<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>IT Consulting on iSquiz.com</title><link>https://www.isquiz.com/categories/it-consulting/</link><description>Recent content in IT Consulting on iSquiz.com</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>iSquiz.com</copyright><lastBuildDate>Mon, 08 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.isquiz.com/categories/it-consulting/index.xml" rel="self" type="application/rss+xml"/><item><title>Claude Code for Small Business Development</title><link>https://www.isquiz.com/post/claude-code-small-business/</link><pubDate>Mon, 08 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/claude-code-small-business/</guid><description>
&lt;p&gt;Most small businesses defaulting to ChatGPT for development tasks are leaving a more capable tool on the table. Claude Code, Anthropic's official agentic coding CLI, is purpose-built for the kind of multi-file, multi-step work that separates real software development from chat-based suggestions. Understanding the difference — and knowing when each tool earns its cost — is the kind of decision that saves IT budgets and project timelines.&lt;/p&gt;
&lt;p&gt;The distinction matters because these tools solve different problems. ChatGPT-style interfaces are conversation engines: you ask, they answer, you copy-paste. Claude Code operates directly inside your terminal, IDE, or browser, reads your entire codebase, edits files, runs commands, and commits changes autonomously. For a small business trying to ship software without a deep engineering bench, that gap is significant.&lt;/p&gt;</description></item><item><title>Context Engineering: Getting Reliable Results from LLMs</title><link>https://www.isquiz.com/post/context-engineering-llm-workflows/</link><pubDate>Sun, 07 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/context-engineering-llm-workflows/</guid><description>
&lt;p&gt;Businesses that treat large language models as fancy search boxes — typing a question and hoping for the best — consistently get inconsistent results. The teams getting repeatable, production-grade output from LLMs are not writing better prompts on the fly; they are engineering the complete context the model receives before a single token is generated. That distinction, between ad-hoc prompt tweaking and deliberate context engineering, is what separates pilots that stall from deployments that scale.&lt;/p&gt;</description></item><item><title>Five AI Adoption Mistakes Small Businesses Make</title><link>https://www.isquiz.com/post/ai-adoption-mistakes-small-business/</link><pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/ai-adoption-mistakes-small-business/</guid><description>
&lt;p&gt;A consistent finding across AI adoption surveys is that the gap between AI experimentation and production deployment is wide — and most of what sits in that gap is not a technology problem. According to O'Reilly's &lt;em&gt;AI Adoption in the Enterprise&lt;/em&gt; research, data quality and use-case identification are each cited as top barriers by roughly one in five respondents, and governance structures are absent in the majority of organizations still in the evaluation phase. For small businesses, those gaps are sharper: smaller teams, tighter budgets, and less institutional knowledge of machine learning mean the same mistakes get made in faster succession, with fewer resources to recover.&lt;/p&gt;</description></item><item><title>AI Strategy for a 10-Person Business: Where to Start</title><link>https://www.isquiz.com/post/ai-strategy-small-team/</link><pubDate>Fri, 05 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/ai-strategy-small-team/</guid><description>
&lt;p&gt;The owner of a ten-person accounting firm decided it was time to &amp;quot;use AI.&amp;quot; She bought three subscriptions, signed up for a chatbot, and asked her team to &amp;quot;try things out.&amp;quot; Six months later, two people used one tool occasionally, the other subscriptions went untouched, and no one could say whether anything had improved. The firm had an AI spend but not an AI strategy.&lt;/p&gt;
&lt;p&gt;Building a real AI strategy for a small business does not require a dedicated data science team or a six-figure consulting engagement. It requires a deliberate sequence: surface the work that consumes the most repetitive effort, run a focused pilot on exactly one workflow, measure what actually changed, and only then decide whether to expand. That sequence is short enough to execute in a quarter, concrete enough to defend to skeptical team members, and resilient enough to survive the inevitable overhype.&lt;/p&gt;</description></item><item><title>Cloud Migration for Small Business: Real Cost Breakdown</title><link>https://www.isquiz.com/post/cloud-migration-smb-cost/</link><pubDate>Thu, 04 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/cloud-migration-smb-cost/</guid><description>
