Leading Agentic AI Tools in 2025: A Complete Business Guide

With agentic AI rapidly transforming the marketplace, a growing number of businesses are incorporating these powerful tools into their existing technology stacks. According to KPMG, more than 50% of companies are actively exploring the use of AI agents, with over 30% already employing them in operational scenarios.

The global AI agents market is predicted to grow from $5.4 billion to over $50 billion (~£4.27 to £37 billion) over the next six years. With new solutions appearing at every turn, identifying the one that best suits your business’s specific needs can prove difficult. Rather than following the latest trends or prevailing hype, it is advisable to concentrate on technologies that provide measurable value and well-aligned with your broader business strategy.

The following guide outlines the 10 leading agentic AI tools in 2025, along with the main factors to consider when evaluating available options.

Notable Insights:

• Agentic AI tools are transforming business operations by automating routine tasks, enhancing decision-making, and boosting productivity across various departments such as sales, marketing, customer service, and operations.
• By 2028, AI agents are expected to manage 15% of day-to-day workplace decisions independently.
• The primary benefits of agentic AI tools include greater productivity, proactive issue management, and improved accuracy.
• Leading AI platforms such as Creatio, Beam AI, and Moveworks provide tailored automation solutions that support sales teams, optimise customer service, and streamline marketing operations.
• Many tools, including Creatio, Langchain, and Kore.ai, enable businesses to develop and integrate custom AI agents across existing infrastructure, supporting seamless workflow management.

What are Agentic AI Tools?

Agentic AI tools are intelligent systems capable of making decisions, autonomously executing tasks, and interacting with other systems. These agentic-powered tools can formulate a plan, perform tasks on behalf of users, and optimise performance with minimal human intervention.

Agentic AI tools process vast amounts of data to interpret context and make decisions to execute workflows and tasks. By learning from previous experiences, these tools are able to adapt to changing conditions and handle exceptions, offering far grater agility than traditional software, which depends on explicit user instructions at every step.

The Advantages of Agentic AI Tools

Agentic AI tools are transforming the way modern businesses operate, delivering advanced automation without the need for human intervention. Whereas traditional tools often rely on predefined rules, manually enabled workflows, or constant reprogramming to adapt to new situations, agentic AI tools are genuinely autonomous. According to Gartner, by 2028, AI agents will be handling 15% of routine workplace decisions independently.

Below in an overview of the principal benefits AI tools offer:

Enhanced productivity

One of the most significant benefits of agentic AI tools lies in their capacity to enhance productivity through advanced automation. Agentic AI tools are particularly effective at handling repetitive tasks, such as data management or customer orders processing, that would otherwise demand ongoing human input.

By delegating repetitive and time-consuming tasks to agentic AI tools, businesses can streamline operations with enabling employees to concentrate on higher-value activities, such as nurturing strong relationships with customers and partners, as well as shaping strategies for upcoming quarters.

Seamless task execution

AI tools are capable of autonomously executing actions based on predefined conditions or dynamic inputs, ensuring tasks are completed with minimal disruption. AI agents can handle entire processes, from gathering necessary information to completing final actions, such as sending reports or responding to customer enquiries. By reducing reliance on manual intervention and decision-making at each stage, agentic AI tools help to eliminate bottlenecks and improve operational efficiency.

Real-time decision-making

Agentic AI tools are capable of analysing large-scale data in real-time, providing valuable support for effective decision-making. This is especially valuable for businesses required to respond rapidly to dynamic conditions, including market fluctuations or customer behaviour.

Whether it is adjusting marketing campaigns in response to performance metrics or optimising supply chains to manage unexpected material shortages, AI tools are capable of adapting in real time, enhancing business agility in fast-paced environments.

Proactive problem-solving

AI tools are capable of addressing issues after they arise, while also helping to mitigate potential problems before they escalate. Through continuous monitoring, pattern recognition, and outcome prediction, agentic AI tools can take proactive actions without the need for humans intervention.

Strategic business decisions and sensitive issues continue to warrant human oversight. However, low-impactful decisions, such as reaching out to dissatisfied customers before a negative review is posted or reordering stock before levels run low, can be handled autonomously to enhance operational efficiency.

Improved accuracy and reduced errors

Mistakes are an inevitable part of manual work, especially when processing repetitive tasks or complex datasets. Agentic AI tools mitigate this risk by significantly reducing errors and enhancing overall precision of data processing and decisions.

Effortless scalability

Business growth often leads to increased operational demands. Agentic AI tools scale effortlessly, managing larger volumes of work without the need for additional human resources, thereby enabling organisations to maintain high performance as they expand.

