The AI Readiness Audit: 12 Questions Before You Spend a Dollar
Don't waste money on AI your business isn't ready for. Answer these 12 critical questions to identify foundational gaps before investing in AI tools and implementation.
23 articles tagged with "Business Strategy"
Don't waste money on AI your business isn't ready for. Answer these 12 critical questions to identify foundational gaps before investing in AI tools and implementation.
Cut through the AI hype and discover the three areas where AI delivers immediate ROI for mid-sized businesses. Learn how to pilot AI without betting your company.
A day-by-day implementation guide for mid-sized businesses. Real examples, actual timelines, and specific actions to deliver measurable AI ROI in three months.
How to present AI investments to financially-minded decision makers. Calculate realistic ROI, structure pilot programs, and build business cases that get funded.
Stop with theoretical AI savings. Here are five real companies with real AI implementations, documented costs, measured results, and honest assessments of what worked and what didn\t.'
The talent question for growing businesses: hire AI specialists, train existing team, or partner with experts? Real salary data, role definitions, and when each approach makes sense.
Your existing employees can learn AI effectively without becoming prompt engineers. Practical training approaches, tools for non-technical backgrounds, and building an AI-capable culture.
Cut through marketing and compare major AI platforms on what matters: real costs, actual capabilities, integration complexity, and business fit for mid-sized companies.
Framework for making build/buy decisions without technical expertise. Questions to answer, factors to weigh, when speed beats ownership, and when ownership beats convenience.
Your list of tools doesn't matter. How they work together does. The tech stack obsession is dying, replaced by integration architecture as the real competitive advantage.
Technical debt isn't always bad. Strategic investment isn't always good. Here's how to make the trade-offs that serve long-term business success.
Someone leaves your company. What access do they still have? The scary audit of email, systems, API keys, admin rights, and third-party tools. Real checklist for offboarding that prevents security disasters.
Hands-on testing of AI coding assistants with real productivity measurements, code quality comparison, and cost analysis. Which tools actually help vs. hype.
Stop guessing whether to build custom software or buy SaaS. This structured framework with 15 critical questions gives you an objective answer based on your business reality, not vendor promises.
Sometimes your business genuinely doesn't fit the template. Learn when "industry standard" software won't work, how to recognize legitimate uniqueness vs. special snowflake syndrome, and when to build custom.
Building custom software is just the beginning. Ownership means maintenance, updates, security, and evolution. Learn the real ongoing costs and responsibilities of owning custom code.
Start with SaaS to get to market fast, then migrate to custom when you hit scale. Learn how to execute this hybrid strategy without getting trapped, when to make the switch, and avoiding technical debt.
Customer history in one place, orders in another, support tickets somewhere else, marketing data in yet another tool. Learn how this fragments your business understanding and what proper data architecture actually means for a 50-person company.
Is it in Salesforce? Your billing system? The custom app? All three? Learn about the concept of system of record for business owners who just want their data accessible and correct, with practical consolidation approaches.
Excel works great until you hire more people and different versions start floating around. Learn when to move to actual databases, what that means for non-technical owners, and options that don\t require hiring a DBA.'
The microservices sales pitch sounds great but often destroys productivity for growing businesses. Learn when monoliths are actually the right answer, what problems microservices solve (and create), and how to evaluate the pitch from your technical team.
Real story of a 60-person company that spent 18 months and $200K breaking apart a working system into microservices, only to reassemble it. What went wrong, warning signs to watch for, and when the complexity is actually worth it.
It''s not always the server. Walk through the real performance killers in business systems: bad database queries, the N+1 problem, oversized images, chatty integrations, and inefficient workflowsexplained in business terms with real impact.