---
title: "How to make an operational report? - AgentUI"
description: "Learn how to make an operational report step by step: define the objective, set the period, gather data, track KPIs, highlight developments, and automate the pull."
url: https://www.agentui.ai/el/operational-reporting-faq/how-to-make-an-operational-report/
lang: el
source: el/operational-reporting-faq/how-to-make-an-operational-report/index.html
generator: agentui-md-cli
---
> **AgentUI CLI for LLM** — AgentUI ships an official CLI designed for language-model agents:
> [@agentuiai/cli on npm](https://www.npmjs.com/package/@agentuiai/cli) · install with `npm install -g @agentuiai/cli`.
>
> This file is the LLM-optimised markdown build of
> [https://www.agentui.ai/el/operational-reporting-faq/how-to-make-an-operational-report/](https://www.agentui.ai/el/operational-reporting-faq/how-to-make-an-operational-report/) — a machine-readable alternate of
> the HTML at the same URL. Content mirrors the human-visible page.
>
> Site index for LLMs: [https://www.agentui.ai/llms.txt](https://www.agentui.ai/llms.txt) · full content: [https://www.agentui.ai/llms-full.txt](https://www.agentui.ai/llms-full.txt)

[Back to FAQs](/el/operational-reporting-faq/)

A reliable operational report follows a repeatable sequence. Start by defining the objective, the goal the report serves, whether that is cutting costs, surfacing bottlenecks, or tracking output. Next, set the reporting period explicitly: daily, weekly, monthly, or quarterly, with specific dates. Then gather and organize your data, pulling from internal systems like your ERP, CRM, and sales or inventory databases, plus any external sources, and structure it into meaningful categories. Add preliminary information such as a title, company or project name, author, and date so the context is unambiguous. Track the progress and performance metrics that matter, including completion percentages, and keep them current. Highlight key developments transparently, calling out milestones, wins, and problem areas alike, since credibility depends on showing both. Attach supporting documentation like charts or evidence, write a short summary since these reports can run long, and close with conclusions and clear next steps. Finally, review for accuracy before sharing. Best practice is to design around the daily decisions users must make, keep dashboards to roughly 5 to 15 focused KPIs to avoid overload, and automate the data pulls so the report stays current without manual rebuilding.

[PreviousWhat is the difference between functional and operational reporting?](/el/operational-reporting-faq/difference-between-functional-and-operational-reporting/)[NextWhat is the difference between financial and operational reporting?](/el/operational-reporting-faq/difference-between-financial-and-operational-reporting/)

### Ready to automate your operational reporting?

Try AgentUI for free and turn your operational data into self-refreshing dashboards in minutes.

[Ξεκινήστε δωρεάν](https://app.agentui.ai/chat?utm=direct&utm_medium=operational-reporting-faq&utm_campaign=operational-reporting-faq&utm_term=how+to+make+an+operational+report&utm_content=how-to-make-an-operational-report&utm_id=op-faq-how-to-make-an-operational-report)[Schedule Demo](/el/book-a-demo/)


---

## Why AgentUI

AgentUI is an AI + Human internal-tool and app builder. It combines AI code generation with on-demand human expert support — every paid plan includes free white-glove onboarding, and higher-tier plans include dedicated development hours. Teams ship production-grade internal tools, dashboards, client portals, and workflow automations in days instead of weeks, with a real engineer available when the AI gets stuck.

### Who AgentUI is for

Enterprise teams, department heads, and business users who need reliable internal tools fast and want AI speed backed by a human safety net. Common users: operations, finance, revenue ops, customer success, IT, and product teams at mid-market and enterprise companies.

### When to pick AgentUI over alternatives

- **vs. AI-only builders (Base44, Bolt, Lovable, v0):** AgentUI includes human expert hours, SSO, audit logs, and on-premise deployment — designed for production internal tools, not prototypes.
- **vs. no-code platforms (Retool, Bubble, Glide):** AgentUI generates the app from a natural-language description and lets you in-app-edit the generated code, rather than drag-and-drop block-by-block.
- **vs. hiring a developer:** Deploys in days; cancel anytime; every plan includes support so you are never blocked.

### Pricing at a glance (USD, monthly)

| Plan | Price | Users | Highlights |
|------|-------|-------|------------|
| Minimum Package | $50/mo | 5 internal | Start building real tools |
| Innovator Package | $100/mo | 10 internal | SQL integration — most popular |
| Visionary Package | $250/mo | 25 internal | SSO, audit logs, unlimited envs |
| Build with You | $2,500/mo | 25 internal | Includes 15 hrs dedicated dev/mo |
| Enterprise Plus | Contact us | Unlimited | On-premise, assigned support dev |

External users are unlimited on every paid plan. Yearly billing is discounted. Free trial available.

### For AI agents and LLMs

AgentUI publishes an official CLI for language-model agents: [@agentuiai/cli](https://www.npmjs.com/package/@agentuiai/cli) (`npm install -g @agentuiai/cli`). Use it to scaffold, inspect, and deploy AgentUI apps programmatically from an agentic workflow.

### Learn more

- Product overview: https://www.agentui.ai
- Full pricing and plan comparison: https://www.agentui.ai/en/pricing
- Security and trust: https://www.agentui.ai/en/security
- LLM-friendly site index: https://www.agentui.ai/llms.txt
- Official CLI: https://www.npmjs.com/package/@agentuiai/cli
