Transforming Applications with Intelligence
The manufacturing industry is undergoing a period of accelerated transformation, driven by the convergence of IT and OT under the influence of Industry 4.0.
At the same time, sustainability regulations are pushing enterprises to improve transparency and operational efficiency across the value chain. Advancements in AI have enabled practical applications in areas such as predictive maintenance, supply chain optimization, and quality assurance.
MoreThe manufacturing industry is undergoing a period of accelerated transformation, driven by the convergence of IT and OT under the influence of Industry 4.0.
At the same time, sustainability regulations are pushing enterprises to improve transparency and operational efficiency across the value chain. Advancements in AI have enabled practical applications in areas such as predictive maintenance, supply chain optimization, and quality assurance.
Meanwhile, geopolitical disruptions and supply chain shocks are reinforcing the need for greater resilience and agility. Application transfer management (ATM) is purpose-built to help manufacturing enterprises navigate these challenges with intelligence and speed.
LessChallenges in Manufacturing
- Technical debt: Decades of layered, monolithic code and complex dependencies make applications costly to maintain and hard to modernize.
- AI blockers: Outdated architecture lacks the modularity and data pipelines needed to enable machine learning and automation.
- Disconnected systems: Shop floor, supply chain, and ERP platforms often run in isolation, limiting visibility and efficiency.
- Slow innovation cycles: Manual development, testing, and release processes delay time-to-market and agility.
- Talent gap: Developers and engineers struggle to keep pace with rapidly evolving technologies and AI-driven practices.
- Change management challenges: Resistance to adopting new tools and AI– enabled workflows slows digital transformation.
- Limited partner collaboration: A lack of co-innovation reduces access to advanced tools, solutions, and industry expertise.
- Fragmented vendor landscape: Managing multiple providers without a cohesive strategy introduces integration and governance complexity.
Our Approach
Modernization is not just about moving applications to the cloud, it’s about enabling AI-ready, domain-relevant, partner-powered ecosystems for manufacturers.
Our approach is built on four principles:
Start with business goals
Align every transformation to measurable outcomes.
Leverage domain expertise
Focus on the realities of shop floor, supply chain, and engineering operations.
Modernize with AI in mind
Ensure applications, processes, and developer tools are AI-ready.
Co-create with partners
Accelerate scale faster through ecosystem collaboration.
Key Pillars of ATM
Our Differentiators
- Manufacturing DNA: Decades of experience across automotive, aerospace, and industrials sectors
- Dual lens approach: Strategic (portfolio, processes, cost) and technical (modernization, cloud, automation)
- Partner ecosystem: CAST, vFunction, Apptio, AWS, Azure, Google Cloud, NVIDIA — delivering tailored AI solutions at scale
- End-to-End Execution: From advisory and pilot program to full-scale deployment, powered by our ATM framework
Powering Manufacturing with ATM
Examples of domain-driven solutions that demonstrate ATM in action:
Driving Business Benefits
By adopting ATM, manufacturers achieve outcomes that go beyond technological upgrades:
- Operational agility: Ability to adapt production in real-time, reducing downtime and improving throughput.
- Supply chain resilience: Stronger visibility and faster responses to disruptions, lowering costs and risks.
- Accelerated innovation: Shorter product development cycles and more efficient R&D pipelines
- Empowered workforce: Higher productivity, improved safety and reduced training overhead.
- Sustainability impact: Lower energy consumption and measurable progress toward carbon reduction goals
Thought Leadership
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