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 | 3,616 | 759 | 225 | -26% |
| LLM | 6 | 4,317 | 755 | 247 | -18% |
| AI Guardrails | 1 | 429 | 152 | 53 | -25% |
| Harness engineering | 1 | 85 | 60 | 44 | +20% |
| Observability | 1 | 3,007 | 620 | 190 | -1% |
| RAG | 1 | 1,001 | 227 | 103 | -20% |
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