Insights on enterprise AI
Practical guidance, case studies, and analysis on AI strategy, RAG, agents, automation, and integration — written by IDS engineers and consultants.
Vietnam’s new digital and high-tech laws took effect on 1 July 2026 — a compliance read
The Law on Digital Transformation and the Law on High Technology came into force on 1 July 2026, following the Law on Artificial Intelligence in March. What changes operationally for enterprises deploying AI in Vietnam.
The agent governance gap: what to put in place before agents touch production
AI agents moved into production during 2026; governance did not follow. Agent governance is now being described as the new cybersecurity concern — here are the controls that actually matter.
Vietnam’s National Digital Transformation Strategy 2026–2030: what it means for enterprises
Vietnam approved its National Digital Transformation Strategy on 14 July 2026, targeting a digital economy worth 30% of GDP by 2030 and committing support for 500,000 SMEs. Here is what enterprises should actually do about it.
Why most enterprise AI pilots never reach production
Analyst data puts enterprise AI pilot failure near 88%, yet the cause is rarely the model. It is scope chosen without a baseline, no owner for the workflow, and no plan for the cases that break the happy path.
From RAG to GraphRAG: when vector search isn’t enough for legal, finance, and engineering docs
Vector search finds chunks similar to your query — that’s the whole mechanism. For legal contracts, financial filings, and engineering BoMs where relationships between entities matter, similarity isn’t structure. A practical guide to GraphRAG and the hybrid retrieval pattern that fits most enterprises.
Knowledge graphs + LLMs for Vietnamese enterprises: handling language nuance at scale
Vietnamese tone marks. Compound-noun word boundaries. Company-name conventions (Công ty Cổ phần / TNHH / JSC). Administrative restructuring of districts and wards. Code-switching with English. Regional vocabulary. Six realities that break off-the-shelf retrieval — and how a knowledge-graph layer handles them.
Why your RAG system gets worse over time — and how to fix retrieval drift before users complain
The first 90 days, your RAG system feels accurate. By month five it’s firefighting. Four drift drivers, four detection signals, three embedding refresh strategies, and the operational practices that catch the regression in dashboards instead of customer complaints.
Computer-use agents vs. legacy RPA: where each one actually belongs
UiPath and Automation Anywhere aren’t dead — they’re still doing real work in real enterprises. But computer-use agents handle the tasks RPA was always bad at. A six-question allocation rule and the hybrid pattern most enterprises actually need.
The CFO's AI scorecard: measuring real ROI in the first 12 months
Most AI projects fail the CFO test not because they didn’t work but because nobody measured them in finance terms. Four buckets — revenue, cost, risk, capability — each with a baseline, a target, and a 30/60/90 cadence so the answer in month twelve doesn’t rest on storytelling.
Voice AI for Vietnamese customer service: dialects, code-switching, and brand voice
Voice AI works well in English. For Vietnamese customer service, off-the-shelf stacks miss three things — regional dialect variation, English/Vietnamese code-switching mid-call, and brand-appropriate Vietnamese register. Each one shows up in CSAT before the engineering team notices.
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