Technology know-how in the AI era
Articles from the Siri9 team on website maintenance, custom software operations, security, backups, AI-native systems and vibe coding for businesses.
AI for Small Business: The 4 Tasks to Automate First
Small businesses do not need a full "AI transformation". Start with 4 tasks that repeat daily, eat staff hours and already have data: answering customers, processing documents, compiling reports, and monitoring systems. Selection criteria, how each is done, costs, and how to run them afterwards.
Building a Data Platform for a Growing Business: What to Build, in What Order, and What to Skip
A data platform is the layer that gathers data from every system a business uses into one place where it can be trusted and reported on. This guide explains the 5 building blocks, the order to build them in for a company of 20 to 200 people, what a realistic budget looks like, the 6 mistakes that waste the most money, and how the platform becomes the foundation for AI later.
Machine Learning Fundamentals for Business Leaders: Enough to Decide, Not to Code
Business leaders do not need to understand algorithms, but they need 7 concepts to avoid being sold the wrong "AI": training data, models, predictions with probabilities, accuracy and how it is measured, overfitting, data drift, and large language models. Each is explained with business examples, plus 6 questions to ask before signing any AI project.
Why AI Agents Are Transforming Business Operations, and How They Differ from Chatbots
An AI agent does not just answer like a chatbot; it carries out a chain of tasks: reads a request, looks up systems, opens a ticket, sends a quote. This article explains AI agents through a real operations example, distinguishes them from chatbots and classic automation, lists 4 suitable tasks for small businesses, and the limits to know before deploying.
Fine-Tuning vs RAG: Choosing the Right Approach When Bringing AI into Your Business
Two common ways to make AI "know" your business: fine-tuning (additional training) and RAG (retrieve documents, then answer). This guide compares them in plain language: how they work, cost, time, what happens when data changes, risks, and a decision table for 6 common situations in small and mid-sized businesses.
A Practical Guide to Computer Vision in Manufacturing: 4 Fast-Payback Uses for Small and Mid-Sized Factories
Computer vision is no longer reserved for large plants. This guide walks through 4 fast-payback uses for small and mid-sized factories in Vietnam: visual defect inspection, counting and traceability, workplace safety monitoring, and reading gauges and labels. It covers data requirements, real costs, an 8-week pilot plan and the mistakes that sink projects.
Using LLMs to Analyse Qualitative Data at Scale: Turning Thousands of Customer Comments into Decisions
Customer feedback, support tickets and online reviews are a store of qualitative data most businesses never read in full. This guide shows how to use large language models to classify, tag by topic, score sentiment and summarise thousands of comments a month: a 5-step process, how to check accuracy, real costs and the common mistakes.
Why AI Agents Are the Next Competitive Advantage for Mid-Sized Companies, and When to Invest
AI agents are moving from experiment to essential for three reasons: model costs have collapsed, integration tooling is mature, and competitors have started. This article helps mid-sized companies judge whether it is time to invest with 6 questions, a 3-stage 12-month roadmap, and the 5 mistakes to avoid.