The electricals and electronics CIO's path from legacy debt to industry-specific, AI-ready operations

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Modernize with confidence: Secure, integrated, and scalable Infor CloudSuite solutions for E&E IT leaders

Building a resilient, scalable technology foundation for an electronics manufacturing business has never been more consequential—or more complex. Information technology (IT) and technology leaders in electricals and electronics (E&E) are operating at the intersection of operational continuity and rapid change. They are managing hybrid estates across multiple sites and countries, integrating tightly with manufacturing execution system (MES), product lifecycle management (PLM), and supply chain planning. At the same time, they govern data quality and cybersecurity posture as the business demands faster innovation cycles and greater supply chain adaptability.

The objective is not modernization for its own sake. It is modernization that lowers risk, raises resilience, and delivers measurable value to the business—without disrupting the operations customers depend on.

Why the E&E technology estate has reached an inflection point

The current landscape is familiar and frustrating in equal measure. Decades of customized enterprise resource planning (ERP) landscapes, brittle point integrations, and fragmented data environments have frozen upgrade cycles and accumulated into a mass of technical debt.

Then there are disparate plant systems across global facilities, each with local configurations that resist standardization. Information technology and operational technology (IT/OT) convergence challenges arise where bridging enterprise systems with shop-floor equipment and supervisory control and data acquisition (SCADA) environments demands architecture discipline that IT teams are still building. Partner sprawl, where multiple system integrators and third-party bolt-ons raise integration cost, extend timelines, and create long-term dependencies that silently inflate total cost of ownership (TCO).

Security and compliance obligations—ISO 27001, System and Organization Controls 2 (SOC 2), General Data Protection Regulation (GDPR), Restriction of Hazardous Substances (RoHS), registration, evaluation, authorization, and restriction of chemicals (REACH), and waste electrical and electronic equipment (WEEE)—demand audit trails, identity governance, and disaster recovery discipline across all systems simultaneously. Artificial intelligence (AI) readiness sits at the end of a long prerequisite list: clean, unified, governed data that legacy estates with siloed systems and poor master data quality simply cannot deliver without significant remediation.

The architecture decision that defines everything else

One of the most consequential choices facing IT leaders is the distinction between true multi-tenant software as a service (SaaS) and cloud-hosted single-tenant ERP—a distinction that matters operationally, financially, and strategically, and is often obscured in vendor conversations.

Single-tenant cloud deployments still require customer involvement in upgrade planning, creating maintenance windows and accumulating customization debt over time. True multi-tenant SaaS delivers non-disruptive, managed updates, consistent security patches, and a defined roadmap without customer intervention. For Chief Information Officers (CIOs) managing global plants across multiple time zones, the operational consequence is significant: In a multi-tenant model, your team is managing adoption and capability, not upgrade cycles. That shift in how IT capacity is spent compounds over time.

Infor™CloudSuite Industrial Enterprise takes a different approach. Purpose-built for industrial manufacturing, it embeds E&E industry processes, data models, and controls directly into the platform—reducing the need for heavy customization and lowering migration risk from the outset.

Delivered as a secure, multi-tenant cloud service on Amazon Web Services® (AWS®), Infor CloudSuite™ Industrial Expertise provides governance, compliance, and security by design, supporting multi-site, multi-company E&E operations while simplifying upgrade cycles and patch management.

The architectural commitment is specific:

  • Non-disruptive continuous updates
  • Documented service level agreements (SLAs) with tested recovery time objective and recovery point objective (RTO/RPO), ISO 27001, and SOC 2 compliance
  • Zero-trust security governance—OpenID Connect and Security Assertion Markup Language (OIDC/SAML) single sign-on (SSO) and multi-factor authentication (MFA)
  • Role-based access control and complete audit trails across the entire enterprise 

A platform built for E&E with open integration without fragility

Beyond the architectural foundation, Infor CloudSuite Industrial Enterprise addresses the specific integration and governance requirements of the E&E sector with a depth generic platforms cannot match out of the box:

  • Thousands of prebuilt application programing interfaces (APIs) and an integration platform as a service (iPaaS) layer provide governed connections to MES, PLM, quality systems, and third-party applications without custom code, reducing the partner dependency and integration fragility common in most E&E legacy estates.
  • Infor ION Gateway serves as the centralized command center for API management, providing secure authentication, authorization, and monitoring across Infor and third-party manufacturing applications, from PLM and MES to legacy ERP platforms still running in specific sites or regions.
  • Native integration with MES, Enterprise Content Management (ECM) and Infor Planning One, powered by Kinaxis® addresses bolt-on dependency and integration overhead that drives up TCO in most E&E environments is addressed directly, not through third-party middleware.
  • Common data fabric unifies Infor and non-Infor data sources into a single, governed, AI-ready data layer. Independent research from Nucleus Research cites 10–20% accuracy gains when scaling AI on this unified foundation, because it solves the underlying data quality problem at the platform level rather than managing around it.
  • Process modeler and Industry Process Catalogs deliver predefined E&E process templates that reduce configuration effort, compress implementation timelines, and lower the services dependency that drives up total implementation cost.

