AI / Capabilities
Document Intelligence.
Indonesian enterprises still run on documents, claims forms, invoices, medical records, audit workpapers, KTP scans, NPWP filings, flight maintenance logs. Most of it is Bahasa-layout, mixed-format, and trapped in PDFs or mobile photos. We turn that chaos into structured, queryable, audit-grade data, built for Indonesian documents first. Live in weeks, not quarters.
The highest-ROI place to start with AI
Nine out of ten Indonesian enterprises we meet have the same bottleneck, a pile of documents a human has to read before anything happens. Claims. Purchase orders. Patient records. KYC files. Audit evidence. Each one holds the queue for hours, sometimes days. We replace that read with a model your team can trust: trained on your layouts, validated against your rules, logged for OJK, BI, UU PDP, or BPJPH, whichever regulator is watching. The work still gets checked. It just stops being the bottleneck.
How we build document intelligence you can defend in an audit
A four-phase path that treats compliance as a design input, not a post-deployment scramble.
Discover
We start with your worst pile. Which documents queue the most hours, cost the most in error rework, and face the most regulator attention? We map the document type, the extraction fields that matter, the downstream systems, and the audit trail expectations from OJK, BI, UU PDP, BPJPH, BPOM, or SATUSEHAT.
Pilot
A six-week pilot on your data. We build extraction, classification, and validation pipelines for one document type end to end, typically a claim form, a tax invoice, a patient record, or an audit workpaper. Target: 90%+ field-level accuracy with clean fallback to human review.
Validate
Where most document AI fails. We engineer the evaluation harness, bias testing, drift monitoring, and human-in-the-loop review queues. Every extraction gets a confidence score. Every override gets logged. The output is documentation your audit team, your regulator, and your board can all read.
Scale
Production handover. Your team gets the model runbook, the retraining cadence, the dashboards, and access to ours until the system is fully yours. New document types added as modules, not rebuilds. You own the output, the logs, and the IP.
What we build
Four document-intelligence disciplines that together replace the "someone has to read this first" bottleneck.
OCR & Vision for Indonesian Layouts
Receipts on mobile photos, KTP scans at 45 degrees, handwritten margins on claims forms, faxed medical records. We tune vision models to the formats Indonesian enterprises actually receive, not the clean lab-grade PDFs in English-language vendor demos.
Bahasa Entity Extraction
Indonesian names, place names, product names, currency formats, date patterns, and regulator-specific codes (NPWP, NIK, BPJS IDs, HSN). We extract with models tuned for Bahasa morphology and code-switching, not ported-over English NER that guesses on every third field.
Classification & Routing
Documents don't all mean the same thing. An invoice from a tier-1 supplier routes differently than a disputed claim from an end customer. We build classifiers that understand your taxonomy, the one your team already uses, and wire the routing to your workflow tools.
Validation & Audit Logs
Every extracted field gets a confidence score, a source-region citation, and a traceable decision path. Every override gets a logged reason. Every revalidation gets a diff. This is the difference between a demo and a system you can defend when the regulator asks how a decision was made.
Document intelligence in action
One deployment we've shipped, and the market reality shaping every conversation we walk into.
Photo-based agronomy guidance at smallholder scale
We built the vision and extraction models behind a smallholder agronomy system, turning farmer-submitted photos of crops, pests, and soil conditions into structured inputs for field-specific advice. Delivered over WhatsApp, in Bahasa and regional languages. Silver award at the 2025 Salesforce Tech4Good Awards.
Half of B2B invoices will be automated by 2025
Global B2B invoice automation is crossing the 50% threshold this year, with Southeast Asia lagging, SE Asia AP teams still spend 40% more time on multi-entity processes than global peers, and regional e-invoicing mandates are closing the window for voluntary modernization.
Hospitals have a 12-month window to hit 87% EHR adoption
Indonesia's hospital EHR baseline sits at 16% today against a Ministry target of 87% by end-2026. SATUSEHAT is already integrating 36,000+ facilities. The documents haven't digitized themselves, they have to be extracted, structured, and made FHIR-ready.
What's trending in document intelligence
View all insights →
Comprehensive Enterprise Artificial Intelligence Implementation Guide for Maximum Efficiency
In depth exploration of the enterprise artificial intelligence implementation guide combining process automation and knowledge systems for market dominance.
Value Addition Orchestration: Cognitive Innovation Strategies in Modern Corporate Governance
Valuable insights on Artificial Intelligence Transformation strategies executing financial workflows agent systems and revolutionary medical interactions.
Integrated Document Intelligence Strategy: The Core Pillar of Corporate Data Transformation
Optimize operations through an integrated document intelligence strategy capable of transforming complex data into valuable business insights for companies.
What document pile should we take off your team's week?
Tell us the document type that backs up the queue most, claims forms, supplier invoices, patient records, audit evidence, tax filings, mobile-photo receipts. We'll scope a six-week pilot with honest exit criteria, benchmarked against a real sample from your data.
Start a project