The application fabric for finance

For years, data architecture could assume known consumers: defined applications and workflows, a fixed set of users, and relatively stable queries. That assumption breaks down when thousands of employees, dashboards, notebooks, APIs, and agents start requesting different combinations of fields, histories, filters, permissions, and freshness levels from the same underlying systems. The challenge is no longer just moving data. It is governing consumption: protecting source systems, enforcing entitlements, preserving reuse, and keeping access traceable as human and machine demand becomes more individualized. That creates four closely connected challenges, and solving them separately creates the fragmentation each one was meant to fix.