I think a lot of teams get stuck trying to make a big bet on AI instead of just starting small.
The ones I've seen get value quickest are usually testing focused use cases, learning what actually works on their site, then building from there.
Less about transformation, more about what actually helps day to day.
In a previous role we supplied project systems, and being smaller meant we could adapt quickly to what clients actually needed. More often than not, those changes ended up benefiting everyone.
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Nick Bell
Founder
Duallo
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Original Message:
Sent: 03-30-2026 08:19 AM
From: Adilan Bittar
Subject: Robotics and AI in Maintenance – Practical Adoption and Future Outlook
Hello everyone,
I would like to hear from the community about your experience and perspective regarding the integration of robotics and artificial intelligence into maintenance processes.
- How are these technologies currently being applied in your operations (e.g., inspections, predictive maintenance, autonomous interventions)?
- What challenges have you faced during implementation (technical, cultural, financial)?
- Do you see this as a gradual evolution or a disruptive transformation in the next 3–5 years?
From your perspective, what level of adoption should we realistically expect in industrial environments over the coming years?
Looking forward to hearing your insights and real-world experiences.
Are robotics and AI truly transforming maintenance, or are we still seeing more hype than real value in industrial applications?
What are the most successful use cases of AI and robotics in maintenance today, and how are you measuring ROI in these implementations?
How should maintenance leaders prepare their organizations for the integration of AI and robotics without overinvesting in immature technologies?
Best regards,
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Adilan Bittar
Commercial Director
RAL Manutenção e Montagens LTDA
ARACRUZ
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