Engineering Services Transformation
Overview
In MedTech manufacturing, the complexity of managing product labels is only the tip of the iceberg. Behind every label change lies a network of interconnected processes, technical documentation updates, supplier change requests, qualification records (IQ/OQ/PQ), and lifecycle data maintenance. All essential for ensuring product integrity and regulatory compliance. For one leading MedTech company, these processes had become a bottleneck. Each change required navigating multiple disconnected systems, repetitive data entry, lengthy approval cycles, and manual interventions across engineering, quality, and regulatory functions. The result: slow response times, high costs, and growing compliance risk in critical documentation workflows. Palarete was engaged to design a scalable operating model that would streamline, digitize, and strategically rebalance how these processes were delivered, turning fragmented activities into a lean, integrated, and digitally enabled partnership model.
The Challenge
- Manual, multi-step workflows for label management, supplier change requests, and engineering documentation updates
- Long lead times — 8–12 weeks to process change requests and documentation updates
- Heavy reliance on local teams and inconsistent documentation governance
- Compliance gaps due to lack of system integration and data duplication
- Rising administrative and labor costs across regulated documentation functions
- Limited visibility and metrics to track turnaround times, right-first-time performance, or workload efficiency
Our Approach
Process Mapping & Lean Optimization
Conducted a full process and value-stream analysis across label management, supplier change requests, and technical documentation maintenance. Identified duplication, excessive approvals, and manual data collection as core constraints. Redesigned the process to remove non-value-added steps and introduced standardized digital workflows to ensure consistency and compliance.
Duration: 6 weeks
Digital Enablement
Developed digitized workflows integrated with the client's QMS, labeling, and supplier systems. Introduced automation and AI capabilities for data validation, change tracking, and compliance verification. Created centralized dashboards for visibility into cycle time, right-first-time performance, and process bottlenecks.
Duration: 8 weeks
Strategic Offshoring Partnership
Established a hybrid onshore–offshore partnership model to deliver defined documentation and labeling services. Transitioned stable, well-defined processes (e.g., supplier change requests, labeling updates, document maintenance) to a trained offshore team for round-the-clock efficiency. Built in a continuous improvement commitment, ensuring year-on-year productivity and cost gains through digitization and process refinement.
Duration: 12 weeks
Governance and Continuous Improvement
Implemented clear governance and performance metrics (KPIs on turnaround time, compliance, and cost efficiency). Provided ongoing process capability development for both onshore and offshore teams. Introduced an operational excellence review cycle to sustain continuous performance improvement.
Duration: Ongoing
Results & Impact
>60% Cost Reduction
Overall documentation management costs significantly reduced
Up to 75% Lead Time Reduction
For supplier change requests and labeling updates
Zero Compliance Deviations
Post-transition compliance maintained at 100%
>50% Reduction in Manual Entry
Through automation and AI validation
Full Cross-Functional Visibility
Integrated visibility across labeling, documentation, and supplier processes
Sustainable Improvement Model
Year-on-year cost and efficiency targets built into the partnership
"By streamlining our documentation and labeling processes, digitizing workflows, and building the right global partnership, we've created a model that's faster, more transparent, and significantly more cost-effective."
Head of Engineering Excellence
MedTech Manufacturer
Key Learnings
- Automation without process redesign doesn't work. Lean mapping must come first.
- AI enhances compliance when it validates against trusted master data and regulatory references.
- Integrated data flows are the key enabler of accuracy and speed.
- Hybrid operating models (onshore/offshore) supported by digital tools deliver both agility and efficiency.
- The same framework is scalable beyond labelling to supplier changes, document control, and product lifecycle management.
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