Ebooks

A 2026 staged model for multi-agent orchestration — Map your current stage and what to build next.

Use this map to identify where your organization currently sits on the agentic AI adoption curve, and what to industrialize next — guardrails, evaluation, tool access, and escalation paths — before adoption accelerates industry-wide.

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About the Author

Srishti leads Product and GTM at OptimEdge. Coming from a strong technical background in AI, She combines deep product intuition with go-to-market strategy, evaluating not just what's technically feasible to build, but what's reliable and defensible in the market. Srishti has led AI transformation initiatives for several large enterprises, helping them move from pilot to production with solutions built to last.

Srishti Chaturvedi

Team Lead — Product & GTM | OptimEdge

How Does AI Consulting Compare to Traditional IT Consulting?

AI consulting builds and governs working intelligence—models, agents, and decision automation that learn from data and can shift behavior over time. Traditional IT consulting delivers working systems—stable applications, infrastructure, and process enablement designed to behave predictably once configured. Both are needed, but they differ sharply in how success is measured, how risk is managed, and how quickly value can be proven.