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Brian Liles

Speaker at WEST: Brian Liles, Vice President, R&D, Cost Segregation &179D, CSSI-Specialty Tax Services

Maximizing R&D Tax Credits

WEST Session: The R&D Tax Credit is a powerful federal incentive that rewards manufacturers for innovation in product design, process improvements, and new technologies. It directly reduces tax liability or payroll tax, freeing up cash to reinvest in equipment, workforce, and growth. Manufacturers often face challenges such as rising production costs, global competition, supply chain constraints, and the need to modernize with automation, robotics, and sustainable practices. The R&D Tax Credit helps offset these pressures by turning day-to-day problem-solving—like improving tooling, enhancing production efficiency, or developing prototypes—into measurable tax savings. To qualify, activities must pass the IRS “Four-Part Test”: seeking to resolve technical uncertainty, relying on science/engineering, involving experimentation, and aiming to improve a product or process. Eligible expenses include wages, materials consumed in development, and contractor costs. Two paths provide benefits: the Standard Credit , which reduces income taxes, and the Payroll Credit , which offsets up to $500,000 annually in employer payroll taxes—especially valuable for manufacturers reinvesting in growth. The One Big Beautiful Bill Act (2025) restored immediate expensing of domestic R&D costs, eliminating the burdensome 5-year amortization. It also allows companies that capitalized expenses since 2022 to retroactively accelerate deductions. Strategies for manufacturers include building stronger documentation systems, aligning R&D tracking with engineering workflows, and leveraging tax planning to maximize credits year after year. Together, these updates give manufacturers powerful tools to manage costs, stay competitive, and invest confidently in new technologies.

George Barnych

Speaker at WEST: George Barnych, Vice President and Chief Technology Officer, National Center for Defense Manufacturing and Machining (NCDMM)

Adoption of New Technology and Processes for Change Management

WEST Session: Sponsored by: UiPath Moderated by: Paul Boris This panel brings together different perspectives, from a small, family-owned manufacturing company to one of the largest digital solutions providers, to discuss the deployment of advanced technologies and how the landscape continues to change rapidly.  Using AI to improve efficiency, automate tasks and analyze data allows manufacturers enhanced decision making and is even transforming entire industries.  AI is disrupting traditional thinking at an accelerated pace.  This panel will cover organizational factors/business considerations, technical challenges, skills/labor gaps, ethical considerations and other.

Mary Miller

Speaker at WEST: Mary Miller, Director of Marketing, PayTrace

Kevin Rankl

Speaker at WEST: Kevin Rankl, VP Tech Support, SolidCAM

Michelle Leon

Speaker at WEST: Michelle Leon, Operations Manager, Levil Technology

Scaling Hardware Without the Headaches: Automated Procurement for Hardware Teams

WEST Session: Scaling Hardware Without the Headaches: The Critical Need for Automated Procurement Technology Hardware manufacturing teams face unprecedented challenges in scaling procurement operations while maintaining speed, compliance, and cost efficiency. Electronic components represent 70% of the bill of materials in mission-critical industries, yet traditional procurement systems rely on manual processes that create bottlenecks and force engineering teams to spend valuable time on logistics rather than core product development. The hardware industry urgently needs technological solutions that transform procurement from a laborious, error-prone process into automated workflows that scale efficiently without proportional increases in headcount. Modern procurement platforms must integrate advanced technologies to address the unique complexities of electronic component sourcing. Critical Technology Requirements: AI-Powered Process Automation - Advanced systems that can automatically parse unstructured data from supplier communications, emails, and attachments, converting them into structured data for ERP integration. Machine learning algorithms should track complete bills of materials across hundreds of suppliers, providing predictive insights and automated exception reporting to prevent supply disruptions. Intelligent Supplier Network Management - Technology platforms that leverage large databases of pre-vetted suppliers, using automated matching algorithms to connect procurement teams with suppliers based on technical specifications extracted from 2D/3D drawings and process documentation. This eliminates the time-consuming manual vetting process that often takes weeks. Real-Time Supply Chain Visibility - Integrated systems that provide instant access to inventory levels, bill of materials analysis, and global supply intelligence, with predictive algorithms that alert teams to compliance issues, supply disruptions, and component lifecycle changes weeks before they impact production. Research indicates that organizations implementing automated procurement technologies achieve 20% efficiency improvements while maintaining compliance with strict industry regulations. The future of hardware manufacturing depends on developing and adopting these technological solutions to eliminate traditional procurement bottlenecks and enable innovation in aerospace, defense, robotics, and other critical industries.

Guillermo Peregrino

Speaker at WEST: Guillermo Peregrino, Manufacturing Engineering Manager, Aero Bending Company