Start AI assessment Insights for digital excellence
Knowledge, trends, and best practices from potential analysis, digitalization, and AI.
1-9 of 38 Posts
Subscribe via RSS
What AI Is Doing to White-Collar Jobs in Your Company Right Now
What AI is doing to office jobs: New research shows how white-collar work is changing.
Read article →
How LIVOI relieves service teams: fewer follow-ups, faster answers
How companies relieve their service teams with LIVOI: fewer follow-up questions, faster answers, and up to 20 hours saved per month.
Read article →
When Democracy Feels Too Complicated: How DemoRa Makes Access Easier
Why democracy often feels too complicated and how DemoRa makes civic education understandable, approachable, and fact-based.
Read article →
Difficult Times? That Is Exactly When a Solution That Truly Relieves Teams Pays Off
Why LIVOI is especially worthwhile right now: less routine work, more relief, and tangible impact in daily operations, even in economically challenging times.
Read article →
AI in Companies: How to Start Without Rushing Into Tools
Many companies already use AI, but often without a clear direction. Learn how a sensible first step into AI in business can work.
Read article →
AGI Worries Many People, but the Real Risk Lies Somewhere Else
AGI sounds like the future. But AI is already changing companies today. Why mid-sized businesses in particular should take a closer look now.
Read article →
AI Agents in a Reality Check: OpenClaw, Hermes, and Paperclip. How Should a Company Proceed?
OpenClaw, Hermes, and Paperclip in a reality check: where agents become risky inside companies and how LIVOI enables secure, controlled AI adoption.
Read article →
Easter Mission with LIVOI: Three Hidden Easter Eggs and 20 Chances to Win
Three hidden Easter eggs, 20 chances to win, and a practical reminder of how much time gets lost to searching, follow-up questions, and friction in daily operations.
Read article →
From API-First to Real Power: Dynamic Queries in LIVOI
Why LIVOI's dynamic query engine matters in practice: fewer custom endpoints, faster product iteration, and flexible data access without GraphQL overhead.
Read article →