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Bentley AssetWise is an asset performance and lifecycle information management platform for infrastructure assets, supporting reliability, inspection, asset health, and engineering content.
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When customers change their system credentials, the existing Makini connection will lose access and workflows will begin failing with authentication errors. Makini provides webhook notifications when connections require reauthorization, allowing you to proactively notify customers. Customers can reconnect by logging into the system through Makini's authentication flow again, which issues a new API token. The reconnection process takes only a few minutes. Best practice is to implement connection health monitoring and automated alerts when connections require attention, so you can address issues before they impact operations.
Makini's purchase order data model includes comprehensive field coverage across all major ERP systems. Standard fields include order number, line items, vendor information, quantities, unit prices, dates (order date, required date, delivery date), status, currency, ship-to and bill-to addresses, payment terms, and custom fields. Each line item includes product/material codes, descriptions, quantities, unit of measure, pricing, and delivery information. The specific fields available depend on the source system's capabilities. You can view the complete field mapping for any connected system in the Makini dashboard, and custom fields can be added as needed for your specific requirements.
Makini supports create, read, update, and delete (CRUD) operations, though availability varies by system and entity type. Most systems support creating and updating core entities like purchase orders, work orders, and inventory items. Read operations are universally supported across all entity types. Delete operations are less commonly supported due to system constraints—many industrial systems use soft deletes or status changes rather than true deletion. Update operations may be limited to specific fields depending on system configuration and business rules. For example, some systems prevent modifying purchase orders after approval. We recommend validating specific operation support for your use case during the technical deep dive.
Yes, through Makini Flows, which includes connectors for popular databases including Snowflake, PostgreSQL, MySQL, MongoDB, and others. This enables workflows that synchronize data between industrial systems and your data warehouse or analytics platforms. For example, you can sync purchase orders from SAP to Snowflake for analytics, or use database queries to drive integration logic. Database integrations use the same workflow builder as other integrations, making it easy to combine industrial system data with database operations. For direct database-to-database syncing, we can help design optimized workflows. Database connections are treated as custom integrations and may require additional workflow development.
