The executive reality: Why most contact centers fail to scale AI

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AI has become central to digital contact center transformation. Organizations are investing in chatbots, copilots, and automation tools to improve customer experience (CX), increase efficiency, and reduce operational costs.

Operationalizing Agentic Commerce: Retail Workflows Delivering Measurable ROI Today

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From recommendation engines to automated pricing dashboards, AI-powered tools have become common in retail. But agentic commerce is shifting the landscape again. AI agents are now doing tasks for shoppers and retailers, like helping them find products, making purchases, and handling post-purchase tasks. 

A CXO playbook for fixing what’s broken in the digital contact center

A CXO playbook for fixing what’s broken in the digital contact center

Enterprises have invested heavily in modernizing contact centers. Cloud migrations, omnichannel platforms, bots, and analytics were meant to transform customer service. 

Yet for many organizations, the results haven’t matched the investment. 

Costs continue to rise. AI pilots stall. Customer experience remains inconsistent. Leadership teams find themselves reacting to problems instead of staying ahead of them. 

Why 2026 is the breakout year for AI-powered CRM and data platforms in P&C

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The insurance industry has spent the last decade digitizing surfaces. For Property & Casualty (P&C) carriers in particular, rising claims severity, catastrophe volatility, and underwriting margin pressure are exposing the limits of surface-level digitization. What is different - heading into 2026 is where transformation is happening. AI is moving inside operational cores: CRM decisioning layers, data platforms, and infrastructure orchestration. 

The rise of AI-native operations: How L&A enterprises are unlocking 30–40% efficiency gains through CloudOps and actuarial modernization

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The insurance industry rarely changes overnight. Whether it is regulatory complexity, product proliferation, legacy infrastructure drag, or growing expectations for hyper-personalized experiences, it accumulates pressure quietly.  

For Life & Annuities (L&A) carriers, that pressure has reached a tipping point. Operating models designed for stable actuarial cycles are now expected to support near real-time decisioning, continuous risk recalibration, and always-on digital ecosystems.  

Reimagining IEP with Evidence AI Analyst: From siloed tasks to intelligent orchestration

Reimagining IEP with Evidence AI Analyst: From siloed tasks to intelligent orchestration

Integrated Evidence Planning (IEP) has never lacked rigor. What it has lacked is coherence. 

For years, IEP has been executed through structured templates, static plans, and cross-functional discussions focused on aligning studies, analyses, and publications to an asset milestone. The intent was sound. The execution was disciplined. Yet outcomes often fell short when evidence met real-world decision-making.