Maintenance and engineering teams already capture huge volumes of asset, work order, inventory, and operational data. But turning that data into a confident decision is rarely straightforward as priorities shift; people change, and processes evolve. This often means unplanned failures, maintenance budgets that are harder to justify, and engineering knowledge that's difficult to scale across the business.
Agility AI, built into Aptean Agility Enterprise Asset Management (EAM), changes this. It closes the gap between data and decisions. Your team can ask questions in natural language and immediately get insights drawn from live asset, maintenance, and operational data. It flags anomalies and delivers answers in seconds.
Agility AI is shaped by feedback from ten early adopter customers and is built to interpret questions with precision. It resolves ambiguity by clarifying next steps, and demonstrates exactly how each answer is reached. This transparency, delivered through its Intelligence Trace capability, means your team can see the reasoning behind every response, so they can act with genuine confidence.
A common concern is that data needs to be perfect before AI can add value. In practice, the opposite is true. Agility AI's built-in Asset Intelligence Assessment shows exactly where your data needs attention and what to prioritise first, so you can start benefitting from AI while continuously improving the data behind it.
The results speak for themselves. Customers using Agility AI in production have already used it to surface early warning signs across sites, identify assets missing appropriate maintenance plans, and spend far less time exporting and interrogating reports, freeing up time to focus on the work that reduces downtime.
Come and see Agility AI for yourself. Visit us on Stand K8 at MAINSTREAM UK Summit or find out more at aptean.com.
