Insights on enterprise AI
Practical guidance, case studies, and analysis on AI strategy, RAG, agents, automation, and integration — written by IDS engineers and consultants.
Keeping an enterprise AI stack current — and why teams fall behind
Upgrade debt accumulates quietly until a CVE makes it urgent. A candid look at why it happens, using our own estate as the example.
Getting cited by AI assistants: answer engine optimisation for B2B technology buyers
73% of B2B buyers used an AI answer engine during vendor evaluation in 2026, and brands cited in the top three positions saw materially more qualified demand. AEO is now part of how buyers find you.
Time to value: when enterprise AI actually pays back
Median time-to-value on agent deployments in 2026 is around 5.1 months, but the spread by function is wide — from 3.4 months for sales development to 8.9 for finance and operations.
What enterprise RAG actually has to get right
Retrieval is now described as the foundation tier that grounds agents in real enterprise data. Getting it right is mostly about retrieval quality, permission-aware filtering, and knowing when to refuse.
Integration is the real blocker: 95% of IT leaders report AI integration problems
The dominant gap between AI adoption and value capture is not model capability. It is the unglamorous work of authentication, rate limits, partial failure and observability across the systems an enterprise already runs.
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.
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.
Showing 10 of 20 articles.