Important Aspects to Consider in the Selection of Agentic AI Tools

Choosing the appropriate agentic AI tools for your business is vital to achieving the intended outcomes. With numerous solutions on the market, careful evaluation is required, based on factors that align with defined objectives and operational priorities.

Consider the following aspects during the selection process:

1. Business requirements and objectives

Before exploring available options, it is essential to define the specific business needs for adopting agentic AI tools. This involves determining which processes could be automated and establishing clear objectives. A structured approach will enable more effective selection and implementation of the appropriate technologies.

2. Types of agentic AI tools

There is a wide array of agentic tools currently available, ranging from simple reflex agents well-suited to handling repetitive, routine tasks, to multi-agent systems capable of orchestrating entire business processes. These include general-purpose agentic AI tools that applicable across functions and industries, as well as role-based AI agents designed to execute specialised tasks. Gaining a clear understanding of what such AI can and cannot do is essential to setting realistic expectation and objectives.

3. Seamless integration

Agentic AI tools are expected to integrate seamlessly with existing technology stack, including CRM, ERP, communication platforms, and other technologies already in use. Preference should be given to solutions offering built-in integration and API support to ensure cohesion across the wider digital ecosystem. Consider platforms, such as Creatio, which provide native AI capabilities embedded within productivity tools, thereby reducing the need for complex integration work.

4. Accessibility and ease of implementation

Although agentic AI tools are designed to operate with a degree of autonomy, the user interface and overall experience remain crucial. Teams will still need to engage with the system to configure its settings, monitor performance, and evaluate outcomes.

Low adoption of AI remains one of the most common challenges businesses face when attempting to scale AI tools across functions. According to preliminary findings of the Creatio AI Survey, adoption is the primary obstacle for the FinServ sector, with nearly 40% of digital leaders identifying it as the primary concern.

To avoid similar obstacles, it is advisable to select a tool with an intuitive interface that supports natural language, enabling seamless automation across all objects and workflows. This approach helps ensure rapid adoption and effective use, significantly accelerating time-to-value.

5. Adherence to data privacy regulations

The use of agentic AI tools entails access to sensitive corporate and customer data. As such, strict adherence to data privacy regulations, including UK GDPR, is not only expected but essential.

Robust security capabilities, such as multi-layered encryption, role-based access control, and multifactor authentication, should be considered essential in order to safeguard data, limit financial exposure, and prevent reputational damage.

6. Cost vs. value

The cost of agentic AI tools can vary considerably. Although certain options involve lower upfront expenditure, others may offer greater long-term value due to their enhanced capabilities.

When assessing any tool, it is important to consider the overall value it may deliver to the business. The costs should be balanced against the potential benefits, such as time savings, improved efficiency, and long-term effects on profitabilities. Be sure to account for any maintenance or subscription fees.

It should be noted that solutions integrated with legacy infrastructure may lead to rising costs in the long term, owing to recurring licensing, ongoing maintenance, and additional charges for advanced capabilities.

Overview of the Leading Agentic AI Tools

Ten Leading AI Agentic Tools

As businesses embrace artificial intelligence, selecting the appropriate tools becomes essential for enhancing productivity and operational efficiency. This section examines ten leading agentic AI tools that are transforming industry workflows.

The following solutions have the potential to significantly enhance operational efficiency across the business:

1. Creatio

Most Suitable For: Empowering teams across all departments with intelligent AI agents designed to adjust to specific roles and augment human potential.

Creatio is an AI-native platform designed to automate CRM and workflows through no-code technology, offering agentic AI tools that streamline routine work, increase productivity, and support business growth. Its domain-specific AI agents are integrated across all layers of the Creatio's platform, capable of understanding, acting, and learning within a business context. Creatio provides AI agents as a core part of the platform without additional licences or hidden fees, enabling organisations to unlock the combined potential of digital and human capabilities.

AI agents are capable of understanding business context to deliver relevant insights and assist users with routine tasks, empowering teams to work faster, concentrate on strategic tasks, and achieve unprecedented results. With agentic AI tools seamlessly integrated into productivity platforms such as Teams and Outlook, businesses can avoid the burden of complex integrations and accelerate time-to-value.

