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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.

The AI-Ready Manufacturer: Practical Steps to Get Started

WEST Session: AI is everywhere in the headlines, but most manufacturers are still asking the same question: where do we start? Between vendor hype and uncertain ROI, it’s hard to separate what’s possible from what’s practical. This talk will help cut through the noise and share a pragmatic roadmap for building AI capability in manufacturing. Attendees will learn three proven ways to apply AI today: automating documentation, accelerating compliance, and capturing engineering expertise, along with three common pitfalls to avoid when launching AI initiatives. Rather than a futuristic vision, this session provides concrete, usable steps that any manufacturer can take immediately, whether they’re a 50-person shop or a global enterprise. The key message: you don’t need a lab full of data scientists to get started. With the right workflows, AI can deliver measurable results now, and prepare your organization for the next decade of manufacturing innovation.

How Kintek Can Be the Solution to your CNC Problem

WEST Session: Attendees can expect to hear an in depth description of the machine equipment that Kintek specially makes for turning and milling machines. They will understand that Kintek/ All Industrial Services CNC can perform service and installation as well. We want to help people realize that Kintek is there to simplify your needs, helping you from the very beginning of the problem until we solve it.

Paolo Ciampa

Speaker at WEST: Paolo Ciampa, Commercial Manager, Kintek S.p.A

Camryn Banuelos

Speaker at WEST: Camryn Banuelos, Sales Representative, Kintek/ All Industrial Services CNC

Winning with AI: The Manufacturer’s Guide to a Successful AI Journey

WEST Session: Most manufacturers begin their AI journey with high expectations, yet research shows that 95 percent of GenAI projects fail to create real business value. A common trap is the shiny object syndrome, where leaders and empowered employees chase trendy tools that look impressive but do little to address core operational challenges. This is why only 5 percent of enterprise-built AI tools ever make it into production. The companies that succeed take a different path. They delve into the business itself, uncovering where AI can make the most significant difference. Predictive maintenance that prevents costly downtime, quality control that reduces waste, and supply chain optimization that improves resilience are just a few areas where measurable impact becomes possible. What often separates success from failure is expertise. Internal teams, no matter how skilled, can be limited by organizational bias, resource gaps, and familiar ways of thinking. That is why internal builds succeed only a third of the time. Third-party AI experts, on the other hand, bring fresh perspectives that identify blind spots, challenge assumptions, and apply proven frameworks that raise the success rate to nearly 70 percent. With the proper guidance, AI stops being an expensive experiment and becomes a powerful, revenue-generating asset. For manufacturers, this shift marks the difference between falling behind and building a sustainable competitive edge.

Yaron Alfi

Speaker at WEST: Yaron Alfi, CEO, Magenta Software, Inc