The systems that run what's core to your business.

Every operational business makes a decision, function by function: which parts run fine on a vendor platform, and which parts are core enough to how the business operates that they need to be built and operated separately. Expense management, financial ledger, payroll, HR, identity, contract signature, most businesses are happy to run these on platforms. Pricing, scheduling, dispatch, claims, the parts of the business that are particular to how it operates, these are the parts businesses build and operate themselves. Where the line falls is different for every business, and reasonable businesses make different choices. The operational system runs the parts on the build-and-operate side of the line, alongside the platforms that handle the rest.

This work doesn't stop after the first build. The business keeps changing, the platforms keep changing, and the operational system has to keep absorbing both.

What the work looks like

  • Complex workflows with lots of exceptions. Approval logic that depends on context, conditional rules across multiple parts of the business, industry-specific compliance, edge cases that don't fit any standard framework.
  • The integration layer between vendor platforms, APIs, and the rest of the stack. Salesforce, ServiceNow, payment APIs, communications APIs, document signature, contract management, in-house systems. The actual work usually happens across several systems at once.
  • AI on the business's own data. Non-standard vendors, industry-specific terminology, structured documents that aren't invoices, customer-specific category schemes. The data is particular to the business and the AI has to work on it directly.
  • Internal tools used by the operations team. Admin interfaces, ops dashboards, support tooling, custom reporting.
  • Stabilizing and cleaning up the older systems underneath. Fixing the data, fixing the integration design, getting the older parts of the stack working reliably so other work can build on them.

Why this approach

This work requires senior engineers who are comfortable with modern AI and with operational systems that have been in production for years, which is an uncommon combination. The work is also end-to-end, from designing how systems should fit together to operating them once they're running. Most teams are set up for one or the other.

Relevant engagements: the incident management system and the greenfield production system.

Email contact@swng.ai.