Building an AI-native interface around OptaPlanner
What it takes to wrap a constraint solver in an interface that operations teams actually use.
Read →Facterra blog
Facterra articles
On maintenance execution, OptaPlanner scheduling, AI in field service, and managing distributed critical infrastructure — from the Facterra team.
Configure optimisation constraints from natural language
Describe the rule in English. Get a scheduling constraint with a mandatory backtest.
Read →How to migrate an OptaPlanner application
The practical steps for moving an OptaPlanner deployment into a modern platform.
Read →Maintenance strategy should not start with workshops
Start with the data. The strategy writes itself when you can see what actually happened.
Read →OptaPlanner and its commercial forks for workforce scheduling
Same lineage, same concepts, different support models. What changes for a workforce scheduling application, and what the comparison misses.
Read →Replace months of CMMS configuration with a conversation
Text-to-workflow means the person who knows the procedures can author the rules.
Read →Replacing the optimisation engine is not enough
The solver is the easy part. The platform around it is what takes 18 months.
Read →The hidden cost of subcontractor maintenance
Per-seat pricing scales costs with the wrong variable when your workforce is subcontracted.
Read →What happens when OptaPlanner support ends
Planning for the end of community support and what your options look like.
Read →When AI reads the manual and builds the PM plan
Send the OEM manual. Get a PM program with every plan citing the page it came from.
Read →Why configuring FSM software is broken
The configuration problem isn't a UX problem. It's an architecture problem.
Read →Workforce optimisation fails before the algorithm runs
The data quality problem that makes most scheduling implementations underwhelm.
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