Top AI Agents in Business: Where They Actually Fit Today

AI agents are having a moment, but not in the way most headlines suggest.

This isn’t about fully autonomous companies or replacing entire teams overnight. What’s actually happening is quieter, and honestly more useful. Businesses are starting to use AI agents in specific parts of their workflow - handling repetitive tasks, assisting decision-making, and filling small but important gaps in operations.

If you look across the current landscape, you’ll see a growing mix of tools and platforms. Some are built for customer support, others for internal automation, research, or sales workflows. It’s not one category yet, it’s more like a toolkit that’s still taking shape.

Below is a snapshot of companies working in this space. Not a ranking, not a “best tools” list, just a grounded view of what’s out there right now, and how the ecosystem is forming.

1. Extuitive

Extuitive focuses on applying AI agents to real business workflows, particularly in marketing and decision-making processes. We provide a platform that helps teams generate, test, and evaluate advertising ideas without relying fully on manual effort. Instead of launching campaigns and adjusting later, the system simulates how different audiences might respond in advance. This supports everyday business tasks like validating ideas, refining messaging, and organizing campaign inputs before execution. The platform is used across different markets, including teams working with global audiences where speed and consistency matter.

The approach centers on using AI agents within a structured system rather than as standalone tools. These agents simulate roles such as marketers, researchers, and consumers to explore different scenarios before decisions are made. This reduces the need for repeated manual testing and helps teams move through early-stage work in a more consistent way. The focus is on making routine business processes easier to manage, while keeping decision-making grounded in structured inputs rather than guesswork.

Key Highlights:

• AI agents applied to practical business workflows
• Simulation of customer behavior before execution
• Automation of idea generation and validation processes
• Reduces manual effort in early-stage decision-making
• Combines research, creative input, and analysis in one system

Who it’s best for:

• Marketing teams managing ongoing campaign workflows
• E-commerce and digital businesses testing new ideas regularly
• Teams looking to structure and automate early-stage decision processes
• Founders who need support with validation before investing resources
• Companies exploring AI-driven approaches to everyday business tasks

Contact Information:

• Website: extuitive.com
• Email: support@extuitive.com
• Twitter: x.com/Extuitive_Inc
• LinkedIn: www.linkedin.com/company/extuitive
• Instagram: www.instagram.com/extuitiveinc

2. Devin

Devin is positioned as an AI software engineer that takes on structured but time-consuming development work. It is used in cases where engineering teams need to move or refactor large volumes of code, especially when the work is repetitive but still requires judgment. In one example, it was applied to break down a large ETL system into smaller modules, handling thousands of similar code transformations while engineers reviewed the results instead of doing everything manually.

What stands out is how the system adapts over time. It learns from previous migrations, builds small internal tools to speed up its own work, and gradually reduces the need for constant human intervention. Instead of replacing engineers, it shifts their role toward oversight and decision-making, especially in long-running infrastructure projects.

Key Highlights:

• Handles repetitive engineering tasks like code migration and refactoring
• Learns from past examples and improves over time
• Builds internal scripts to speed up recurring steps
• Works in parallel across many small subtasks
• Keeps humans in the loop for review and approval

Who It’s Best For:

• Engineering teams dealing with large legacy systems
• Companies running long-term refactoring or migration projects
• Organizations trying to reduce time spent on repetitive code work 

Contact Information:

• Website: devin.ai
• Twitter: x.com/cognition
• LinkedIn: www.linkedin.com/company/cognition-ai-labs

3. Lindy

Lindy works as a day-to-day assistant focused on communication and scheduling tasks. It connects to email and calendar tools, organizes incoming messages, drafts replies, and manages meeting logistics. The goal is not to replace decision-making, but to reduce the amount of small coordination work that fills up the day.

Over time, it adjusts to how someone writes and prioritizes tasks. It can prepare meeting summaries, send follow-ups, and keep track of ongoing conversations across tools. The system sits quietly in the background, handling routine actions so users can step in only when needed.

Key Highlights:

• Organizes inbox and drafts email replies
• Schedules and reschedules meetings automatically
• Prepares meeting briefs and follow-ups
• Learns writing style and preferences over time
• Connects with common workplace tools

Who It’s Best For:

• People managing high volumes of email
• Teams with frequent meetings and coordination work
• Professionals looking to reduce routine admin tasks 

Contact Information:

• Website: www.lindy.ai
• Email: support@lindy.ai
• Twitter: x.com/getlindy
• LinkedIn: www.linkedin.com/company/lindyai

4. ClickUp

ClickUp approaches AI agents as part of a broader workspace where tasks, documents, and communication already live. Instead of separate tools, it places AI inside the same environment, where it can answer questions, create tasks, or generate content based on existing context.

