Why should you care?

ERP reconciliation and CRM pipeline updates require multi-step actions across APIs, which single-shot chat cannot reliably complete.

See it live — copy this example

Paste into an ASP.NET Core 8+ / AgentNest project, then run with dotnet run (set your API keys in user-secrets).

/*
AgentNest — single-shot vs agent loop

[User: "Close Q1 for Contoso"]
   |
   v
Classic AI ----> one paragraph answer (no GL posting)

Agentic AI ----> Planner --> Tool:FetchLedger
                      |--> Tool:ValidateBalances
                      |--> Tool:CreateJournalDraft
                      v
                 structured result + audit trail
*/

What happened?

• The diagram contrasts a text-only reply with a loop that invokes ledger tools.
• AgentNest ERP modules build the right branch per endpoint.

Practice next

1. Sketch your feature as a flowchart: inputs, tools, stop condition.
2. Mark which steps are LLM reasoning vs deterministic C# services.
3. Prototype the happy path as an integration test with mocked tools.
4. Add MaxSteps=5 to your sketch and document what happens at step 6.
5. List three ERP tools your agent would call for month-end close.

Remember

Agentic AI adds planning, tools, and iteration on top of LLMs. AgentNest enterprise flows need stop conditions and auditable tool calls. Choose single-shot chat only for low-risk drafting features.

ERP month-end agent

Finance wants AgentNest to draft journals after variance analysis, not just explain variances.

Outcome: An agent loop with capped steps posts drafts to approval queues with full tool audit.