Tutorials ASP.NET Core with Agentic AI Tutorial

AI ERP Assistant — Complete Guide

AI ERP Assistant — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ASP.NET Core with Agentic AI Tutorial on Toolliyo Academy.

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ASP.NET Core with Agentic AI Tutorial · Lesson 93 of 100

AI ERP Assistant

AI basics ✓Agents

Agents · 2 — Build · ~10 min · Module 10: Enterprise AI Projects

What is this?

AI ERP Assistant helps finance users explain variances, draft journals, and query GL status in natural language. AgentNest ERP assistant is read-heavy with draft postings routed to approval.

Why should you care?

Month-end crunch generates hundreds of variance questions — assistant reduces controller interrupt requests to IT.

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.Api/Controllers/ErpAssistantController.cs
[ApiController]
[Route("api/erp/assistant")]
[Authorize(Policy = "FinanceRead")]
public sealed class ErpAssistantController(ErpToolAgent agent, IJournalDraftService drafts) : ControllerBase
{
    [HttpPost("chat")]
    public Task<string> Chat([FromBody] ErpChatRequest req, CancellationToken ct) =>
        agent.AskAsync(req.Question, ct);

    [HttpPost("journal/draft")]
    [Authorize(Policy = "FinanceDraft")]
    public async Task<JournalDraftId> CreateDraft([FromBody] JournalDraftRequest req, CancellationToken ct) =>
        await drafts.CreateFromAgentAsync(req, User.Identity!.Name!, ct);
}

What happened?

  • Chat uses ErpToolAgent with GlPlugin tools; journal draft requires FinanceDraft policy and creates approval queue item — no direct post.
  • Follow the steps below — typing the code yourself is the fastest way to learn.

Practice next

  1. Connect GlPlugin to ERP read replica.
  2. build IJournalDraftService writing PendingApproval rows.
  3. Eval finance golden questions with SQL-backed answers.
  4. Add Excel export of variance analysis steps.
  5. Wire ERP Blazor panel to chat with conversation thread id.

Remember

ERP assistant combines NL chat and draft journal endpoints. Separate read and draft authorization policies. GL tools ground answers; drafts await approval.

Month-end variance chat

Controller asks why travel GL line spiked; agent cites balance tool and top transactions.

Outcome: Draft journal suggested; controller approves in ERP workflow — full audit trail.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain Concepts in the context of ASP.NET Core with Agentic AI.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Concepts…
Mid Detailed
What are common mistakes teams make with LLMs when using ASP.NET Core with Agentic AI?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define LLMs in p…
Senior Detailed
How would you debug a production issue related to RAG in a ASP.NET Core with Agentic AI application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define RAG in pl…
Junior Detailed
Describe a real-world scenario where Production mattered in a ASP.NET Core with Agentic AI project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Productio…
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ASP.NET Core with Agentic AI Tutorial
Course syllabus

ASP.NET Core with Agentic AI Tutorial

Module 1: AI and Agentic AI Foundations
Module 2: ASP.NET Core AI Fundamentals
Module 3: Semantic Kernel
Module 4: AI Agents and Multi-Agent Systems
Module 5: RAG and Vector Databases
Module 6: AI Security and Observability
Module 7: Cloud-Native AI and DevOps
Module 8: AI SaaS and Enterprise Systems
Module 9: AI System Design and Architecture
Module 10: Enterprise AI Projects
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