Case Study
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Life Sciences
Research and Development
R&D teams with breakthrough science watch their discoveries get trapped in slow trial timelines, inaccurate feasibility assessments, and suboptimal site selection. Siloed decision-making and fragmented data infrastructure create the operational inefficiency that kills innovation productivity and leads to missed opportunities.
Acquis future-proofs R&D by designing agile, insight-driven operating models powered by AI and data integration. We deliver accelerated timelines and smarter decision-making that transform high R&D spend into measurable ROI.
Traditional R&D processes can't keep pace with modern development demands
R&D organizations face mounting pressure to accelerate innovation while managing increasing complexity. Legacy systems, manual workflows, and siloed decision-making create operational bottlenecks that turn promising science into prolonged development cycles with uncertain outcomes.
Fragmented R&D operations waste time and resources
Most organizations approach R&D challenges with disconnected solutions — addressing slow trials with more oversight, tackling data silos with additional systems, or improving site selection through manual processes. This fragmented approach creates coordination gaps and prevents R&D teams from achieving the productivity gains that modern development demands.
Integrated R&D capabilities that deliver innovation readiness
Acquis helps you future-proof R&D by building operations that leverage AI, integrate data systems, and optimize workflows. We create connected R&D capabilities that transform fragmented processes into streamlined operations, delivering the innovation productivity and measurable ROI that competitive development requires.
AI-enabled R&D solutions for accelerated development
We turn breakthrough science into competitive advantage.
AI and workflow transformation
We integrate AI solutions specifically designed for R&D environments to automate routine processes and accelerate trial execution. Our R&D-focused AI implementations handle feasibility assessments, protocol optimization, and data analysis while your teams focus on scientific decision-making and regulatory strategy.
Innovation partner ecosystem development
We help organizations build strategic partnerships that expand R&D capabilities without losing control. We design partnership frameworks, vendor selection criteria, and governance structures that give you access to external innovation while protecting your competitive position.
R&D data pipelines and insight hub strategy
We connect fragmented R&D systems so you can see trial performance, resource utilization, and development timelines in real-time.
R&D operating model redesign
We redesign R&D organizations to accelerate decision-making and optimize resource allocation. We clarify roles, streamline approval processes, and create coordination mechanisms that let R&D teams move faster without compromising scientific quality.
ROI tracking for innovation initiatives
We build ROI measurement capabilities that give R&D leaders concrete proof their innovation investments deliver business results. Our tracking systems connect R&D spending to trial outcomes, regulatory milestones, and business value so you can justify continued investment.
Site, country, and investigator performance optimization
We optimize site selection, country prioritization, and investigator performance to maximize trial efficiency and data quality. Our performance optimization reduces trial timelines, improves recruitment success, and strengthens regulatory submissions through better execution.
Trial feasibility and protocol forecasting
We improve trial feasibility assessments so you can predict recruitment timelines and site performance more accurately. Better forecasting reduces development risk and prevents the delays that come from overestimating site capabilities.
Vendor governance
We establish vendor relationships that accelerate development. We design vendor selection processes, performance standards, and governance frameworks that maximize supplier value while minimizing management overhead.
What makes our approach different
1.
R&D teams with clinical trial and innovation systems experience
Our teams combine consulting expertise with hands-on experience in trial management, feasibility assessment, and R&D data systems. We understand the operational realities that make or break R&D productivity.
2.
AI implementation designed specifically for R&D environments
We implement R&D-specific AI solutions that enhance scientific decision-making while maintaining the regulatory compliance and data integrity essential to successful development programs.
3.
Innovation productivity that connects R&D to business outcomes
We connect R&D activities to measurable business outcomes. Our solutions optimize both scientific excellence and business value, ensuring R&D improvements translate into organizational performance gains.
Featured insights
ArticleAI in Clinical Trials: New Frontiers
The clinical trial landscape is changing, driven by AI technologies that redefine what’s possible in therapeutic development. This revolution extends far beyond simple efficiency gains — AI fundamentally alters how trials are designed, conducted, monitored, and evaluated. Organizations that understand these shifts gain strategic advantages in speed-to-market, research quality, and patient-centricity.
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ArticleResource Management for Clinical Operations
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ArticleAcquis Spotlight Series: Precision Medicine in South Africa
Precision medicine, or personalized medicine, has moved from niche to mainstream. Companies continue to place larger bets on its transformative impact to create unprecedented patient outcomes. While precision medicine offers significant market opportunities, the traditional models for drug development no longer apply, creating new complexities. Precision medicine requires more nuanced clinical trial designs, complex data infrastructure, and novel market access strategies due to its highly targeted therapies and smaller patient populations.
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Article
AI in Clinical Trials: New Frontiers
The clinical trial landscape is changing, driven by AI technologies that redefine what’s possible in therapeutic development. This revolution extends far beyond simple efficiency gains — AI fundamentally alters how trials are designed, conducted, monitored, and evaluated. Organizations that understand these shifts gain strategic advantages in speed-to-market, research quality, and patient-centricity.
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Article
Resource Management for Clinical Operations
To meet the demands of today’s trials, organizations need more than decentralized headcount tracking. They need a centralized, analytics-enabled resource management capability — one that provides full transparency into bandwidth, talent allocation, and strategic priorities across functions.
Read More
Article
Acquis Spotlight Series: Precision Medicine in South Africa
Precision medicine, or personalized medicine, has moved from niche to mainstream. Companies continue to place larger bets on its transformative impact to create unprecedented patient outcomes. While precision medicine offers significant market opportunities, the traditional models for drug development no longer apply, creating new complexities. Precision medicine requires more nuanced clinical trial designs, complex data infrastructure, and novel market access strategies due to its highly targeted therapies and smaller patient populations.
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FAQs
Can AI really improve R&D without compromising scientific quality?
AI enhances R&D by automating routine tasks and providing data-driven insights for better decision-making. Our approach maintains scientific standards while accelerating processes that don't require human scientific judgment, improving efficiency without compromising research integrity
How do you address the challenge of integrating AI into legacy R&D systems?
We design AI integration that works with existing R&D infrastructure while building capabilities for future technology adoption. Our approach focuses on practical implementation that delivers immediate value while creating foundations for continued innovation system evolution.
How do you measure the success of R&D transformation initiatives?
We track both operational metrics like trial timelines and recruitment rates alongside business outcomes including development costs, innovation ROI, and regulatory success rates. The key is connecting R&D improvements to measurable business value while maintaining scientific quality.
What makes R&D transformation different from other organizational changes?
R&D transformation must balance innovation speed with scientific rigor and regulatory compliance. Success requires understanding research culture, maintaining data integrity, and ensuring changes enhance rather than compromise the scientific excellence that defines successful development.
Why do R&D transformations often fail to deliver expected results?
Most R&D transformations focus on individual processes rather than connecting the entire innovation system. Success requires integrating technology, people, and processes while maintaining the scientific rigor essential to regulatory approval and patient safety.
Ready to get started?
Get in touch with the Acquis team to start future-proofing your R&D