An AI agent that looks great in a demo can still fail on real customers. Here is a practical, business-friendly way to evaluate and test an AI agent before you let it touch real workflows.
Most of your team is probably already using AI tools you never approved. Here is how to write a practical AI policy for employees, reduce shadow AI risk and replace risky habits with tools that work.
Having backups is not the same as being able to recover. Here is a practical plan for business software: what to back up, how often, where to store it, and how to prove a restore works before you need it.
Every slow release and "we can't change that" is a symptom. Here are seven warning signs of technical debt, what it costs, and a practical plan to pay it down without freezing your product.
Moving from spreadsheets or an old system to new software? This data migration plan covers audit, cleaning, mapping, rehearsals, cutover and rollback, so go-live day is boring.
Paid for custom software but can't say who holds the keys? Use this software handover checklist to make sure you receive the code, access, documentation and know-how that make the system truly yours.
Freelancer, agency or in-house developer? A practical comparison of cost, speed, risk and continuity, with a simple way to choose the right model for your software project.
Fixed price or time and materials? How to choose the right contract model for your software project, and the clauses on scope, ownership and handover that protect you either way.
Shared schema, schema per tenant or database per tenant? A practical guide to multi-tenant SaaS architecture, with trade-offs, a comparison table and a sensible default for early-stage products.
HubSpot and Salesforce are the right answer for most teams. But some businesses end up bending their sales process around the tool. Here is how to tell which camp you are in, and what a custom CRM really involves.