The system is built around the idea that work often gets fragmented across tools. By combining project management, chat, and AI assistance, it allows agents to act on real data from ongoing projects. This makes the output more grounded, since the AI is working with current tasks, files, and team activity.

Key Highlights:

• AI agents operate inside a unified workspace
• Can create tasks, summarize work, and answer questions
• Connected to project data, docs, and communication
• Supports custom workflows and automations
• Integrates with multiple external tools

Who It’s Best For:

• Teams managing projects across multiple tools
• Organizations trying to centralize workflows
• Work environments where context switching is a problem

Contact Information:

• Website: clickup.com
• Facebook: www.facebook.com/clickupprojectmanagement
• Twitter: x.com/clickup
• LinkedIn: www.linkedin.com/company/12949663
• Instagram: www.instagram.com/clickup

5. Cognigy

Cognigy focuses on AI agents for customer service, especially in large-scale support environments. Its agents handle conversations across phone, chat, and messaging channels, aiming to resolve customer requests without always involving a human agent.

The platform also includes tools for human support teams, such as real-time assistance and access to knowledge during conversations. It is designed to fit into existing systems, so companies can automate parts of customer interaction while keeping control over more complex cases.

Key Highlights:

• Supports voice and chat-based AI agents
• Handles customer interactions across multiple channels
• Provides real-time assistance for human agents
• Includes language understanding and translation features
• Integrates with existing contact center systems

Who It’s Best For:

• Customer support teams handling large volumes of inquiries
• Enterprises with multi-channel support operations
• Organizations looking to automate routine service interactions 

Contact Information:

• Website: www.cognigy.com
• Email: info-us@cognigy.com
• Facebook: www.facebook.com/cognigy
• Twitter: x.com/cognigy
• LinkedIn: www.linkedin.com/company/cognigy
• Address: 2400 N Glenville Drive, Building B, Suite 400, Richardson , Texas 75082
• Phone: +1 972 301 1300

6. Intercom

Intercom combines a helpdesk system with an integrated AI agent that works alongside human support teams. The AI is built directly into the platform, so both human agents and automation share the same data and conversation history.

The system improves gradually by learning from past interactions. It can handle common questions, assist support agents with replies, and organize incoming requests. The focus is on maintaining continuity across conversations, rather than splitting work between disconnected tools.

Key Highlights:

• AI agent built into a full helpdesk system
• Shared context between AI and human agents
• Learns from previous conversations
• Supports omnichannel communication
• Includes reporting and conversation insights

Who It’s Best For:

• Customer support teams using a helpdesk system
• Companies handling ongoing customer conversations
• Teams that want AI and human agents working together

Contact Information:

• Website: www.intercom.com
• Email: press@intercom.com

7. Decagon

Decagon presents itself as an AI agent platform focused on business operations, though the public-facing information is relatively limited compared to others. It appears to be part of a broader shift toward building systems where agents can take on structured workflows rather than isolated tasks.

From what is available, the platform fits into the same general category as other agent-based tools - helping teams automate repeatable processes while keeping oversight in place. It reflects how the space is still evolving, with some products defining their use cases as they grow.

Key Highlights:

• Focus on AI agents for operational workflows
• Positioned within emerging agent-based systems
• Limited but growing public information
• Part of broader automation trends

Who It’s Best For:

• Teams exploring early-stage AI agent platforms
• Organizations testing automation in operations
• Companies open to evolving tools and workflows 

Contact Information:

• Website: decagon.ai
• Twitter: x.com/DecagonAI
• LinkedIn: www.linkedin.com/company/decagon-ai

8. Relevance AI

Relevance AI is centered around building AI agents for go-to-market teams. It starts with assisting sales and customer-facing roles, then gradually expands into more autonomous workflows like lead qualification, outreach, and pipeline management.

The system is designed to evolve in stages. Teams can begin by delegating small tasks, then move toward agents handling entire workflows based on predefined playbooks. Over time, these agents can respond to signals in the pipeline and take action without constant input.

Key Highlights:

• Focus on sales and go-to-market workflows
• Supports both assisted and autonomous agent modes
• Builds agents that act on real-time signals
• Integrates with CRM and communication tools
• Allows gradual adoption from manual to automated processes

Who It’s Best For:

• Sales and revenue teams
• Organizations managing complex pipelines
• Teams looking to automate outreach and follow-ups

Contact Information:

• Website: relevanceai.com
• Twitter: x.com/RelevanceAI_
• LinkedIn: www.linkedin.com/company/relevanceai

9. Tableau

Tableau approaches AI agents from a data and analytics perspective. Instead of focusing on tasks like messaging or support, it integrates AI into data workflows, helping users explore, understand, and act on information more efficiently.

