Explore our latest thoughts on AI, technology, and digital transformation
Most appointment bots fail because they’re too polite to say “no.” They collect a date, grab a time, and then fall apart the second your actual business rules...
Most enterprises talking about fine-tuning aren't ready for it. That's not a hot take, it's the pattern. According to Vertesia's 2025 survey, only 30% of...
Most AI voice bots don't fail because the models are bad. They fail because teams build for demos, not for conversation. I've seen smart engineers ship...
Most insurers are aiming AI at the wrong problem. They keep chasing full automation, as if claims is just paperwork plus math, and then act surprised when the...
Most real estate AI projects fail before the model fails. They break in the handoff, inside the messy middle where your MLS data, CRM rules, scheduling logic,...
Most AI systems don’t fail with a crash. They fail while everyone’s still calling them “production-ready.” I’ve watched teams celebrate an on-time launch, then...
Most EdTech AI still fails the students who need it most. That's the part vendors skip, even while 86% of educational organizations say they've already...
Only 21% of teams say they're strongly satisfied with their current voice agents, according to the 2025 State of Voice AI report. That number stopped me cold....
Most WhatsApp chatbot projects fail before the first message goes live. Not because the AI is weak. Because the integration choice is wrong from day one, and...
Most video analytics projects fail before the model even runs. Not because the AI is weak. Because the pipeline is a mess. That’s the part too many teams still...
Most companies shouldn't build a website chatbot. That's not a hot take. It's what the numbers keep saying once the invoices, delays, and maintenance tickets...
Most AI automation programs shouldn't have been approved. I know that's blunt. But I've watched teams celebrate faster workflows, cleaner dashboards, and more...
Most companies shopping for an LLM development company are buying the wrong thing. They say they need a custom model. What they usually need is an application...
Most enterprise LLM projects should not start this quarter. That's not caution talking. That's pattern recognition from watching smart teams waste months on...
Most contract review teams are wasting expert time on work a machine can finish before a human lawyer finishes coffee. That sounds harsh. It’s also getting...
Most generative AI apps don't fail because the model is weak. They fail because the UX is lazy. That's the part people still get wrong about generative AI app...
Most AI analytics work is expensive theater. Teams ship dashboards, copilots, and prediction models that look sharp in demos, then fall apart the second...
Most retail dashboards are expensive wallpaper. They look busy, they impress people in meetings, and they still don't tell your team what to do next. That's...
