PAT Feasibility Analysis
Decide where PAT makes sense—before you invest
Not every process needs PAT—and not every PAT idea is worth implementing. The real challenge is to pick the right opportunities, build a realistic case and design a feasible concept before you commit budget and scarce change capacity.
Amalia Technologies conducts structured PAT feasibility analyses to assess technical and organizational readiness, identify measurable value, and define a practical implementation roadmap.
PAT projects often fail before delivering value
Projects start with tools, not defined process problems
Data and model lifecycle management are complex
Regulatory and data integrity requirements are high
Implementation requires significant organisational change
Why PAT Feasibility Analysis matters
Identify where PAT will create real value
Define what is required for successful implementation
Compare PAT against simpler, lower-risk alternatives
Build a clear, objective basis before investing
What we do under PAT Feasibility Analysis
We structure each PAT feasibility analysis as a time-boxed engagement with clear phases. Most of the work combines short workshops with your teams, desk reviews of existing data and targeted discussions with potential vendors, without committing you to any specific supplier.
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Clarify business drivers (for example: quality, cost, capacity, time-to-market, sustainability)
Select the process or unit operations in scope (batch or continuous)
Capture constraints around facilities, automation, IT, data governance and regulatory strategy
Agree clear decision criteria for the feasibility outcome (for example, minimum expected benefit or payback period)
This creates a shared, PAT specific frame for all subsequent analysis for any decision on whether to move towards implementation.
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Map the end-to-end process and its pain points
Identify Critical Process Parameters (CPPs), Critical Quality Attributes (CQAs) and known failure modes
Review existing analytics, sampling strategies and control loops, including how data are really used in decisions
Assess current investigations, deviations and tech-transfer experience, including any prior PAT or Design of Experiments (DoE) work
This produces an evidence-based view of where the process genuinely struggles and where better measurement, PAT or improved control would change outcomes.
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Identify where in-line, on-line, at-line or off-line measurements could improve process understanding, control or release
Screen potential PAT tools—such as Raman, NIR, FTIR, UPLC, imaging and particle-size analysis—from both a technical and operational perspective
Consider sampling interfaces (for example flow cells and immersion probes), data infrastructure, chemometrics requirements and integration with existing control systems
Hold targeted discussions with instrument and software vendors where helpful, while keeping a clear separation between independent analysis and any potential procurement.
The goal is to understand whether the right measurements are achievable at an acceptable level of cost, complexity and disruption.
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Estimate potential gains in yield, cycle time, release lead time, waste and energy usage, as well as impact on investigations and tech transfer
Identify key implementation risks—technical, regulatory and data—and realistic mitigation options, including QbD and validation strategies
Compare PAT with non-PAT interventions such as better Design of Experiments (DoE), improved sampling plans, recipe adjustments or equipment upgrades
This prevents PAT becoming the default answer when a simpler intervention would deliver similar or better results.
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Outline a preliminary PAT architecture (tools, installation locations, sampling interfaces, data flows and model types).
Sketch a roadmap from proof-of-concept to full deployment, including required experiments, model development and transfer to manufacturing
Outline regulatory and validation considerations, including QbD linkages, design-space implications, continued process verification and any Real-Time Release Testing (RTRT) potential
We deliver a decision-ready feasibility report with clear findings, assumptions and a justified path forward for PAT.
Deliverables
A typical PAT feasibility analysis delivers:
A concise explanation of the case for or against PAT for the process in scope.
Visual mapping of the process, CQAs, CPPs, current controls and failure modes.
Measurement options by unit operation, with candidate PAT tools.
Improvement potential, costs, risks, and comparison with non-PAT alternatives.
Diagrams and narrative showing tools, data flows, and implementation plan.
For design, validation, and lifecycle management.
Day-to-day project management, stakeholder coordination and workshop facilitation are all included. We take full ownership of delivery so your teams can focus on providing input rather than chasing actions.
Customer Stories & Insights
Outcomes you can expect by working with Amalia
By the end of a PAT feasibility analysis, you should have:
A structured, evidence-based decision on whether PAT is worth pursuing now, later or not at all.
A clear view of expected benefits, risks and how PAT compares to non-PAT alternatives.
A high-level concept and implementation path aligned with DoE, QbD and tool selection.
Documented considerations ready to share with Quality, Regulatory Affairs and senior stakeholders.
Stronger agreement across development, manufacturing, QA and automation on priorities and direction.
A robust foundation for investment cases, supplier discussions and regulatory engagement.
When to consider a PAT feasibility analysis
You are exploring PAT but want to avoid technology-driven pilots with unclear value
A process has recurring deviations, high variability or long lead times and you suspect better monitoring or control may help
You are considering continuous manufacturing and need a control strategy built on real-time measurements
You need input for a business case or portfolio decision and want an objective view of cost, benefit and risk before investing
You have several candidate processes and need to prioritise where PAT would deliver the greatest impact.
We can start with a single problematic step, such as granulation, coating, filtration or a flow-chemistry reactor, and expand to a wider portfolio as required.
Why Amalia
We help organisations turn complex change into solutions that people actually use. We combine structure, respect and creativity so your teams deliver better outcomes with less friction. Here is what that looks like in real engagements.
We remove what isn’t needed while keeping essential controls and compliance. The result is clear, practical systems that are easy to adopt and maintain.
A single, senior, cross-functional team replaces multiple vendors. Fewer hand-offs, faster delivery, and one accountable partner throughout.
We align leadership, QA, IT and operations around shared decisions. Clear reasoning, documented outcomes, and no misalignment.
Solutions are built around real processes and real risk. Practical delivery that avoids shelfware and drives measurable outcomes.
We bring global experience and adapt it to your specific context and operating reality. Proven frameworks, applied flexibly where they matter most.
Senior leaders stay involved from start to finish on every engagement. Each programme is treated as a long-term partnership, not a one-off project.
Want to simplify complex work without losing control?
Work with a team that can join up governance, assurance, platforms and technical depth from start to finish.