The concept of agentic analytics shows up in how insights are turned into actions. Rather than just visualizing data, the platform connects analysis with decision-making processes. This makes it relevant for teams that rely heavily on data to guide operations.

Key Highlights:

• Combines analytics with AI-driven insights
• Supports data exploration and visualization
• Connects insights to business actions
• Works across cloud and on-premise environments
• Integrates with broader data ecosystems

Who It’s Best For:

• Data teams and analysts
• Organizations working with large datasets
• Businesses focused on data-driven decision-making

Contact Information:

• Website: www.tableau.com
• Facebook: www.facebook.com/Tableau
• Twitter: x.com/tableau
• LinkedIn: www.linkedin.com/company/tableau-software
• Address: 415 Mission Street, 3rd Floor, San Francisco, CA 94105, United States
• Phone: 1-800-270-6977

10. CrewAI

CrewAI is built around the idea of organizing multiple AI agents into coordinated groups that handle complex workflows. It provides both a visual interface and APIs, so teams can define how agents interact with tools, systems, and each other. The focus is on structuring work in a way where agents can take on multi-step tasks instead of isolated actions.

From an operational angle, the platform puts a lot of weight on control and visibility. It includes tracing, testing, and guardrails, which makes it easier to follow what an agent is doing step by step. That becomes important when workflows move from experiments into something closer to daily operations across different teams.

Key Highlights:

• Supports multi-agent workflows for complex tasks
• Visual editor and API-based development options
• Built-in tracing and monitoring of agent actions
• Tools for training and controlling agent behavior
• Works across different systems and integrations

Who It’s Best For:

• Teams building structured AI workflows
• Organizations coordinating tasks across multiple systems
• Engineering and operations teams working on automation 

Contact Information:

• Website: crewai.com
• Twitter: x.com/crewaiinc
• LinkedIn: www.linkedin.com/company/crewai-inc

11. Glean

Glean is centered around internal company knowledge and how it is accessed and used. It connects to different tools and data sources, then builds a layer where employees can search, summarize, and act on that information through AI assistants and agents.

Instead of treating AI as a separate tool, it sits on top of existing company data and tries to make it usable in everyday work. This includes things like onboarding, internal support, or finding context across documents and conversations. The agents are part of that system, helping automate tasks that depend on internal knowledge.

Key Highlights:

• Connects to multiple internal data sources
• Combines search, assistant, and agent workflows
• Supports content creation and summarization
• Automates internal processes across departments
• Includes permission-aware access to information

Who It’s Best For:

• Companies with fragmented internal knowledge
• Teams handling onboarding or internal support
• Organizations trying to unify access to information 

Contact Information:

• Website: www.glean.com 
• App Store: apps.apple.com/us/app/glean-work/id1582892407 
• Google Play: play.google.com/store/apps/details?id=com.glean.app 
• Twitter: x.com/glean 
• LinkedIn: www.linkedin.com/company/gleanwork 
• Instagram: www.instagram.com/gleanwork 
• Address: 634 2nd Street, San Francisco, CA 94107, United States

12. Hightouch

Hightouch focuses on using AI agents in marketing workflows, particularly where customer data plays a central role. It builds on top of existing data warehouses, allowing teams to create audiences, plan campaigns, and personalize interactions without moving data into a separate system.

A different angle here is how decision-making is handled. Instead of fixed campaign rules, agents can adjust messaging and timing based on signals from customer behavior. That shifts marketing from scheduled campaigns toward something more continuous and adaptive, though still controlled through defined rules and inputs.

Key Highlights:

• Uses existing data warehouse as a foundation
• Supports audience building and campaign planning
• AI-driven decisioning for personalized messaging
• Real-time data activation across channels
• Integrates with a wide range of marketing tools

Who It’s Best For:

• Marketing teams working with large datasets
• Organizations focused on personalization
• Teams managing multi-channel campaigns

Contact Information:

• Website: hightouch.com
• Twitter: x.com/HightouchData
• LinkedIn: www.linkedin.com/company/hightouchio

13. Sierra

Sierra is built around customer-facing AI agents that handle interactions across different channels. It allows companies to deploy a single agent that can respond through chat, voice, messaging apps, and other touchpoints, keeping the experience consistent.

