About

About Andalas Sistem

An engineering studio committed to deterministic architectures, privacy-first software, and data sovereignty.

Andalas Sistem was founded on a simple principle: modern automation and artificial intelligence must be built upon dependable, auditable, and deterministic foundations.

Many enterprise AI initiatives falter in production because they rely on fragile prompt wrappers prone to hallucinations, poorly handled error states, or third-party SaaS vendors that expose sensitive operational data.

We build differently. By combining state-of-the-art language model reasoning with deterministic finite state machines, the open Model Context Protocol (MCP), and self-hosted infrastructure, we ensure your core business data remains sovereign, accurate, and completely under your control.

Engineering Tenets

Core Tenets

Deterministic Over Generative

Financial computations, business rules, and ledger entries are executed via deterministic code rather than probabilistic guesses.

Data Sovereignty & Isolation

We prioritize local-first and self-hosted environments. Sensitive records, internal balance sheets, and proprietary documents never leak.

Auditable by Design

Every automated action generates verifiable audit logs, enforced idempotency, and explicit human approval gates for critical actions.

Engineering Profile

Lead Engineer Profile

Lead Engineer & Architect

Rizky Wahyurama

Founder & Technical Lead

Background in financial accounting, internal audit, and enterprise data systems in the public sector. Hands-on experience developing regulatory RAG pipelines, Model Context Protocol (MCP) servers, and production automated ledger reconciliation for ERPNext.

Specialist in Model Context Protocol (MCP) Architectures & Agent Tooling
Production RAG Development (Dense/Sparse Hybrid Retrieval & Groundedness Checks)
Financial Automation & ERPNext Double-Entry Ledger Reconciliation
Self-Hosted Infrastructure: Docker, Tailscale, Nginx, PostgreSQL/pgvector

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Let's review your manual workflows or internal AI integration needs directly with our lead engineer.

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