Distinguished features:

• Sales Agents enhance the efficiency of sales teams by automating preparation, personalising outreach, generating proposals, and surfacing key account insights. For instance, a Meeting Prep Agent can recommend agendas, talking points, and relevant materials ahead of each meeting, while a Quote Agent assists in tailoring sales quotations using AI-driven products and pricing recommendations.
• Marketing Agents draft targeted messaging and personalise outreach in line with specific campaign objectives. For instance, an Email Generation Agent can automatically generate tailored email content suited to a defined audience and goals, while a Marketing Content Agent may generate blog posts, social media updates, and advertising copy.
• Customer Service Agents assist teams in resolving cases more efficiently by providing contextual responses and recommending knowledge articles. For instance, a Customer Support Agent summarises open cases with appropriate context and history to accelerate resolution, while a Knowledge Base Agent identifies high-value past cases and drafts knowledge articles.
• Vertical Agents are designed specifically for distinct industries, such as finance, healthcare, and manufacturing. These AI agents leverage powerful agentic AI capabilities, AI-native automation, and pre-configured workflows to help organisations enhance operational efficiency. For instance, a Credit Scoring Agent can evaluate potential risk and support financial professionals in making more accurate credit decisions.
• Dashboard Agent enables users to build and modify reports using natural language, accelerating analytics without the need for technical expertise.
• No-code Agent Builder empowers business users to design, configure, and deploy new AI agents by visually composing skills, workflows, and knowledge using intuitive no-code tools with integrated AI.
• A human-in-the-loop approach ensures that AI decisions are guided by humans, enhancing transparency, security, and accountability.
• Enterprise-grade security provides data protection, with features designed to meet the highest standards of privacy and regulatory compliance.

Creatio's AI agents are tailored to suit individual roles and working systems, and may be adjusted to align with specific workflows and access levels. By adapting to role-specific requirements, the agents are able to execute multistep tasks and assist with informed decision-making, augmenting overall productivity and efficiency.

Rating:

G2: 4.8/5

Software Advice: 4.7/5

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2. UiPath

Most Suitable For: Enterprises seeking an RPA platform to build AI agents and design business processes.

UiPath is a robotic process automation (RPA) platform designed to help businesses automate repetitive tasks such as data entry, lead processing, customer follow-up, and document handling. Through its agentic AI capabilities, UiPath extends automation beyond rule-based processes, including intelligent decision-making and predictive analytics. UiPath enables businesses to develop workflows that integrate agentic adaptability, robotic precision, and human expertise. Its goal-oriented AI agents are capable of autonomously executing and optimising complex business operations, allowing employees to dedicate their effort to more strategic tasks.

Distinguished features:

• UiPath Agent Builder allows enterprises to create, customise, and deploy AI agents to automate complex processes.
• UiPath Maestro unifies agentic AI, automation, BPM, and process intelligence to design, execute, and optimise end-to-end business operations.
• UiPath Healing Agent addresses UI issues automatically, ensuring smooth performance and providing suggestions to reduce time spent on troubleshooting and debugging.
• UiPath Autopilot leverages AI to boost employee productivity and efficiency.
• Low-code and pro-code environments enable technically proficient users to develop agentic automations, intelligent agents, and robots.
• Security measures, including policy management, role-based access, and comprehensive platform auditing to safeguard sensitive data.

Rating:

G2: 4.6/5

Software Advice: 4.6/5

3. Beam AI

Most Suitable For: Businesses looking to optimise their workflows with the help of intelligent AI agents.

Beam AI is an agentic AI platform designed to automate workflows through a team of AI agents. Its systems enable organisations to develop and integrate multiple learning agents capable of autonomously identifying and executing tasks, thereby streamlining core operations and enhancing overall efficiency. These adaptive AI agents help to optimise processes, minimise bottlenecks, and Improve output. Beam also offers industry-specific agents tailored to address particular challenges and drive performance across a range of sectors.

Distinguished features:

• AI Agent Hub: a central command centre that enables users to oversee a diverse team of AI agents, monitor active assignments, and plan upcoming tasks.
• Agentic Automation: enables users to integrate AI agents within existing workflows to automate and optimise operations.
• Integration with existing tools: Beam AI seamlessly integrates with widely used tools, such as Airtable, Aircall, ServiceNow, Copper, Asana, Sage, and ClickUp.
• Pre-built agentic AI tools: a toolkit of ready-made, customisable AI tools designed to support the development and execution of complex workflows.
• Agent Templates: pre-trained agents tailored to support various business functions, such as marketing, sales, customer service, HR, and finance across different industries, including insurance, healthcare, and retail.
• Data protection: Beam AI offers security measures to safeguard sensitive data and ensure full compliance with GDPR requirements.

Rating:

G2: 4.8/5

Software Advice: 4.8/5

4. CrewAI

Most Suitable For: Businesses with unique processes and extensive IT resources to build tailored AI agents.

CrewAI is a multi-agent platform designed to streamline workflows across a range of industries, enabling users to build and deploy automated workflows using LLM and a cloud-based platform. It also provides pre-configured AI agents, such as lead scoring for sales teams, content creation for marketers, stock analysis for finance teams, and coding agents for developers. By enabling the automation of complex tasks, CrewAI enhances operational workflows and helps teams boost productivity through AI-powered development.