There is also an emphasis on how these agents are created and maintained. Teams can define goals, connect data sources, and adjust behavior over time. The system includes tools for testing and improving interactions, which reflects the ongoing nature of customer communication rather than a one-time setup.

Key Highlights:

• Supports multi-channel customer interactions
• Allows building agents with or without engineering work
• Connects to internal data and external tools
• Includes testing and optimization tools
• Focus on consistent customer experience across channels

Who It’s Best For:

• Customer experience and support teams
• Businesses operating across multiple communication channels
• Organizations aiming to unify customer interactions

Contact Information:

• Website: sierra.ai
• Email: security@sierra.ai
• Twitter: x.com/sierraplatform
• LinkedIn: www.linkedin.com/company/sierra

14. Fellow

Fellow is centered on meetings and what happens around them. It records conversations, creates transcripts, and turns discussions into notes and action items. The AI agent layer builds on top of that by making meeting content searchable and usable after the call ends.

Another part of the system is how it connects meetings to actual work. It can suggest follow-ups, update CRM systems, and keep information organized in one place. The idea is not just capturing meetings, but making sure the information from them does not get lost or forgotten.

Key Highlights:

• Records and transcribes meetings automatically
• Generates summaries and action items
• Makes meeting content searchable
• Syncs insights with CRM and other tools
• Includes privacy and access controls

Who It’s Best For:

• Teams with frequent meetings
• Organizations managing sales or customer calls
• Teams needing structured follow-ups after discussions

Contact Information:

• Website: fellow.ai
• Facebook: www.facebook.com/fellowmeetings
• Twitter: x.com/FellowAInotes
• LinkedIn: www.linkedin.com/company/fellow-ai
• Instagram: www.instagram.com/FellowAInotes
• Address: 532 Montréal Rd #275, Ottawa, ON K1K 4R4, Canada

15. HubSpot

HubSpot brings AI agents into a broader customer platform that includes marketing, sales, and support tools. The agents are built into the system and work alongside CRM data, helping automate tasks like outreach, content creation, and customer support.

What matters here is the shared data layer. Since everything runs through the same platform, agents can act on consistent customer information across different teams. This reduces the need to move data between tools and keeps workflows connected from first contact to long-term retention.

Key Highlights:

• AI agents integrated into CRM platform
• Supports marketing, sales, and support workflows
• Works with shared customer data across teams
• Automates outreach and content generation
• Connects with a wide range of external tools

Who It’s Best For:

• Companies using CRM-driven workflows
• Teams managing full customer lifecycle
• Organizations looking to connect sales and marketing data 

Contact Information:

• Website: www.hubspot.com
• Facebook: www.facebook.com/hubspot
• Twitter: x.com/HubSpot
• LinkedIn: www.linkedin.com/company/hubspot
• Instagram: www.instagram.com/hubspot
• Address: 2 Canal Park, Cambridge, MA 02141, United States
• Phone: +1 888 482 7768

16. Moveworks

Moveworks is designed as an AI assistant that operates across internal business systems. It allows employees to search for information and trigger actions from a single interface, without needing to switch between tools.

The platform leans into automation that goes beyond answering questions. Agents can handle requests, complete tasks, and interact with different systems in the background. This makes it relevant for areas like IT, HR, and operations, where a lot of work involves repeated requests and processes.

Key Highlights:

• Combines search and task execution in one system
• Works across multiple internal applications
• Supports building custom AI agents
• Handles requests in different business functions
• Includes multilingual and multi-channel support

Who It’s Best For:

• Large organizations with many internal tools
• Teams handling internal service requests
• Companies aiming to reduce operational friction

Contact Information:

• Website: www.moveworks.com 
• Email: support@moveworks.com 
• Twitter: x.com/moveworks 
• LinkedIn: www.linkedin.com/company/moveworksai 
• Address: 1400 Terra Bella Avenue, Mountain View, CA 94043

Conclusion

What stands out across all of these tools is that AI agents are not one single category yet. They show up in different places - writing code, handling support tickets, organizing internal knowledge, running marketing workflows, or just keeping meetings from falling apart. It is less about one big shift and more about a series of small, practical changes in how work gets done.

There is also a pattern in how these systems are being used. Most of them do not fully replace people. Instead, they take on the parts of the job that are repetitive, structured, or easy to forget. The human role shifts a bit - more review, more direction, less manual execution. That balance still looks different depending on the company and the use case.

If anything, this space feels unfinished in a good way. The tools are already useful, but still evolving, and the boundaries are not fixed yet. New workflows are being figured out as teams experiment. So rather than thinking about AI agents as a final solution, it makes more sense to see them as something teams are gradually folding into how they already work.