Would you like to save around 13 hours a week on tasks? Implement AI tools into your workflows. Recent studies show that professionals dedicate almost 3 hours to chores that can be automated (GoTo). Being at the top of the list, manual reporting takes time but often fails to deliver comprehensive results. That’s when AI reporting software becomes the right addition to your toolset. With artificial intelligence embedded in operations, companies can make data-driven decisions, accurately predict trends in customer behavior, and optimize internal processes.
In this article, we will examine the importance of automation and review the best AI for report writing that have proven their worth and expertise. Let’s dive in!
Criteria for Choosing the Best Reporting Tools
Before we discuss the report-generating tools, I suggest that we answer the main question: What should you consider when assessing the available options? Features are only a fraction of what makes the app the right fit, so what are the criteria?
I have prepared a list of requirements & questions that will help you navigate through the platforms with more confidence:
- Data connectivity: Can the tool extract and combine data from CRMs, ERPs, cloud drives, and third-party sources? Ensure the tool can merge structured and unstructured inputs to provide a full picture.
- Automated insights & forecasting: Does the AI reporting app offer advanced functionality? Look for tools that use machine learning to detect trends, flag anomalies, and suggest next steps.
- Access controls & collaboration: Does the tool support role-based access, comments, and collaboration? Ensure the platform supports secure and flexible sharing.
- Scalability & speed: How fast is the AI report generator? Can it handle expanding datasets, generate reports on demand, and provide insights as the company scales?
- Ease of use: Is the interface intuitive enough for non-technical users? Are there any guides, online support, or onboarding? Prioritize tools that work for professionals from different departments and levels.
These 5 steps will help you narrow down the list of automated reporting software and get closer to the variants that not only fit your business needs but can optimize existing workflows and provide valuable insights.
Key Features to Look for in AI Reporting Tools
Now that you know the criteria, we can move to the next stage and discuss the functionality of effective software. What separates the best reporting tools from the rest? Let’s break it down feature by feature.
AI-Driven Insights & Predictive Analytics
Prioritise AI reporting tools that combine historical data with predictive insights. They can help you uncover patterns, model future outcomes, and proactively respond to shifts in customer behavior or revenue trends. With the help of machine learning models, these systems learn and refine predictions over time, turning broad data into valuable foresight.
Consider tools that offer anomaly detection, scenario modeling, explainable forecasting models, or churn probability scoring.
Interactive Dashboards & Visualizations
Does the app let you interact with reports or just view them? Interactive dashboards encourage users to click, filter, compare, or zoom into specific segments. Visual elements such as heatmaps, scorecards, funnel charts, and geographic maps give data meaning, but interactivity ensures it is easy to digest and brings value to each user.
Tip: Look for automated report generation software that offers multi-level filtering options, expandable sections of insights, drag-and-drop modules, and embedded drilldowns.
Real-Time Data Processing & Live Dashboards
Want to know what’s best about live dashboards? They give you the power to act in the moment. With real-time processing, dashboards reflect live performance metrics, which is perfect for marketing analytics, customer support, or sales activity monitoring. Data is pulled, processed, and visualized instantly or at scheduled intervals, ensuring stakeholders always get the latest information.
Tip: Prioritize automated reporting tools that offer both scheduled refresh and on-demand sync to balance performance and data timeliness.
Automation & Data Integration
Effective reporting begins with data, which brings us to the next important feature: automation & data integration. The best AI for report writing reduces manual work by automating data collection from multiple sources and loading it into smart dashboards.
I recommend choosing software with native connectors and API integrations to reduce dependencies. Why? Native integrations ensure faster data sync, fewer manual interventions, and stronger version compatibility.
Natural Language Query
Ever wondered how to remove friction from the reporting process? I have the answer to your question: natural language query or NLQ. It lets users ask questions and receive data-backed visualizations or summaries. It can be a great choice for busy executives, client-facing teams, or cross-functional roles.
NLQ works best when it is trained on your business terminology. I recommend prioritizing tools that offer customizable language libraries.
Intuitive Interface
An intuitive interface makes it easy to navigate dashboards, build reports, and customize visualizations. Prioritize reporting software that offers drag-and-drop editors, guided setup flows, and clean, accessible layouts designed for both technical and non-technical users.
After all, the best tool is one that empowers everyone without extensive training or onboarding.
