Rapid Value Creation While Transformation Is Underway

Client: Global pharmaceutical R&D organization within a biopharmaceutical company with approximately 50K employees operating across more than 80 countries and regions, spanning multiple scientific functions, laboratory environments and digital transformation initiatives.

Strategic Context

Life sciences organizations are investing heavily in digital laboratories, automation, advanced data platforms, and enterprise transformation programs to improve efficiency, strengthen data integrity, and accelerate research.

Yet while these initiatives build future capabilities, scientists continue to face operational challenges every day. Manual data transfers, recurring system access issues, fragmented workflows, duplicate information, and reliance on institutional knowledge consume valuable scientific time and delay research activities.

Although these inefficiencies often appear minor in isolation, collectively they represent millions of dollars in lost productivity, increased operational costs, delayed outcomes, and unnecessary employee frustration.

Recognizing this challenge, the organization sought a way to deliver measurable value immediately while supporting its broader transformation agenda, rather than waiting for enterprise initiatives to reach completion.

Internal Challenges

The client’s R&D environment was highly dynamic, with work performed across multiple scientific teams, systems, and laboratory workflows. While teams had developed effective local ways of working, there was limited end-to-end transparency into how activities flowed across functions, where handoffs occurred, and where operational friction was created.

In reality, scientists and operational teams develop numerous workarounds to overcome technology limitations, fragmented processes, and disconnected systems. Manual information transfers, repetitive administrative activities, inconsistent data availability, delayed approvals, and unclear ownership had gradually become embedded in everyday operations.

Because these inefficiencies developed over time and affected different teams in different ways, they were rarely viewed as significant individually. Collectively, however, they created substantial operational friction, reduced scientific productivity, increased administrative effort, delayed research activities, and limited the effectiveness of larger transformation initiatives.

Most importantly, many of these issues remained invisible to traditional assessment methods. Workshops, interviews, and documentation reviews identified perceived challenges but rarely exposed detailed interactions, handoffs, bottlenecks, and manual activities occurring during the execution of real work.

The organization recognized that understanding operational reality would be essential to identifying meaningful improvement opportunities and accelerating value realization.

Strategic Ambition

The ambition extended well beyond identifying isolated efficiency improvements. The organization sought to establish a repeatable operational excellence capability that could continuously uncover hidden operational friction, rapidly implement high value improvements, and generate insights that strengthened larger transformation initiatives.

Rather than relying solely on interviews and workshops, leadership wanted to observe how work actually flowed across scientific, operational, and technology environments. By following real projects, laboratory activities, requests, samples, and workflows from beginning to end, the organization aimed to expose inefficiencies that traditional assessment approaches frequently overlook.

The long-term vision was to create a sustainable framework capable of delivering measurable business value within weeks, improving the daily experience of scientists, and continuously feeding enterprise transformation programs with validated improvement opportunities, stronger business cases, and operational insights.

At the same time, the organization sought to establish a culture where continuous improvement became an integral part of everyday work rather than a standalone initiative.

Strategy Development Approach

To bridge the gap between transformation strategy and operational reality, Arcondis developed Accelerated Value Realization (AVR), an observation-led methodology that combines Lean Six Sigma, operational excellence, Agile delivery, change management, and value realization into a structured framework for identifying and implementing high impact improvements.

Unlike traditional assessments that rely primarily on workshops, interviews, and documentation reviews, AVR begins by observing work as it is actually performed.

Rather than asking employees to walk through or demonstrate a process, AVR follows real projects, laboratory activities, requests, samples, and workflows as they move from beginning to end. This provides direct visibility into how people, processes, systems, data, and equipment interact in day-to-day operations.

By observing work in its natural environment, AVR uncovers manual workarounds, fragmented system interactions, repetitive activities, bottlenecks, data quality issues, compliance risks, ownership gaps, and other operational inefficiencies that frequently remain hidden during conventional process assessments.

Each assessment examines five interconnected dimensions:

• People
• Processes
• Systems
• Data
• Equipment and Automation

The findings are translated into end-to-end process maps that visualize operational reality and quantify improvement opportunities. Each opportunity is then prioritized based on annualized savings potential, implementation effort, complexity, and strategic alignment, creating a balanced portfolio of immediate quick wins, medium-term improvements, and larger transformation initiatives.