&lt;p&gt;What does a cloud migration actually cost a small business? Not in consulting retainer hours billed at a vague monthly flat rate, but in real recurring fees, one-time transition costs, downtime risk, and the retraining burden your IT staff won't see coming. Cloud migration small business cost planning almost always starts optimistic and lands higher — not because vendors are hiding anything, but because buyers focus on the headline compute price and miss the supporting cast of charges that accumulate every month.&lt;/p&gt;</description></item><item><title>AWS vs Azure vs Google Cloud for Small Business</title><link>https://www.isquiz.com/post/aws-azure-gcp-small-business/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/aws-azure-gcp-small-business/</guid><description>
&lt;p&gt;Choosing between AWS, Azure, and Google Cloud is one of the most consequential infrastructure decisions a small business will make — yet most comparisons focus on feature lists that only enterprise architects care about. The variables that actually drive SMB outcomes are different: pricing transparency, what happens when something breaks at 11 PM, and whether the managed services on offer reduce headcount or require adding it.&lt;/p&gt;
&lt;p&gt;The honest answer is that all three platforms can run a small business's workloads competently. The question is which one fits the specific shape of your organization — your existing software stack, your team's skill set, and the support level you can realistically afford.&lt;/p&gt;</description></item><item><title>PostgreSQL vs MySQL for Small Business Applications</title><link>https://www.isquiz.com/post/postgresql-vs-mysql-small-business/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/postgresql-vs-mysql-small-business/</guid><description>
&lt;p&gt;Most small businesses end up with either PostgreSQL or MySQL not by deliberate choice but by default — the hosting stack their developer knows, the ORM the framework assumed, the tutorial they followed three years ago. That choice often works fine until the application grows and the team starts hitting edge cases: a JSON column that needs indexing, a replication topology that costs money, a cloud vendor whose support tier locks them in. &lt;strong&gt;PostgreSQL vs MySQL for small business&lt;/strong&gt; workloads is worth evaluating directly, because the databases are not interchangeable, and the differences compound over time.&lt;/p&gt;</description></item><item><title>Terraform for Small IT Teams: Getting Started</title><link>https://www.isquiz.com/post/terraform-small-it-teams/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/terraform-small-it-teams/</guid><description>
&lt;p&gt;Every small IT team has been there: someone stands up a virtual machine by clicking through the cloud console, then two weeks later a colleague needs a second identical one and has to remember — or guess — every setting that was chosen the first time. A firewall rule gets missed. The region is different. The instance type is slightly off. By the time three environments exist, no two are configured the same way, and nobody is quite sure which one is authoritative.&lt;/p&gt;</description></item><item><title>Small Business Backup Strategy: The 3-2-1 Rule in Practice</title><link>https://www.isquiz.com/post/small-business-backup-strategy/</link><pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/small-business-backup-strategy/</guid><description>
&lt;p&gt;How should a small business protect the data it cannot afford to lose — against ransomware, a failed hard drive, or an accidental deletion? A sound small business backup strategy is not the vague advice to &amp;quot;back up your data regularly,&amp;quot; but a structured approach with defined copies, separated media, and a tested recovery process. The answer that security agencies and enterprise IT teams have converged on for decades is the 3-2-1 backup rule, and it translates directly to the SMB scale.&lt;/p&gt;</description></item><item><title>Network Security Basics for Small Business IT Teams</title><link>https://www.isquiz.com/post/network-security-small-business/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/network-security-small-business/</guid><description>
&lt;p&gt;Small business IT teams face the same threat landscape as enterprises but operate with a fraction of the budget. The question is not whether to invest in network security — it is which controls deliver the most risk reduction per dollar spent. Network security basics for small business environments do not require a SOC or a dedicated security team; they require a short list of high-impact controls applied consistently.&lt;/p&gt;
&lt;p&gt;The five areas covered here — multi-factor authentication, patch cadence, network segmentation, phishing simulation, and access reviews — map directly to the Protect and Detect functions of the &lt;a href="https://www.nist.gov/cyberframework"&gt;NIST Cybersecurity Framework 2.0&lt;/a&gt;. Each is achievable on an SMB budget. Together they address the most common entry points attackers use against organizations with 10 to 500 seats.&lt;/p&gt;</description></item></channel></rss>