Weekly updates
Insights on AI, customer experience, and growing your business with HAPP.
Geopolitical conflicts reshape AI risk: sanctions, supply chains, and API dependency make traditional risk models obsolete. How to think about sovereignty and resilience.
Next step for HAPP: media intelligence (understanding and processing media in conversations) and dynamic AI model selection. How we're expanding cognitive capabilities beyond infrastructure.
Most firms declaring an 'AI strategy' have built processes on dependency on a few external model providers. That’s infrastructure dependency—and it defines your level of control.
January 2026 platform updates focused on control, integration, and stability—not new features. Messenger, 4 CRMs, behavior settings, async tools, system tokens.
Agentic systems are live in production; governance models have not caught up. The structural gap between AI execution and institutional control is now operational reality.
AI has become the first point of contact in many enterprises. How latency, quality, and escalation shift—and why conversion is the hidden KPI.
AI governance often appears only after a failure. Why enterprises delay it, why that no longer works, and how to build governance into the system from the start.
NPS and CSAT stay stable while conversion drops. The gap is the measurement model: AI shifts resolution from conversation to execution. How to refocus CX on execution, not perception.
Zero-click is already a fact: over 65% of Google queries in 2024 ended without a site visit. How LLM search and AI intermediaries redistribute customer conversations—and why direct channels and execution layers matter.
By 2027, companies that still judge AI by 'intelligence' will hit a wall. The winners treat AI as infrastructure: reliable, observable, integrated. Here's why.
After integrating AI into CRM, helpdesk, or order flows, the real question is which new data paths and access points you created—and whether you can see and control them.
In 2025 ROI is the metric that matters. Where enterprise AI assistants actually pay off: e-commerce, support automation, internal copilots, and agentic systems.
Showing 12 of 24 articles
