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Home/Resources/Documentation/AI & Automation

AI & Automation

AI Agents — Quick Start

AI & Automation6 min readUpdated 2026-03-03
Documentation

Getting Started

NGSPL Platform OverviewAccount Setup & ActivationUser Roles & PermissionsDashboard & Navigation GuideYour First Module Setup

Business Software

ERP Modules BasicsCRM — Setting Up Lead PipelinesHRMS — Onboarding, Attendance & PayrollInventory — Items, Units & Reorder LevelsBilling & POS — Creating Your First BillSetup Workflow Approvals

Industry Software

Restaurant POS — Menu, Tables & KitchenHotel — Reservations & Room StatusSchool ERP — Admissions, Attendance & FeesCollege & University — Semester & ExamsHospital — OPD & IPD RegistrationClinic — Appointments & Prescriptions

AI & Automation

AI Agents — Quick StartAI Chatbots — Knowledge Base & LaunchProcess & Workflow AutomationAI Lead Qualification Flows

Cloud & Integrations

Cloud Deployment BasicsAPI & Webhook Integration GuidePayment Gateway SetupBackups & RecoverySecurity Best PracticesDeployment & DevOps for Developers

Troubleshooting

Fix Login & Access IssuesResolve Role & Permission ErrorsData Synchronization IssuesNotifications Are Not SendingIntegration & API ErrorsSlow Pages & Browser Performance

Create your first AI agent, give it a role and a knowledge source, then test it safely.


What is an AI agent?

An AI agent is a configurable assistant that performs a defined job — answering, qualifying, drafting or notifying — using your data as its source of truth.

Create an agent

  1. Open Automation, then AI Agents.
  2. Name the agent and choose its role — Support, Sales or Operations.
  3. Describe its instructions in plain language.
  4. Connect a knowledge source: your documentation, FAQs or product catalogues.
  5. Save and run a test in the sandbox.

Tip

Keep the instruction short and specific. A focused agent is far more reliable.

Review before releasing

AI makes mistakes. Test edge cases, set a confidence threshold for automatic answers, and route anything uncertain to a human.

  • Test at least five realistic questions.
  • Check answers against your current pricing and policy.
  • Route low-confidence responses to a human agent.

Warning

An agent is only as good as its knowledge base — keep the source data current.

Publish and monitor

  1. Move the agent to Production.
  2. Connect a channel: website chat, WhatsApp or portal.
  3. Watch the conversation log for question types.
  4. Update the knowledge source from the reports.
NextAI Chatbots — Knowledge Base & Launch

Related guides

AI Chatbots — Knowledge Base & LaunchBuild a knowledge base, train a chatbot and publish it on your website or portal.Read guideAI Lead Qualification FlowsLet AI score, route and nurture your leads before a human ever picks up the phone.Read guideAI Chatbots — Knowledge Base & LaunchBuild a knowledge base, train a chatbot and publish it on your website or portal.Read guide

Need more help?

Our support team can walk through this guide with your account, or help you plan customisations for your workflows.

Open a support requestContact the team

On this page

  • What is an AI agent?
  • Create an agent
  • Review before releasing
  • Publish and monitor