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  "documentTitle": "2025 Six Insights for AI ROI",
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      "text": "Once the agentic portfolio is identified, executives are rapidly faced with the “build versus buy” and “now versus wait” questions. Home-grown agentic solutions require significant effort and investments and can create costly technical debt. When is building an agentic system internally the right decision? What are alternative options? Further, keeping up with the pace of progress in the field of agentic AI is challenging. Why pioneer with high learning costs if the solutions become obsolete within a year? Why not wait for ecosystem partners to provide best-in-class systems proven across multiple companies and maintain a fraction of the cost? These questions should be answered from the perspective of value and competitive advantage. Making a quick move can be the right thing to do but only if the move is part of a clear strategy that justifies the cost of the learning curve. C-suite executives need to move decisively to build in-house systems where a strategic assessment reveals Tier 1 agentic opportunities",
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      "text": "(“Strategic Bets”) - those that can reshape market share, unlock new business models or radically reduce cost to serve. The learning curve is steep, but early benefits in the right areas will outweigh the cost of early mistakes. Companies should mobilize their best resources and partners to create these unique proprietary agentic solutions. Elsewhere, be smart. Tier 2 (“Table Stakes”) or Tier 3 agentic opportunities (“Agentic Automation”) should be pursued through ecosystem partnerships or SaaS platform extensions. Let vendors handle the R&D cost. Avoid unnecessary technical debt and focus on internal energy where it counts.",
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