Practical AI: Beyond the Hype

Everyone is talking about AI, but who is making money with it? In the Indonesian B2B space, we are seeing three clear use cases emerging that actually drive ROI.

1. Intelligent Document Processing (IDP)

Logistics and finance companies drown in PDFs—invoices, bills of lading, and receipts. Traditional OCR is brittle. We are using multimodal LLMs to “read” these documents. The AI understands layout and context, extracting structured JSON data even from messy scans or photos taken by truck drivers.

2. Customer Support Triage

We are not replacing humans, but we are making them faster. We implemented a system for a telecom client that reads incoming support tickets, tags them (e.g., “Billing”, “Technical”, “Sales”), and drafts a suggested response for the agent. This reduced average handle time (AHT) by 40%.

3. SQL Generation for Non-Tech Teams

Business analysts often wait days for engineers to write SQL queries for reports. We built internal tools that allow managers to ask questions in plain English (“Show me sales in Jakarta last week”) and have an LLM translate that into safe, read-only SQL queries against their data warehouse.