Distinguished features:

• Multi-agent automation: Crew AI provides a UI Studio enabling businesses to build multi-agent automation through no-code tools, pre-built templates, or coding.
• CrewAI Templates: a library of ready-to-use AI agent solutions – fully customisable and quick to deploy.
• Open Source platform: designed to support developers in building AI agents efficiently and at scale.
• Integration with third-party tools: connects with over 1,000 widely used applications and platforms, helping to streamline workflows.
• Compliance with industry regulations: the multi-agent platform adheres to primary industry standards, including HIPAA and SOC2.

Rating:

G2: 4.2/5

Software Advice: 4.6/5

5. Microsoft 365 Copilot

Most Suitable For: Organisations operating on the Microsoft 365 technology and seeking to enhance in-app productivity.

Microsoft Copilot is an agentic AI tool designed to enhance productivity across the Microsoft 365 ecosystem by automating repetitive tasks such as document creation, data analysis, and email management. Harnessing the capabilities of agentic AI, it can respond to queries, provide support, generate creative ideas, and suggest appropriate actions, enabling users to work more efficiently. Seamless integration with Microsoft tools such as Word, Excel, and Outlook, Copilot AI enables teams to concentrate on higher-value tasks, rather than being overloaded by routine processes.

Distinguished features:

• Copilot Chat: enables users to create AI-driven agents that connect with an organisation's data sources to automate business processes. An agent can be created by describing its intended function in the chat and supplying relevant knowledge bases.
• Copilot in Word: integrates organisational data directly into Word documents, allowing users to draft, refine, and edit content. This significantly reduces the time required to create articles, documents, and other written materials.
• Copilot in Outlook: assists users in managing their inbox by analysing email content and identifying high-priority messages. It also summarises the messages and suggests the appropriate next steps.
• Copilot in Excel: enables users to interact with Excel spreadsheets by describing tasks in plain language, rather than using complex formulas.
• Copilot in PowerPoint: facilitates the rapid generation of on-brand presentations based on description in natural language.

Rating:

G2: 4.4/5

Software Advice: 4.6/5

6. Zendesk AI

Most Suitable For: Businesses focused on optimising customer service operations.

Zendesk is a customer service platform powered by AI capabilities, designed to automate ticket management, improve agent efficiency, and deliver round-the-clock support via intelligent chatbots and self-service tools. With the addition of its agentic AI solution, Zendesk AI elevates customer interactions by routing tickets according to urgency and sentiment, automating responses to common enquiries, and enabling a more personalised service experience. This results in faster resolution times, increased customer satisfaction, and reduced workload for support teams. Intelligent safeguards and full operational visibility allow customer service representatives to monitor AI-driven resolutions and uphold the quality of each interaction.

Distinguished features:

• Instant responses: quickly generate on-brand responses to common enquiries by drawing on internal knowledge bases.
• Custom conversation flows: empower businesses to create intelligent resolution pathways that automatically address more complex issues.
• Integration with backend systems: AI agents connected to the backend system can manage interactions from beginning to end by authenticating customers and providing contextual responses.
• Agent Copilot: assists human agents with real-time suggestions for responses, recommended next best actions, and relevant knowledge base articles.
• AI insights: provide actionable insight on enhancing the performance of AI agents, identifying potential issues, and implementing improvements.

Rating:

G2: 4.3/5

Software Advice: 4.4/5

7. Aisera

Most Suitable For: Supporting service desk operations and building AI agents with pre-made templates.

Aisera is a unified AI agent platform designed for enterprises, supporting service desk operations across a range of departments, including HR, IT, legal, finance, and customer service. Aisera's agentic AI tools autonomously execute actions and automate tasks to increase employee productivity. By leveraging both conversational AI and generative AI technologies, Aisera enables quicker decision-making, reduces manual effort, and enhances overall operational efficiency. The platform integrates with third-party enterprise applications, ensuring consistent and intelligent service automation across all business functions.

Distinguished features:

• Agent Studio: empowers users to create AI agents through low-code, no-code, and pro-code tools, supported by a range of pre-built agent templates to accelerate deployment.
• Hyperflow studio: enables the creation and management of advanced workflows, featuring multistep automation and the handling of complex dependencies.
• AI workflow builder: provides a library of over 1,000 pre-configured actions, allowing users to construct workflows via an intuitive low-code/no-code interface.
• AI Agent System: provides purpose-designed agents capable of coordinating decision-making, orchestrating business processes, and executing tasks.
• Multimodality: Aisera's AI agents understand different input types, including text, voice, images, and documents, ensuring a more natural user experience.
• AI-powered summarisation: automatically summarises reports, documents, customer service cases, and more to increase employee productivity.
• Enterprise-class security and governance: incorporates data protection capabilities to support compliance with industry standards, such as GDPR, HIPAA, etc.

