8 factors in choosing a factory automation partner

Author:
Marc Fuentes
VP Commercial Growth

The right factory automation partner proves capability across the full automation lifecycle, from early engineering and simulation through robotics, vision systems, and long-term support, not just the lowest quote or the flashiest robot demo. For engineering and operations leaders running automotive and industrial mobility programs, that means evaluating lifecycle scope, domain experience, integration depth across PLC, MES, and SCADA layers, and how a partner handles predictive maintenance and uptime. Generic vendor rankings rarely test any of this. This guide breaks down eight criteria that hold up once a program moves from pilot line to global rollout.

Global manufacturers automate faster than they are staffing for it. Industrial robot installations more than doubled worldwide over the past decade, reaching 542,000 units in 2024, with demand expected to keep climbing through 2028, according to the International Federation of Robotics. More than a third of manufacturing executives named workforce skills their top concern in Deloitte’s 2026 Manufacturing Industry Outlook. That gap between installed technology and in-house expertise is where a factory automation partner earns or loses its keep.

Key takeaways

Does the partner support the full factory automation lifecycle?

A factory automation partner should carry a program from advanced engineering and simulation, through automation design and build, to vertical integration and post automation support. Partners who hand-off between phases introduce delays and lost context. Ask whether the same team that designs the system also commissions and supports it in production.

Can they prove experience in automotive and industrial mobility production?

Automotive production and industrial mobility programs run on tight cycle times, strict quality tolerances, and constant part variation. A partner needs case studies with measurable outcomes, not just industry logos, in comparable environments such as battery assembly, powertrain, or heavy vehicle production. Ask for cycle time, throughput, or yield numbers from similar programs before signing a statement of work.

How deep is their expertise in industrial robotics and physical AI?

Industrial robotics and physical AI now handle tasks that once required constant human judgment, from adaptive picking to in line inspection. A capable partner should explain how they select and program robotics for a specific process, not just which robot brands they resell. Ask how they validate robot performance against your actual parts and tolerances.

Can their vision systems handle your quality requirements?

Machine vision and vision systems now catch defects that human inspectors miss on repetitive, high-speed lines. A strong partner will detail how they train, test, and maintain vision models for your specific parts, lighting, and surface finishes. Ask what happens when a vision system flags a false positive or misses a defect after changeover.

Do they use digital twins to de-risk the investment before launch?

Digital twins let a team simulate line balance, robot reach, and cycle time before a single machine ships, which shortens commissioning and reduces costly rework on the floor. Manufacturing has become one of the leading adopters of digital twin technology as the tool moves from a visualization aid into standard program planning. Ask how are they approaching digital twin simulations from a comparable project, not just a rendering.

Can they integrate PLC, MES, and SCADA without disrupting operations?

New automation has to talk to existing PLC, MES, and SCADA systems, plus the broader operational technology and industrial IoT layer, without creating blind spots for IT or security gaps for OT. Ask how the partner handles vertical integration between the plant floor and manufacturing execution systems, and who owns that integration once the project is live.

How do they approach predictive maintenance and long-term uptime?

Predictive maintenance typically cuts machine downtime by 30 to 50 percent and extends equipment life by 20 to 40 percent, according to McKinsey & Company. A factory automation partner should build data collection and predictive maintenance in from day one, not add it once breakdowns start. Ask how their systems flag early wear and route that data to your maintenance team.

Can they scale and support your program across global sites?

Global manufacturers need a partner who can replicate a proven line design across regions while adjusting for local labor, supply, and regulatory conditions. Recent cohorts in the World Economic Forum’s Global Lighthouse Network show the strongest gains come from pairing technology with consistent practices across sites, not one-off deployments. Ask how many global locations the partner operates from.

Explore the possibilities

Ready to choose a factory automation partner with confidence? Book a discovery call to learn how Eclipse Automation supports your factory automation programs.