PROVEN IN
THE FIELD.

Manual aid distribution is slow, opaque, and easy to distort. In a disaster environment, the administration needed a way to verify who was affected, understand what each family had lost, and route support in a way that matched real recovery needs.

Sietch deployed a field-ready workflow for beneficiary registration, household impact analysis, and restricted-spend aid delivery. Citizens were enrolled through biometric registration, their housing damage was assessed, and family situations were grouped by impact level. Based on that classification, the administration could define how much monthly support each household should receive.

Each beneficiary received a Sietch card and access to the Sietch OS app, where they could track available balance and approved usage categories. Funds were restricted to essential recovery needs such as food, construction materials, and medicine, helping ensure that emergency support was used for recovery rather than lost to misuse.

Revenue loss does not only come from low payment rates. It also comes from weak visibility, fragmented billing logic, and records that can be altered or deleted. Detran-DF needed stronger control over collections, stronger protection against tampering, and better visibility into how money entered and moved through the operation.

Sietch deployed a revenue operations layer that covered multiple points of the collections lifecycle. The platform supported citizen access to Detran services, strengthened control over billing and collections, and created visibility into third-party fee obligations tied to services performed by ecosystem players such as clinics and vehicle-related operators.

Alongside the operating workflow, Sietch added an immutable protection layer for the underlying records. That made it harder for external actors or insiders to delete fines, debts, or billing data that directly affect collection potential. The system also expanded visibility into how collected funds were being directed across expenses, suppliers, and day-to-day financial operations.

Municipal employee benefits are not just a payment problem. They are an operational problem involving eligibility, monthly allocation, usage control, reporting, and coordination with HR and payroll. The city needed a system that could distribute funds reliably and give administrators better control over how the benefit program operated.

Sietch deployed a municipal benefits workflow for more than 10,000 public officials. Each employee received funds through a Sietch card, with monthly balances designed to support grocery expenses and daily meals. The program was structured to keep benefit spend circulating within the city's commerce base, including restaurants and grocery stores in the region.

On the administrative side, the platform also provided controls for HR, payroll, and employee expense management, allowing the city to manage benefit distribution and workforce money operations from a single layer.

The operation already had data, but not one operating layer. Sales information was being read from seven homologated software systems, while delinquency, convenience-store performance, contract data, implementation status, and other indicators lived in separate environments. Consultants had to move across multiple tools just to understand which stores were underperforming, which franchisees were in debt, which contracts were approaching critical points, and what should happen on each visit.

Sietch deployed its OS with D.Verse as the revenue operations layer for the franchise network. The system consolidates sell-in data, sell-out performance, delinquency status, contract and minimum-performance commitments, implementation stage, and store-level operating signals into one workflow.

On top of that, agentic structures identify payment mismatches, rank stores by collections and commercial priority, trigger outreach to franchisees through digital channels, and generate next-best actions for Vibra's consultants and internal teams. The deployment also supports a consultant workspace with store diagnostics, visit guidance, and route logic, while AI agents help franchisees during implementation and operational support flows.