What We Took Away from IFS Connect North America

1. Industrial AI Is Ready for Service and Asset Optimization

The highlight of the event? Seeing how IFS.ai is already driving practical improvements for Service and Asset organizations.

We sat in on several customer sessions where companies shared results:

• Improving first-time fix rates with AI-optimized scheduling
• Using AI agents to triage asset health data and recommend proactive maintenance
• Automating routine service workflows (work order generation, approvals, parts ordering)

One key message: You don’t need to do a full rip-and-replace to get started. Many of these companies are layering AI into existing service and asset processes to gain incremental value quickly.

2. Composable AI for Service & Asset Workflows

IFS spent time showing how their Composable AI architecture lets organizations build service and asset-specific agents that reflect their business logic, not generic workflows.

We saw live demos where:

• An agent scanned asset inspection reports and triggered preventive maintenance tasks
• Another agent monitored IoT feeds for assets, auto-prioritized service requests, and pre-scheduled technician visits
• Service managers used Teams-based chat agents to interact with scheduling tools in real time

This is very aligned with what our own clients are asking for: AI that fits seamlessly into field service and asset management—not standalone AI experiments.

3. Real-World Asset Planning and Lifecycle Management

IFS Connect also dove into asset investment planning, especially for industries with aging infrastructure.

The integration of Copperleaf into IFS Cloud is now giving organizations the ability to model asset risk, lifespan, and replacement planning in one system.

For service-driven organizations, this means tighter alignment between:

• Capital investment plans and field service execution
• Predictive maintenance and service scheduling
• Budgeting and long-term asset performance strategies

We spoke with several attendees who are already combining this with mobile-enabled inspections and AI-based service planning to close the loop between planning and action.

4. Great Conversations and Connections

One of the best parts of IFS Connect was the chance to meet and reconnect with so many great people:

• We exchanged ideas with utility leaders focused on improving field-service efficiency and asset uptime
• We spoke with manufacturers piloting AI to drive predictive maintenance and service automation
• We had excellent conversations with IFS product leaders about the roadmap for IFS.ai, PSO, MWM, and EAM
• We walk customers through their existing Service Management environments, applying deep industry expertise and best practices from both business and technical perspectives.
• Share 25+ years of field-service know-how to surface quick wins and long-term improvements
• Align your business goals with proven technical strategies to lift uptime, first-time-fix rates, and customer satisfaction

It was clear: Service and Asset teams are seeing big opportunities to improve efficiency and customer outcomes—and AI is no longer just a future vision.

Final Thoughts from Eric, Bryan & Micheline

“IFS Connect this year really showed how AI is being used to drive tangible service and asset results. It was exciting to see live demos—not slideware—and to hear directly from organizations applying these tools. The conversations we had reinforced that field service and asset-heavy industries are ready to take the next step.”

— Eric, Bryan & Micheline
Gogh Solutions

If you couldn’t make it this year and want to talk through what’s possible with IFS.ai, IFS Cloud Service Management, and EAM—reach out. We’d be happy to share more and explore what’s relevant to your business.