Context-aware GenAI workflows and policy copilots designed to reduce administrative workloads by 60%. Connecting public records directly to verified executive decision pipelines.
We address the core governance challenge: managing millions of unstructured public records, including scans, paper archives, and complex policy notifications.
Sariki’s specialized GenAI pipeline uses Retrieval-Augmented Generation (RAG) to convert unstructured data into verified, context-aware databases, ensuring sources are cited for decision support and administrative query flows.


Our Policy Copilots act as intelligent assistants, providing public administrators with synthesised performance metrics, budget disbursement velocity, and field demographic data for near-instant situational awareness.
By proactively identifying emerging bottlenecks, they reduce manual report-writing time and deliver course-correction strategies directly to executive dashboards. All operation models are domain-specific to public sector workflows and policy execution rules.
To eliminate data leakage in high-stakes operations, Sariki deploys all specialized GenAI models within localized, air-gapped sovereign cloud instances or certified state data centers.
Tokenization, LLM processing, and semantic vector indexing remain under direct physical and digital control of the government partner, ensuring full data protection and compliance.

Automates repetitive document review and classification tasks.
Instant clause extraction across thousands of policy documents.
100% on-premise or sovereign cloud hosting.
Supports regional languages for inclusive civic governance.