AI Agent Design: Build Teams, not Bots
Blog post from Vertesia
By 2028, 60% of G2000 organizations are expected to adopt an agent development life cycle to integrate AI agents as collaborative digital colleagues, moving beyond technical automation to a human-centered approach. This shift requires cohesive platforms that support both technical and non-technical aspects, ensuring AI agents are knowledgeable, transparent, and trustworthy team members. Effective platforms should offer low-code and no-code tools to involve non-technical domain experts, standardization for seamless integration, and advanced knowledge integration for AI agents to function as informed colleagues. Organizations must manage change and address resistance to AI-driven processes, while prioritizing consistency, choice, trust, and governance in AI agent design. Trust is emphasized as a critical factor, with platforms providing audit trails and observability to enhance reliability and performance. Vertesia is highlighted as a SaaS platform that facilitates the development and deployment of generative AI applications, aiming to transform AI initiatives into strategic capabilities through its low-code environment and enterprise-grade infrastructure.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 27 | 2,834 | 598 | 185 | -18% |
| LLM | 6 | 3,775 | 638 | 202 | -32% |
| AI Guardrails | 1 | 385 | 124 | 47 | -48% |
| Harness engineering | 1 | 62 | 47 | 35 | -5% |
| Observability | 1 | 2,671 | 527 | 151 | +5% |
| RAG | 1 | 909 | 198 | 86 | -19% |
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