AI / Overview
Indonesian enterprises lost $2.1 billion to fraud in 2024. OJK now requires AI-powered transaction monitoring. Hospitals are racing to hit 87% EHR adoption by year-end. We help organizations move from manual review to AI-powered operations, with Bahasa-native systems, OJK-ready compliance, and production handover in six weeks, not six quarters.
Most AI pilots in Southeast Asia die between demo and deployment. Ours don't. We embed AI where it compounds, inside claims queues, compliance workflows, service desks, audit workpapers, patient records, invoice piles, and inside your engineering team's day. Built for Bahasa Indonesia, wired to WhatsApp, and documented for OJK, BI, UU PDP, and sector-specific regulators. No pilot purgatory. No black boxes. No six-figure discovery phases before anything ships.
A four-phase path from problem to production, shaped by how Indonesian enterprises actually buy, pilot-heavy, audit-conscious, and relationship-led.
We start where the pain lives, not where the hype points. Ops interviews, workflow audits, data-availability checks, and a clear-eyed look at your regulatory surface (OJK, BI, UU PDP, BPJPH, SATUSEHAT) tell us where AI creates real leverage, and where it doesn't.
Six to eight weeks, bounded scope, explicit exit criteria. We build the smallest system that can answer one question: does this work on your data, in Bahasa, inside your workflow? No open-ended research. A pilot either earns production or earns a clean no.
The gap between prototype and production is where most AI dies. We engineer the evaluation harness, bias testing, human-in-the-loop fallbacks, and compliance documentation audit teams can defend, aligned to OJK April 2025 guidance, UU PDP cross-border rules, and your sector's regulator.
Handover is a discipline, not an afterthought. Your team gets the runbook, the dashboards, the retraining cadence, and direct access to ours, until the system is fully theirs and fully yours.
Five capabilities, ordered by where Indonesian and SEA budget is actually landing in 2026.
Claims, invoices, contracts, medical records, KTP and NPWP, we turn unstructured Indonesian documents into structured, queryable, audit-grade data. Built for Bahasa layouts, multi-format files (PDF, scan, mobile photo), and regulator-ready extraction logs.
Voice and chat interfaces that resolve, not deflect. Native WhatsApp integration, Bahasa grammar and code-switching (ID / EN / Javanese / Sundanese), grounded on your knowledge base, wired to your systems, measured on resolution, not containment.
The repetitive, rule-bound work that eats your team's time, extract, validate, route, notify, escalate. AI-assisted where judgment matters, deterministic where it doesn't, human-in-the-loop where the regulator or your risk appetite demands it.
Your AI with your memory. Permissioned retrieval over your documentation, policies, tickets, and data, with citations you can verify, access controls mapped to your org, and protections against hallucination in regulated contexts.
Agents that take action, not just answer. Multi-step workflows, tool use, self-correction, contained by evaluation harnesses, bounded by policy, observable end-to-end. For teams ready to move past Q&A into real automation.
Where our AI work has moved a number the business actually cares about.
Spatial AI over infrastructure and network data replaced a multi-day manual review with real-time recommendations, powering Setara, our decision intelligence platform for telecom operations.
AI-powered soil monitoring, yield forecasting, and supply-chain orchestration for Harves+, turning field-level data into daily decisions for farmers and buyers across Indonesia.
Indonesia's hospital EHR adoption sits at 16% today against a Ministry target of 87% by end-2026. The delta doesn't close by typing faster, it closes with medical-records AI built for Bahasa clinical documents and SATUSEHAT integration.
Products built with AI at their core deliver 3x more value than those that add AI as an afterthought. A practical take on architecture and team design.
Most AI projects die between demo and deployment. The fix isn't better prompts, it's evaluation infrastructure. Here's the one we use.
Three lessons from deploying conversational AI across Indonesia, from tokenizer pitfalls to the cultural shape of a polite refusal, and why WhatsApp is the only channel that matters.
Tell us the workflow that hurts most, the claim queue, the service desk, the compliance report, the document pile. We'll scope a six-week pilot with honest exit criteria and pricing that scales to the size of the problem, not the size of your org chart.
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