Top 10 Enterprise AI Assistant to Boost Productivity in 2025

Enterprise AI assistants are smart software programs that help employees do their jobs more efficiently using artificial intelligence, especially generative AI and natural language processing (NLP). However, finding the one that fits your business can be tricky.

We reviewed and tested leading enterprise AI assistants to provide insights into their features, pricing, and usability.

Features & pricing of the top 10 enterprise AI assistant

*Pricing is based on a per-user, per-month model. “Free” indicates that a free version of the tool is available.

Splunk AI Assistant

Splunk AI Assistant helps IT teams translate natural language into Splunk queries and analyze machine data to speed troubleshooting.

What it does:

• Converts natural language into SPL queries.
• Explains complex SPL in simple terms.
• Works inside the Splunk interface.

Key features:

• Domain expertise: Tuned for IT operations and security monitoring.
• Embedded workflow: No tool switching, launch queries directly.

Moveworks

Moveworksuses autonomous AI to automate employee support and workflows across many organization systems in multiple languages.

What it does:

• Answers questions related to different departments such as IT, HR, finance, production, and sales in 100+ languages.
• Automates repetitive tasks like password resets, PTO requests, and invoice processing.
• Works across apps, portals, and browsers.

Key features:

• Out-of-the-box integrations: Hundreds of ready connectors, no scripting needed.
• Multi-app execution: Autonomous multi-app task execution.

Glean Assistant

Glean Assistant is an AI solution that searches all company documents and web data in one place and gives clear, sourced responses.

What it does:

• Searches across documents, messages, and apps from one place.
• Summarizes files and data in plain language.
• Lets users stay in Slack, Zoom, or other tools while getting help.

Key features:

• Source citations: Every answer shows where it comes from.
• In-context help: Works inside existing apps so people don’t switch tools.
• Mixed data analysis: Handles both structured (spreadsheets) and unstructured (chat threads) data.

Amazon Q Business

Amazon Q Business is a generative AI assistant that helps employees ask questions, get insights, and complete work within business apps. It is built for companies that already use AWS and want AI integrated with cloud infrastructure.

What it does:

• Answers questions from documents, images, and databases.
• Lets users build lightweight AI apps by describing needs in plain words.

Key features:

• Q apps: One-step app creation and sharing.
• Multimodal support: Handles text, audio, images, and video.

Mistral Le Chat

Le Chat is a conversational AI interface from Mistral that helps users interact with Mistral’s language models for enterprise use.

What it does:

• Hosts AI agents tailored to your data and workflows.
• Provides search, research, creative, and analytical tools.

Key features:

• Full stack control: Customize models, interfaces, and workflows.
• Modular: Plug in your own tools and code freely.
• Continuous learning: Agents improve over time without losing control.

ONYX Assistant

ONYX Assistant is a secure enterprise chatbot that helps employees ask questions, analyze data, and complete workflows using private company tools.

Our experience:

ONYX is simple to use and needs almost no training. While it may miss answers in uploaded documents, it does a good job using public information. This makes it useful for general questions, even when internal data isn’t enough.

What it does:

• Designed for knowledge workers who deal with large documents.
• Supports any LLM provider or self-hosted model.

Key features:

• Open source & modular: Customize code, UIs, and pipelines.
• Document-level permissions: Inherits access rules automatically.
• Privacy: Provides air-gapped deployment options.

LunarTech Phoenix

LunarTech Phoenix is an AI assistant that helps to boost productivity and innovation, automate workflows, and improve decision-making across product, service, and technology businesses.

What it does:

• Brings AI support directly into developer workflows and tools.
• Provides tight security: on-premise hosting and isolated environments.
• Focuses on internal tools, private data, and compliance with strict access controls.

Key features:

• Phoenix platform: Offers dozens of tools for content, branding, and innovation.

Sana Agents

Sana Agents are workplace AI tools that help automate tasks and workflows based on company knowledge.

Our experience:

Sana is also easy to use with a short learning curve. However, it struggles to find answers in uploaded documents, and its use of public information isn’t always accurate. One helpful feature is that it shows the source of each answer, which improves trust and clarity.

What it does:

• Automates multi-step tasks like updating a CRM or processing payroll.
• Appears in Slack and other key apps.

Key features:

• Agent builder: No-code visual flow design.
• Parallel actions: Runs multiple tasks at once.
• Enterprise security: Mirrors existing permissions and keeps data secure and private.

StackAI

StackAI enables no-code AI automation for back-office teams, with industry templates and strong security compliance.

What it does:

• Lets non-technical users create AI agents.
• Deploys agents with custom UIs or API endpoints.

Key features:

• No-code design: Build and launch without writing code.
• Industry templates: Pre-built workflows for government, insurance, education, and more.

Aisera Assistant

Aisera Assistant is an enterprise AI tool that automates tasks, answers questions, and resolves support issues across channels using natural conversations.

What it does:

• Provides support via email, chat, SMS, and voice.
• Automatically resolves tickets and predicts IT incidents.
• Summarizes logs and documents, and generates knowledge articles.

Key features:

• Hyperflows: Automates complex, multi-step workflows using natural language.
• AIOps integration: Detects and fixes issues before they occur.
• Multimodal & multilingual: Supports all channels and languages.

What makes enterprise AI assistants different?

Good AI assistants do more than just answer questions. They:

• Connect with many apps and data sources to find relevant information quickly.
• Understand natural language, so all your employees can ask in plain words.
• Automate complex tasks, reducing manual work and errors.
• Respect data security and privacy, which are crucial for handling sensitive company information.
• Adapt to specific business needs, often by letting users customize workflows or AI behavior.

Some assistants focus on helping with internal knowledge and research. Other AI platforms specialize in automating workflows, supporting IT teams, or boosting customer service.

Categories of assistance-based AI platforms

Knowledge assistants

These solutions help people find information inside a company. They search documents, apps, and messages to deliver answers to questions in a quick and detailed way. Teams use them to save time and reduce repeated work.

Workflow builders

These assistants do more than just answer questions. Their capabilities enable users to take actions, automate tasks, and follow steps in a process. Teams use them to save time on repetitive work like sending emails or updating records.

IT & support tools

These tools help IT teams, support agents, and employees solve tech issues faster. They can respond to questions, create tickets, or find fixes by connecting to the help desk and monitoring systems.