Agentic AI

Planning & Reasoning

Planning & Reasoning describes an AI agent's ability to decompose complex tasks into sub-steps, identify dependencies, and determine an optimal execution sequence. The agent develops an action plan, executes it step by step, and dynamically adapts it when conditions change.

Why does this matter?

For mid-market companies, Planning & Reasoning means AI agents can structure entire projects, not just solve individual tasks. An agent can plan an offer comparison, identify missing data, acquire it, perform the analysis, and create a structured report — all independently and in the right order.

How IJONIS uses this

We use LangGraph state machines with ReAct loops (Reasoning + Acting) and Tree-of-Thought strategies for complex planning tasks. The agent creates an explicit plan that is logged and traceable. When plans change, reasons are documented — full transparency for audits.

Frequently Asked Questions

How reliable is AI agent planning?

For clearly defined domains with manageable complexity, plans are highly reliable (>90% success rate). For highly complex, novel tasks, we combine planning with Reflection and Human-in-the-Loop checkpoints to maximize reliability.

Can the agent change its plan during execution?

Yes, dynamic replanning is a core feature. When an intermediate step fails or new information becomes available, the agent automatically creates an updated plan. Plan changes are logged and can be traced through the dashboard.

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