ADAPT Reviews

Fraxion helps mid-market finance teams take control of spend with a single procure-to-pay platform covering procurement, accounts payable, expenses, and spend management. Instead of managing disconnected purchasing and finance processes, organizations can oversee the full spend lifecycle in one place. From requisition and purchasing through invoicing and payment, Fraxion provides automated PO workflows, configurable multi-level approvals, budget and policy controls, PunchOut and catalog capabilities, AI-enabled AP automation, spend intelligence, payments, and a mobile experience for managing spend anywhere. Each transaction is tracked with a comprehensive audit trail, providing finance leaders with greater visibility and accountability. Fraxion is built for the Office of the CFO and supports a flexible path to adoption: teams can begin with procurement or AP and add capabilities over time to create a complete procure-to-pay environment without starting over. Fraxion is SOC 2-compliant and connects with major accounting and ERP systems such as Sage, Microsoft Dynamics, NetSuite, QuickBooks, and Xero. It has served mid-market organizations in healthcare, life sciences, agriculture, education, and natural resources for over two decades.

AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows. Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets. Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.