10 Best AI Report Generators for 2025
So, what are the best AI report-generating tools? With so many options to choose from, it is hard to identify the best picks for your business. In this section, I have picked the top solutions tailored to various needs. You will find apps with advanced AI features, tools that are easy to integrate, and tools that scale best.
|
Tool Name
|
Key Features
|
Automation Level
|
Ease of Integration
|
Scalability
|
|---|---|---|---|---|
1. Sembly AI
Most reporting tools start with data. Sembly starts with the conversation. It listens and analyzes your discussions to generate comprehensive documents, including reports, based on the meeting content. Email marketing, healthcare sync insights, performance reviews, or sales activity reports are just a few examples of the platform’s potential. Sembly does not stop at meeting transcriptions; instead, it transforms raw data into structured and actionable details. It seamlessly integrates with many popular platforms such as Zoom and Microsoft Teams, ensuring your reporting stays effective, accurate, and fully automated.
Pros
- Fully automated reporting: Sembly generates structured business reports based on information from your meetings.
- Real-time meeting intelligence: The app captures, transcribes, and analyzes conversations to extract decisions, tasks, and summaries.
- Integration with most meeting platforms: Sembly works natively with Zoom, Microsoft Teams, Google Meet, Webex, and more.
- Automations: The platform offers native integrations with collaboration tools, documentation & project management apps, CRMs, and analytics software.
Cons
- Advanced AI functionality requires a paid subscription
Best for
- Sales teams that are looking to replace manual activity logs and pipeline updates.
- Project managers & agencies that need to generate post-meeting reports for internal briefings, client updates, onboarding checklists, or milestone reviews.
- Email marketers who want to document campaign strategy calls, brainstorming sessions, and stakeholder syncs.
- Healthcare & compliance teams that need to create HIPAA-friendly conversation-based reports with high transcription accuracy and full audit trails.
2. Simplified AI
Simplified is a solid automated reporting tool for small teams or businesses that need to turn social media data into clear reports. The app measures up to 12 different metrics, including clicks, impressions, reactions, engagement, video plays, and more. All reports are adjustable: professionals can choose which accounts they need to check, metrics to focus on, and filter the timeframe.
Pros
- User‑friendly design: The app has a minimal learning curve for social media managers.
- Strong focus on social media metrics: Impressions, clicks, reactions.
- Easy export: The platform allows users to export their reports in PDF/PNG.
Cons
- Limited functionality beyond social metrics
- Customization is restricted
- Fixed export formats
Best for
- Social media managers or content creators
- Small content marketing agencies and freelancers
- Teams focused solely on social media performance
3. Glean
Glean is an enterprise-grade software that helps you generate reports by pulling data and knowledge from multiple sources. The app uses advanced artificial intelligence to surface the most relevant answers, visualize key trends, and improve reporting workflows across departments. Overall, it is a solid AI report writer for companies that need to track their operational performance, knowledge bases, and enterprise-wide analytics.
Pros
- Enterprise-wide data retrieval: The platform connects with tools such as Google Drive, Slack, Jira, and Confluence to extract information.
- Unified data across sources: It combines unstructured data from slides, spreadsheets, and internal documentation in a specific report.
- Conversational reporting: Glean lets users ask questions and provides answers with visualizations and narrative context.
- High security levels: The tool is built with data governance and user permission controls.
Cons
- Strong focus on enterprises, so the app may not work for startups or solo professionals
Best for
- Large or mid-sized organizations
- Strategy, operations, analytics, or knowledge management departments
4. Domo AI
Domo AI is an enterprise-level AI reporting tool that specializes in real-time data analytics and visualization. It extracts information from spreadsheets, databases, and cloud tools and syncs it into one place, ensuring professionals always work with up-to-date data. The app lets users set alerts, share dashboards, or schedule reports, and does not require technical skills.
Pros
- Unified data infrastructure: The tool analyzes information spreadsheets, databases, and cloud apps to create a single source of truth.
- Live & automated reporting: Domo can generate automated, real-time reports that update once the underlying data changes.
- Alerts & scheduled reports: Professionals can schedule reports for stakeholders and set up automatic alerts for key metrics.
Cons
- Domo can be complex to set up, especially when professionals need to integrate many data sources.
Best for
- Businesses that have multiple data systems and need to unify them
- Teams that want live, automated reports
- Marketing, sales, and operations teams that want to analyze self‑service data
- Professionals who need scheduled reports and alerts
5. Whatagraph
Do you need a tool to unify all marketing data into a single platform? In this case, I may recommend Whatagraph. It auto-generates performance summaries, highlights key insights, and provides details on trends based on the chosen campaign, country, or product. With more than 50 native integrations, you can also centralize your social media, ads, SEO, and more without using any additional software.