Rather than delivering a static assessment report, AVR provides a practical roadmap that enables organizations to generate measurable value quickly while strengthening long term transformation programs.

Defining the Future Model

AVR was initially introduced as a proof of concept within a global pharmaceutical R&D organization to determine whether observation-led assessments could uncover meaningful improvement opportunities without disrupting scientific operations.

The results exceeded expectations.

Over a six-month period, the team assessed seven complex scientific and operational processes across six R&D organizations, including Global Chemistry, Global Biologics, Compound Management, Oncology Drug Discovery, Small Molecule Process Development, and Drug Product Development.

Through direct observation and end-to-end process mapping, more than seventy improvement opportunities were identified, revealing approximately 1.8 million dollars in annualized savings potential while also uncovering several larger strategic opportunities capable of accelerating enterprise transformation.

One assessment examined the international shipping process supporting global research activities. By following materials throughout the complete shipping lifecycle, the team identified fragmented ownership, disconnected systems, manual data transfers, inconsistent metadata, compliance related delays, customs bottlenecks, and significant process variability.

The assessment estimated that optimizing this single process represented an annual value opportunity exceeding five million dollars through improved compliance, shorter cycle times, reduced operational friction, and faster progression of research activities.

More importantly, the assessment demonstrated that many operational challenges traditionally viewed as isolated issues were actually symptoms of broader process and system interactions that only became visible through direct observation.

Translating Strategy into Action

Once opportunities had been prioritized, the focus shifted immediately from assessment to execution.

Improvement opportunities were organized into structured implementation sprints that enabled cross functional teams to validate solutions, assign ownership, monitor progress, and rapidly convert opportunities into measurable business outcomes.

This execution focused approach allowed the organization to deliver visible improvements while maintaining momentum across broader transformation initiatives.

Within six months, the implementation program delivered more than 780 thousand dollars in annualized realized savings, achieved a return on investment of 137 percent, reached full self-sustainability after only sixty days, and established an additional pipeline containing more than 577 thousand dollars in annualized savings.

What began as a focused proof of concept quickly evolved into an operational excellence capability supporting multiple R&D organizations and enterprise transformation programs.

Translating Strategy into Sustainable Operational Excellence

One of the most significant findings was that many of the highest value improvements did not require major technology investments or large transformation programs. Instead, they focused on resolving operational issues that had often existed for years but had gradually become accepted as part of everyday work.

Examples included eliminating manual data transfers between scientific systems, resolving recurring connectivity and access issues, improving integration between laboratory platforms, reducing administrative effort through targeted automation, improving data accessibility, eliminating workflow delays caused by system latency, and clarifying ownership for operational issues that had previously fallen between teams.

Although each improvement addressed a specific challenge, together they generated significant gains in productivity, operational efficiency, scientific throughput, and employee experience. More importantly, these improvements were delivered within weeks, allowing scientists and operational teams to experience immediate benefits while broader transformation initiatives continued in parallel.

Client feedback reinforced the people impact of AVR: “You’re driving a mindset that we’re serious about time savings, even in scientists’ day-to-day work. The fact that someone in the organization cared enough to fix this is a really big deal.”

The rapid delivery of visible results changed how continuous improvement was perceived across the organization. Employees became active contributors to identifying, validating, and implementing opportunities, while observation-led insights strengthened larger transformation initiatives by clarifying process dependencies, root causes, and investment priorities.

Enabling Execution

What began as a focused proof of concept quickly evolved into a scalable operational excellence capability supporting multiple R&D organizations and enterprise transformation initiatives.

The engagement demonstrated that organizations do not need to wait for enterprise transformation programs to deliver measurable business value. By combining observation led process discovery with structured implementation, organizations can rapidly eliminate operational friction while simultaneously strengthening longer term strategic initiatives.

Beyond the financial benefits, AVR established a repeatable framework for continuously identifying improvement opportunities, prioritizing investments, engaging stakeholders, and delivering measurable business outcomes across the organization.