How we work

Healthcare organizations face growing expectations to deliver seamless experiences across every customer touchpoint. 98% of pharma executives say that omnichannel is a top priority but many organizations still struggle with fragmented journeys and data that doesn’t translate into action. We help teams connect the dots by mapping key journey moments, unifying data into holistic customer views, and deploying AI-driven Next Best Actions – creating engagement that feels relevant, builds trust, and ultimately improves outcomes through better informed providers.

Health organizations invest heavily in content creation, but much of it is not being used to its full potential. For example, only 9% of commercial content is repurposed in pharma, and fewer than 1 in 5 companies measure impact. We support our partners in getting more value from what they create by introducing smarter content taxonomies, automating tagging, and building analytics that reveal which content truly drives engagement and ROI.

Over 85% of AI projects never leave the pilot stage, leaving little real benefit. Corporate bureaucracy, static funding models and old ways of working stall progress and waste investment. We help organizations align use cases to strategic objectives, validate for value and feasibility fast, and embed solutions into operating models to ensure successful adoption.

Pharma is facing drastic systemic changes at a global level. Navigating the new most-favored-nation policies that might be implemented in the US is the latest to shift global industry dynamics. Market dynamics that seemed certain yesterday, can change tomorrow. We’re helping our partners plan for a new most-favored-nation paradigm through machine learning and gen AI accelerators that help with advanced scenario planning – as well as the strategic advisory to make it fly.

92% of healthcare professionals state they expect personalized messages, yet many organizations still rely on broad segments and generic content for their outreach. Together with our partners we scale personalization by unifying data, developing smarter segmentation strategies, and applying AI/ML models for micro segmentation to move towards tailored outreach that improves engagement.

With only 4% of global drug sales expected to remain under patent protection by 2030, the traditional blockbuster model is rapidly eroding. The looming patent cliff and growing competition from generics and biosimilars will fundamentally shift revenue streams and market dynamics. We help organizations prepare by rethinking engagement, remodelling erosion curves, and building scenario models that enable smarter investments beyond the blockbuster era.

Lengthy compliance reviews and localization processes often create bottlenecks for teams, limiting their ability to create and share approved content at the pace they need to. New GenAI tools already show a potential of 2–3x faster content approval processes. But it can’t be achieved only through AI investments. Data, processes and the organization’s mindset need to be changed towards achieving these benefits. Through a deep understanding of the medical, legal and regulatory landscape we help organizations redesign MLR frameworks, implement AI-assisted review tools, and embedding smarter governance to accelerate approvals without compromising compliance.

Only 28% of healthcare professionals believe that pharma’s current engagement strategies meet their needs, while the majority see a gap between expectations and delivery. Together with our partners we help close this gap by mapping customer journeys, building data-driven insights, and applying AI/ML to truly understand customer preferences. Ensuring that HCPs professionals receive relevant, timely, and impactful interactions.

Healthcare organizations generate vast amounts of data across EHRs, wearables, claims, and patient apps, yet over 80% of it remains unstructured and unused for decision-making. This leads to missed opportunities for insight, delayed interventions, and inefficient operations. We help organizations unify and structure fragmented data, apply advanced analytics and AI to uncover actionable insights, and embed intelligence into workflows to improve outcomes and efficiency.