Pros
- Integration list: The app offers 50+ integrations, making it easy for professionals to track ads, social media platforms, or SEO results.
- Actionable insights: Whatagraph uses its IQ engine to generate summaries and highlight key details.
- Flexible report design: Professionals have access to pre-built templates, drag‑and‑drop visualizations, and custom themes.
- Easy sharing: The app lets users share reports via email, Slack, live links, or export to BigQuery or Looker Studio.
Cons
- The tool may not suit heavy internal BI across finance, operations, or complex databases
Best for
- Marketing teams and agencies that need branded reports from multiple sources
- Content creators who want to combine marketing campaign data
- Clients or stakeholders who prefer simple, visual reports
6. Gong
Gong is a specialized AI for report-making designed for customer-facing teams. It analyzes trends across pipelines, accounts, and representatives’ behavior to detect threats, health signals, and coaching opportunities. Gong also supports model governance and integration with external models, so insights remain transparent and extensible.
Pros
- Conversational intelligence: The platform provides professionals with context-aware answers, forecasts, and recommended next steps & actions.
- Unified signal engine: Gong can combine data from calls, CRM, and engagement into one revenue engine to highlight trends and risks.
- Model transparency & governance: The app lets users understand the reasoning behind AI predictions and change models if needed.
Cons
- Primarily focused on sales and customer-facing teams
- Insights depend heavily on the quality and consistency of input data
Best for
- Revenue, sales, and RevOps teams
- Teams with multiple data sources
7. Beautiful AI
Is your team looking to turn content into visually appealing decks? In this case, consider beautiful AI. The app lets professionals share ideas, numbers, and visuals, and its Smart Slides format ensures consistent layout, spacing, and branding as they edit. The app helps to make slides, including charts and visual elements, look good while creative teams focus on content and storytelling.
Pros
- AI layout & design: Smart Slides automatically adjust spacing, alignment, and styling.
- Draft generation: Specialists can generate an entire presentation draft within seconds with AI prompts.
- Branding & customization: The app lets teams lock slides or design elements to strengthen brand consistency.
- Seamless integrations: Beautiful AI integrates with PowerPoint, Slack, Dropbox, Webex, and supports exports to PPT, PDF, Google Slides, etc.
Cons
- Advanced customization of visuals or complex data models requires manual efforts
Best for
- Marketers, finance leads, agencies, and teams who need visual reports
- Teams and professionals who would like to automate internal content creation tasks
8. ClickUp
ClickUp is a complex project management platform that helps teams plan, organize, track their work, visualize results and manage risks. With this app, your professionals can view any data they need: from campaign performance to team productivity. Dashboards are interactive, so it is easy to see the tasks behind your charts. Users can also schedule AI reports, resize cards, filter data across widgets, and share important details with their teams.
Pros
- Scheduled sharing & exports: Clients can export dashboards as PDFs and schedule automated email delivery to stakeholders.
- Widget variety: ClickUp offers cards for time tracking, calculation fields, burnup/burndown charts, and more.
- Drill-down options: This AI reporting tool lets users click any chart or widget slice and jump to the underlying tasks or data for deeper context.
- Unified visibility: Dashboards can pull statistics from across Spaces, Folders, and Lists to provide users with a consolidated view.
Cons
- Dashboard usage and card limits depend on your plan
- Dashboards focus on visualizing your ClickUp data, not deep external BI
Best for
- Teams that already use ClickUp in their workflows
- Project managers, operations leads, or department heads who need to visualize their projects, workload, and progress
9. Akkio
Are you interested in generative reports? Akkio may be a good place to start. The tool analyzes the project’s objectives, past performance, and data structure to match results with a particular use case. Professionals can also white-label the output, share it with clients, and maintain live data connections, so reports only reflect the most recent information.
Pros
- Instant report generation: The platform helps users automatically create dashboards based on their data and goals within minutes.
- Live data connections & sharing: Professionals can connect reports to their data sources and share them with clients.
- White labeling: Akkio lets its users tailor branding, provide client access, and deliver reports as a service.
