Soft Suave - Live Chat 
💬 Hi there! Need help?
1
Soft Suave - Live Chat
1
The client is a leading LNG producer in the Middle East, operating a multi-train liquefaction plant that runs around the clock on 12-hour shifts. Every shift generates a dense trail of digital logbook entries — activities, critical alarms, safety observations and follow-up actions — held in the plant's electronic logbook and enterprise data platform. A bilingual workforce of operators, supervisors and superintendents depends on that record twice a day, when one crew hands the plant over to the next.
Critical operational knowledge lived inside years of free-text log entries, scattered across a system built for record-keeping, not for answers. Turning that history into a reliable shift-intelligence platform meant closing four gaps between the logbook and the people who depend on it every shift.
Writing and reading shift summaries by hand consumed valuable time at the busiest moment of every shift — and quality depended on the individual.
Answers lived inside years of free-text log entries. Finding "when did this trip last happen?" meant scrolling history, not asking a question.
Follow-up actions crossed shift boundaries without clear ownership or tracking, so recurring issues kept resurfacing unnoticed.
An air-gapped perimeter ruled out cloud AI entirely — and the platform had to serve English and Arabic users as equals, with full auditability.
Soft Suave delivered ShiftSense as a standalone, read-only intelligence layer over the plant's existing logbook and enterprise data platform — an on-premises LLM with retrieval-augmented generation, a near-real-time Spark-to-Iceberg data pipeline, and role-based dashboards for nine personas. It never writes back to source systems.
Auto-generated at end of shift and on demand — activities, critical alarms, pending actions and safety observations, on the plant's own template, exportable to PDF, Excel and Word.
Plain-language questions over the full operational history — typed or spoken — with every answer citing shift date, timestamp and record ID, and a click-through to the original entry.
A full pending-action lifecycle with overdue alerting, recurring-issue detection, KPI and trend dashboards with drill-down, predictive insight, and scheduled management reports.
"One on-premises AI brain — summaries, answers and insight, with every response traceable to a dated, timestamped source record."
ShiftSense integrates bilingual AI summarization, retrieval-augmented answers, and near-real-time operational analytics into a single governed platform. These capabilities give plant teams instant, source-cited insight across every shift, in English and Arabic.
AI answer accuracy — English and Arabic measured independently
Assistant response latency on plant-wide queries
From new log entry to searchable, AI-ready insight
Concurrent users supported without degradation
The client demanded far more than a chatbot — a production LLM platform inside a zero-egress perimeter, Arabic treated as a first-class language with its own accuracy gate, a near-real-time lakehouse pipeline, and governance aligned to ISO/IEC 42001, NIST AI RMF, OWASP LLM Top 10 and ISO/IEC 27001. Soft Suave delivered the architectural depth and delivery discipline to make it real: every answer source-cited, every interaction immutably audited, and every improvement to the AI human-approved and quality-gated before it ships.
Download this practical case study to learn how our AI-powered Shift Intelligence platform turns free-text operational logs into instant summaries, source-cited answers, and early-warning insight — fully on-premises, in English and Arabic.
Explore how we help startups and SMBs grow, launch successful products, and solve challenges with tech and strategy—backed by real results in every case study.
Book Free Consultation
Get a 30-minute free consultation from a field expert. Validate your idea for free and get a rough quote once you complete this form.
Madhu Kadiyala
Technology Consultant
