees — with evidence beyond download counts?
Do you measure and benchmark share of scientific voice against competitors?
When AI assists with literature review or communications, is the output source-traceable and disclosed?
How quickly can you respond when a competitor publication gains a disproportionate scientific voice?

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From fragmented evidence to confident pipeline decisions

The R&D track assesses how well your data and evidence infrastructure supports faster, better-evidenced decisions — from target identification through to clinical development.

Can you trace and justify the full body of evidence behind a target or biomarker decision?
How much manual effort is required to assemble evidence packages at key decision gates?
If a critical study is retracted or contradicted, do you have a defined escalation and review process?
Are your AI models used in discovery aligned with FDA or EMA good AI practice principles?

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illustration of hand reaching toward drug capsule with screens in the background

From disconnected systems to trusted, AI-ready data foundations

The Data & IT track focuses on lineage, interoperability, AI grounding and enterprise resilience, and helps you build the business case for foundational data investment.

Can you trace any dataset used in analytics or AI back to its original source and transformation history?
How many point-to-point integrations is your architecture carrying — and is there a plan to reduce fragility?
Can your AI systems retrieve governed, contextualised knowledge rather than relying on generic training data?
How are AI-related risks – including data exposure, bias and compliance – managed at an enterprise level?

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Low effort. High value.

Step 1

Discover

A 60-min guided conversation with a Digital Science expert. No preparation, no homework. We ask the questions.

Step 2

Benchmark

We score your responses against our proprietary peer index of top global life sciences organizations.

Step 3

Briefing

An 30-min executive-level readout: your scores, peer benchmarks, gap analysis and prioritised recommendations.

Your Innovation Readiness Report

Personalised score report

Your 1–5 scores across all five pillars, benchmarked against peer organizations in your function and sector.

Gap analysis

Immediate identification of the capability gaps most likely to create risk or slow your organization down.

Strategic priorities

Data-backed talking points to help you build internal buy-in for the investments that matter most.

Peer benchmarks

Anonymised comparison data from top global life sciences organizations – so you know exactly where you stand, and what leading looks like.

Book your session

Sessions are available on a limited basis during our benchmark program.

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