Cons
- The app requires a proper data connection and structure
- Akkio may not replace full BI platforms for highly custom workflows
Best for
- Marketing or analytics agencies that need to create client dashboards quickly
- Projects or clients where branding and live data access are critical
10. Qlik
Qlik is an enterprise analytics platform that helps professionals unify data and deliver actionable insights. The platform supports predictive AI, embedded analytics, and real-time reporting. It also emphasizes data integration and governance, ensuring that insights are based on high‑quality data. Overall, Qlik is a good choice for teams that want to explore data, build visualizations, and ask questions using Qlik Answers.
Pros
- Comprehensive data integration: Qlik connects numerous data sources and uses its associative engine to detect hidden connections across datasets.
- Built-in AI: The app also supports predictive AI, automated insights, and Qlik Answers.
- Governed analytics: Data quality, governance, and model transparency are what Qlik focuses on, so decisions rely on reliable data.
Cons
- Deploying Qlik at a large scale can be expensive or require a lot of resources
- Users may need training or experience
Best for
- Organizations that need enterprise-level BI with governance and AI augmentation
- Teams that need self-service analytics for business users
- Use cases that require predictive analytics, natural language insights, or embedded AI
How AI Reporting Tools Benefit Businesses
Now that you are settled with the top 10 AI reporting tools, I suggest we discuss the benefits you receive. Below are some of the key advantages of using artificial intelligence for business reports.
Cost Reduction
Cost reduction sets good AI reporting tools apart from the great ones. Think of it: professionals spend less time building reports, reduce costly errors from outdated or inconsistent data, and make better use of analytics. For growing businesses, this means fewer obstacles and better resource allocation.
In practice, around 90% of company executives recognize the role of AI software in reducing operational costs (BCG). These savings result from smarter workflows and improved decision-making that is based on data instead of assumptions.
Improved and Data-Driven Decision-Making
Gut instinct is good, but when a company’s success is at stake, data-driven insights lead to better results. Top AI reporting tools evaluate massive sets of available data, flag potential issues, and surface patterns within seconds, enabling professionals to make decisions based on visible facts.
Furthermore, AI report generation tools minimize human errors that can be costly and damaging to business. They automate data entry and standardize formats, improving the results.
Enhanced Productivity
A good AI tool for report writing enables professionals to shift their focus from manual data analysis to interpreting insights, identifying growth opportunities, and taking faster action. There is no need to dedicate time to formatting, ensuring accuracy, or switching between data sources to visualize progress.
As a result, collaboration between departments and teams improves as every employee works with the same real-time data. Instead of waiting days for a custom report, decision-makers get what they need in minutes.
Scalability for Growing Enterprises
Traditional reporting tools often struggle with new data sources, larger volumes, or changing business models. Unlike them, AI software reporting tools scale with you. They analyze, combine, and format your data automatically, so the team can focus on the bigger picture.
The numbers confirm the reality: Around 87% of professionals believe that AI helps them scale their operations (TechClass). What does it mean? As AI automates more reporting tasks, your team can scale without proportional cost increases
Choosing the Right AI Reporting Tool
So, how do you choose the best AI reporting app for your business? What are the key aspects you should consider before committing? In this section, I have prepared 3 key points with some questions that can help you find the right software.
1. Consider Business Size & Operational Needs
The first step to choosing the right AI reporting software is to consider scale. Basic tools may work for small teams or startups, but enterprises often require apps that support role-based access, multi-departmental collaboration, and governance controls. The key is to choose a solution that aligns with your current size and can potentially grow with your organization.
Ask yourself:
- How many users and departments will use the tool?
- Do you need centralized dashboards or role-specific views?
- Can the tool scale with your team? How flexible are the scaling options?
2. Analyze Budget Considerations
AI reporting tools range from free, limited plans to costly enterprise licenses. Your next step in choosing the app is to understand that the total cost of ownership is key to avoiding hidden expenses.
Here are a few questions that can spark ideas:
- What’s your budget range for AI reporting tools this year?
- Are there free trials or freemium versions to test before committing?
- What’s included in the pricing: integrations, support, and usage limits?
- Will you need to pay extra for customization, API access, or training?
- Does the ROI justify the cost within the first 3-6 months?
3. Find a Balance Between Usability & Advanced Capabilities
The next step is to check the ease of use. It is especially critical for teams of non-technical professionals or when skill sets vary. Prioritize reporting software with intuitive dashboards, drag-and-drop builders, and AI workflows. At the same time, check whether the app offers some access to custom formulas, SQL editors, or embedded analytics.
Here are some questions to ask during this stage:
- Can non-technical users build reports, or do they need extensive training?
