Anyone who uses autonomous agent loops pays a specific price:
⏳ Latency: the accumulation of thinking times and API calls rather than predictable milliseconds.
💶 Costs: Without proper model tiering (SLMs for routing, Frontier models only for synthesis), reasoning loops unnecessarily burn through the budget.
🛡️ Security risks: Read and write permissions must be strictly separated – an agent in an ERP/CRM system requires completely different protection mechanisms to a read-only RAG.
In our white paper, we’ve summarised the profitability formula for agentic RAG: is the extra effort required to increase task success from 88% to 94% worth it if it causes maintenance costs, latencies and inference costs to skyrocket?
Find out when fixed workflows are worthwhile and where dynamic agent graphs deliver real business value in our new guide.