Deploying AI with governance, not just ambition

Diagram of how continuous innovation looks like, starting with discover (learn your business), build (co-design & deploy), measure (validate outcomes) and expand (compund value)

This is where the conversation about AI in E&E manufacturing usually breaks down. Boards want AI-driven operations. But AI requires clean, contextual data, governed decision trails, and an integration architecture that connects intelligence to execution—not a stand-alone tool that generates insights nobody can act on. For CIOs who have watched AI pilots produce interesting dashboards but no operational change, this distinction matters enormously.

With industry-built ERP as the foundation, Infor™ Velocity Suite is how you accelerate what it can do—bringing AI, automation, and process intelligence directly into the workflows your teams use every day.

Infor Velocity Suite follows a practical, staged approach built for risk-aware manufacturers: discover first, then build, measure, and finally expand.

Using Infor Process Mining maps how financial workflows actually run—surfacing where intercompany reconciliations take the longest, invoice mismatches accumulate, and procurement bottlenecks hold up cash flow. It turns instinct into evidence, giving finance the facts needed to prioritize automation efforts rather than guesswork.

ATL logo ATL Technology, a vertically integrated engineering and manufacturing partner to leading medical device original equipment manufacturers (OEMs) with operations across the US, Costa Rica, China, the UK, and Taiwan, used exactly this approach.

Operating across five global sites, ATL faced inventory accuracy gaps, procure-to-pay (P2P) invoice mismatches, and manual reporting cycles consuming 5–10 hours per site per month-end. After deploying Infor Process Mining as the diagnostic layer, the business could identify process issues 80% faster, reduce process issue reporting time by 15%, and deliver self-service P2P insights at their Wales site in under three days, compared with approximately three weeks using manual analysis. The CIO and finance teams were no longer relying on gut feel; they could see where inventory and procurement issues originated, quantify the impact, and target corrective action across the full multi-site operation.

Once the friction points are visible, Infor Velocity Suite's Value+ automations and Infor Industry AI Agents—built on the Infor Agentic Orchestrator and powered by Amazon Bedrock—turn diagnosis into governed execution. For E&E CIOs, the relevant agents for the technology estate and the operational workflows it supports include:

  • Engineering Agent and Design Engineering Agent assess design change impact, manage bill of materials (BOM) revisions, and update item structures across revisions directly within PLM and ERP workflows. For CIOs overseeing the PLM/ERP integration layer, this closes the loop between engineering change initiation and downstream execution without custom middleware.
  • Project Agent and Project Executive Agent return project-level data, flag risks in nonconformance reports (NCR’s), production, and purchase orders ,and surface proactive delay management insights across the program portfolio. For IT teams supporting contract manufacturers with complex, multi-milestone programs, these agents reduce the manual status-chasing that consumes project management and IT support capacity.
  • Inventory Agent monitors stock levels, movements, and discrepancies across warehouses and storage locations, with the ability to surface shortages and deviations in real time. In E&E environments where component shortages cascade into production stoppages, this is the kind of proactive signal that changes operational outcomes.
  • Buyer Agent and Purchasing Agent manage purchase order updates and supplier exceptions autonomously, amending purchase order (PO) lines and triggering notifications without manual intervention. The integration pattern, agent/ERP/supplier notification, is precisely the kind of governed, auditable, multi-system workflow that CIOs need to see before deploying autonomous AI in production.
  • General Ledger, Accounts Payable and Accounts Receivable Agents automate routine financial queries, reconciliation exceptions, and period-close tasks in coordination with the finance function. For CIOs accountable for system reliability during close cycles, these agents reduce the manual workload that creates the most risk during high-pressure periods.

What distinguishes this architecture from bolted-on AI is the Infor Agentic Orchestrator—the coordination layer that manages how agents interact with other agents, systems, data, and large language models (LLMs) simultaneously. It coordinates multi-agent workflows across operations, supply chain, finance, and quality. It connects seamlessly to native Model Context Protocol (MCP) servers and extends through the Infor Gateway to third-party systems without incremental integration overhead. It also governs execution with full visibility, automated quality checks, and enterprise-grade security—the three requirements that separate AI pilots from AI in production.