- Does the platform support advanced queries (SQL, APIs)?
- Is there a learning curve or onboarding options?
4. Ensure Integration with Existing Tools
An AI reporting tool is only as good as the data it connects to. Ensure your platform supports native integrations with your CRM, ERP, spreadsheets, and marketing platforms. Check whether it can handle real-time sync, merge information from multiple sources, and perform data deduplication.
Traditionally, here are a few questions you can ask yourself during this stage:
- Can this reporting software pull historical and real-time data from your CRM?
- Can it sync with both cloud and on-premises systems?
- Can it combine data from multiple sources to create comprehensive but structured reports?
5. Evaluate Security, Compliance & Governance
Good report generation tools should be compliant with SOC 2, GDPR, or HIPAA at the very least. Look for access controls, audit trails, data encryption, and role-based permissions.
If you are unsure where to start, consider answering these questions:
- Does the tool comply with major standards such as SOC 2 Type II, ISO 27001, or GDPR?
- Where is the data stored, and how is it encrypted?
- Does the platform offer role-based access controls for sensitive data?
- Can you audit user activity and report access logs for compliance purposes
A Checklist for AI Reporting Tools
For your convenience, I have also added a comprehensive PDF checklist with different aspects to consider. You may download it and assess the reporting software you are considering for your business.
Wrapping Up
The main challenge with AI for report writing is finding the app that aligns with the way your team thinks, works, and grows. The good news? You don’t have to figure it all out at once. Start by asking the right questions, assessing your business needs, and testing the options to find the best solution. Ensure you do not add another app to the stack, but help your team get valuable insights to make better decisions.
In this article, I have picked the top 10 reporting tools that match various needs: from social media to high-level enterprise reports. I hope choosing the next software no longer feels like a challenge, and you can navigate options with confidence. Good luck!
FAQ
What is an AI reporting tool?
An AI reporting tool uses artificial intelligence to automatically collect, analyze, and present information in structured reports. It can identify trends, generate insights, and update dashboards in real-time.
As a result, it reduces manual work and improves accuracy and employee productivity.
How can AI improve the quality of business reporting?
AI can process large volumes of data, detect patterns, and generate insights instantly.
Here is how AI reporting tools can influence business results:
- Early detection of data anomalies
- Automation of repetitive reporting tasks
- Creation of actionable insights from complex datasets
- Generation of customized reports
Can AI reporting tools work with real-time data?
Yes, most advanced AI reporting tools integrate with CRMs, ERPs, and BI platforms to extract real-time data.
Here is what you can do with AI:
- Monitor performance metrics live
- Receive alerts when KPIs or key metrics shift
- Generate live reports based on current conditions
Are AI reporting solutions expensive?
Many platforms offer scalable pricing based on usage or a size of your team. While enterprise-grade tools come at a higher cost, AI reporting generally reduces total expenses. It minimizes time spent on reporting and eliminates the need for extra analytics staff.
What are the advantages of AI reporting over manual reporting?
Here are top 4 advantages of AI reporting tools over traditional manual reporting:
- Speed: AI reports are generated in seconds or in real time, while traditional reports take hours.
- High accuracy: AI reports eliminate human error and provide quality results regardless of the dataset size.
- Insights: AI highlights trends and identifies patterns a human can miss.
- Scalability: AI reporting apps are suitable for growing datasets and teams.
What should you consider when choosing AI reporting tool?
Here are a few questions you can ask yourself when you are considering multiple AI reporting tools:
- Does your automated report generation software support integrations with your current tools such as CRM, ERP?
- Is the interface user-friendly for non-technical teams?
- Are compliance and data security standards in place?
- Does your reporting software offer real-time reporting and predictive analytics?
- Can the tool scale with your business needs?
What AI tools are the best for AI reporting?
Here are the 10 best AI reporting tools depending on your needs:
Sembly AI: Best for enterprises, business teams or solo professionals who need automated meeting reports and want to optimize their voice-to-text workflows.
Simplified: A good fit for marketers and creators.
Glean: Works well for knowledge-based reporting across internal tools.
Domo AI: Ideal for enterprise reporting.
Whatagraph: Brings most value to marketing agencies.
Gong: Works best for sales teams.
Beautiful AI: Great for executives and presenters.
ClickUp: A good choice for productivity and project tracking.
Akkio: Perfect for startups and small data teams.
Qlik: Best for enterprise analytics.
- Multi-meeting chats
- AI Insights
- AI Artifacts
You might also like
