AI
Why your AI readiness assessment is lying to you
Traditional AI readiness assessments measure data quality and infrastructure while missing what actually predicts failure: workflow fragmentation. Knowledge workers already toggle between apps 1,200 times a day and get interrupted every 2 minutes. That is where most AI projects die, not in the data architecture.
AI incident response: Why most incidents are process failures
The most damaging AI incidents stem from process breakdowns, not technical failures. The AI Incident Database reached 1000 incidents by 2025, with GenAI involved in 70% of cases. Building incident response that addresses process causes rather than just technical symptoms is what prevents repeat failure.
How to prompt engineer like a pro
Great prompts are discovered through iteration, not designed upfront. After testing hundreds of prompts across multiple models at Tallyfy, here is what actually works for professional prompt engineering.
RAG security: Why it amplifies your existing posture
RAG systems do not create new security risks - they amplify your existing data security posture. OWASP ranked sensitive data disclosure as the number two LLM risk in 2025. Weak access controls become glaringly obvious when your AI can retrieve everything you forgot you had.
Stop talking AI features, start talking career benefits
Most companies communicate AI changes like feature announcements. Mercer research shows fewer than 20% of employees have heard from their manager about how AI affects their role. Mid-size companies have a unique advantage and can make it personal.