Benchmark logo Benchmark Electronics, the $2.6 billion global electronics manufacturing services (EMS) provider running Infor CloudSuite Industrial Enterprise across 21 sites in eight countries, illustrates what this looks like at scale.

Benchmark used Infor Velocity Suite to automate high-volume customer order processing, replacing manual portable document format (PDF)-driven entry across 250 customers with AI-powered validation and creation combining AI, generative AI (GenAI), robotic process automation (RPA), and document processor capabilities. The result is faster, more accurate order entry with immediate exception flagging. From an architectural standpoint, this is a meaningful proof point: a complex, multi-system automation workflow—document ingestion, data validation, ERP creation, and exception routing—all deployed and operating reliably in a production EMS environment.

Benchmark is now extending the same Infor Velocity Suite foundation to accounts payable (AP) invoice processing, demonstrating the compounding value of a platform-led AI approach over a point-solution strategy.

Independent analyst validation reinforces these results. Infor has been recognized as a Leader in the Gartner® Magic Quadrant™ for Cloud ERP for Product-Centric Enterprises and by Nucleus Research, underlining the strength of its architecture, integration model, and long-term roadmap for manufacturers. 

Faster value, lower implementation risk

E&E CIOs consistently identify implementation risk as a primary concern when evaluating ERP platforms. Infor addresses this directly through the Industry Process Catalogues—predefined, E&E-specific process templates that reduce configuration effort, compress implementation timelines, and lower the services dependency that drives implementation costs above budget. Migration accelerators, structured adoption dashboards, and named implementation support provide the governance and visibility that IT leaders need to manage complex, multi-site rollouts without losing control of scope or schedule.

The deployment model is designed around risk reduction by design. Customization is the exception, not the norm. Industry process best practices are embedded from the outset. Go-live is supported by named success resources, not handed off to partners. As true multi-tenant SaaS, Infor CloudSuite Industrial Enterprise ensures every subsequent update is non-disruptive: no upgrade projects, no maintenance windows, no regression testing cycles that consume IT capacity every 18 months. 

What E&E IT leaders can achieve

Technology leaders who have made this transition describe a consistent shift in how IT capacity is spent and how the business perceives IT's contribution:

  • Reduced upgrade overhead: Managed, continuous updates in multi-tenant SaaS eliminate the upgrade project cycle that consumes IT capacity and creates operational risk in legacy environments.
  • Lower integration cost: Standardized APIs, the ION Gateway, and iPaaS reduce custom integration overhead and partner dependency, making new site onboarding and mergers and acquisitions (M&A) integration significantly faster.
  • Improved security posture: Zero-trust governance, certified compliance, and continuous security monitoring across the platform provide documented evidence for auditors and the board.
  • AI adoption without remediation: Clean, unified data from the common data fabric enables AI deployment without the data quality remediation projects that delay AI initiatives in fragmented estates.
  • Shorter time to value for new sites and applications: Predefined processes and migration accelerators compress implementation timelines and reduce the services cost that inflates ERP TCO.
  • IT capacity redirected to business value: When upgrade cycles, integration incidents, and manual reconciliations are reduced, IT teams spend more time on the innovation agenda and less time on operational firefighting.

Modernization from technical debt to strategic agility

E&E CIOs have earned their caution about large-scale ERP transformation. The risks are real—implementation disruption, data migration complexity, user adoption failure, and the long tail of integration debt.

But the risks of remaining on fragmented, customized legacy platforms are equally real, and they compound every year: growing security exposure, accelerating technical debt, an inability to deploy AI at scale, and a competitive disadvantage against manufacturers who have already made the transition.

Infor CloudSuite Industrial Enterprise provides the architecture, governance, and industry-specific capabilities that make modernization achievable without the disruption that has characterized previous ERP programs. Infor Velocity Suite ensures that the investment compounds over time—as AI agents, process automation, and governed intelligence become embedded in how the organization operates, not as a future ambition but as a measurable reality for today and tomorrow.

Get more with Infor and disrupt your industry, not your operations. Contact us today to learn more.

IAN REA

Ian Rea

Director, Solution Marketing, Infor

Ian Rea is a Director of Solution Marketing at Infor, helping Industrial Manufacturers connect technology decisions to meaningful business outcomes to realize digital transformation, profitable growth, and operational modernization.