In 2026, shipping AI features has moved from experiment to essential. With tools like Copilot seeing 30% acceptance among users, product managers face new challenges and opportunities
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AI hallucinations can cost businesses up to $67.4 billion annually in wasted time and errors. For agencies, this means client deliverables risk inaccuracies that damage trust and slow down projects
In 2026, shipping AI features isn’t just about tech—it’s about solving real user problems. Take Copilot, for example: 30% of users actively choose it to boost their daily workflows
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Choosing the right business intelligence tool can feel overwhelming, but it doesn’t have to be. In this post, I break down how tools like Metabase and Looker can fit your team’s needs without the confusing jargon
Building trust in enterprise AI means making sure it’s explainable, consistent, and aligned with your business logic. Without this, risks like hallucinations or no audit trail can throw off crucial decisions
AI hallucinations aren’t just tech glitches—they can cost agencies a whopping $67.4 billion in faulty client deliverables each year. When your reports or creative briefs get derailed by AI errors, you could waste hours double-checking every detail
Shipping AI features in 2026 means hitting new highs in user engagement and adoption. Take Microsoft’s Copilot, for example