Rating:

G2: 4.4/5

Software Advice: 4.5/5

8. Kore.ai

Most Suitable For: Building AI agents with flexibility to select between different models, channels, and clouds.

Kore.ai is an agentic AI platform that enables organisations to design, deploy, and manage AI agents at enterprise scale across a range of models and cloud environments. It offers built-in governance and observability, accelerating user adoption while ensuring businesses retain full control over their agentic AI tools. Kore.ai’s AI agents enhance employee experiences, automate business processes, and elevate the quality of customer service.

Distinguished features:

• Pre-built industry solutions: Kore.ai provides over 250 customisable agent and tool templates, designed to meet the specific needs of various industries, such as banking, retail, healthcare, recruiting, HR, and IT.
• Enterprise RAG search: derives insights from both structured and unstructured data to help make data-driven decisions.
• Pre-built AI agents: a library of ready-to-use AI agents that seamlessly integrate into enterprise operations, automating essential tasks across IT and HR functions.
• No-code workflow builder: provides ready-to-use prompts, process templates, and no-code forms to visually build and deploy AI agent-powered workflows.
• Seamless integration: Kore.ai agent platform seamlessly integrates with enterprise applications, a variety of AI models, data sources, communication channels, and cloud providers.
• Security and compliance: provides enterprise-grade governance and role-based access control to safeguard confidential data and ensure adherence to regulatory standards.

Ranking:

G2: 4.7/5

Software Advice: 4.4/5

9. Moveworks

Most Suitable For: Deploying AI agents across various departments and systems with no integration hurdles.

Moveworks offers an agentic AI assistant designed to deliver answers and automate tasks across enterprise systems and applications. By combining generative AI with advanced search capabilities, it is able to take autonomous actions and streamline business processes throughout the technology stack. Moveworks agentic AI tools enhance productivity across departments, including IT, HR, sales, marketing, service, and engineering, enabling teams to concentrate on more strategic initiatives and projects while routine tasks are handled intelligently in the background.

Distinguished features:

• Agentic AI Assistant: provides employees with personalised, omnichannel support available 24/7 and in multiple languages.
• Agentic Reasoning Engine: interprets user intent, applies reasoning, formulates plans, and executes multistep processes to achieve defined objectives.
• Autonomous execution: performs tasks across integrated systems.
• AI Agent Builder: enables businesses to develop enterprise-grade AI agents for use across departments, while integrating with existing tools, such as CRMs, ERPs, HRIS, and more.
• AI Agent Marketplace: a library of pre-built AI agent solution packs, designed for quick deployment across a range of enterprise systems.
• Agent Studio: delivers a guided, low-code editor experience that empowers developers to create and tailor AI agents aligned with specific business policies and operational requirements.

Rating:

G2: 4.6/5

10. Langchain

Most Suitable For: Enterprises with advanced technical expertise and robust IT infrastructure looking to build and deploy AI agents from scratch.

Langchain provides a platform for developing agentic AI tools, supporting users throughout the entire agent development lifecycle. It enables businesses to build AI agents with pre-configured templates and a visual agent IDE to accelerate development by reusing, configuring, and combining agents. Langchain AI agents are designed to handle complex tasks under human supervision, ensuring reliable execution. Their performance can be monitored in real time, making it easier to identify and address issues promptly, while continuously enhancing their capabilities. These agents may operate independently to automate routine processes or coordinate more sophisticated workflows within multi-agent systems.

Distinguished features:

• LangGraph: enables developers to build fully customisable agent workflows with single, multi-agent, or hierarchical workflows.
• LangChain: provides an open, composable framework for developing LLM-based applications using a variety of models, tools, and databases.
• Library of integrations: includes over 600 integrations, ranging from different model providers and tools to vector stores, designed to facilitate seamless connections to live data sources.
• LangSmith: platform for testing, debugging, and monitoring performance of AI applications. It allows users to follow app behaviour step-by-step, making it easier to identify and resolve issues.
• LangGraph platform: allows users to develop, deploy, and scale agents within one platform. It also supports centralised agent management, allowing teams to discover, share, and reuse agents created by others.

Rating:

G2: 4.7/5

Summary

Adopting the appropriate agentic AI tools can significantly enhance business efficiency, streamline workflows, and drive productivity across various departments. When aligned with specific business needs, such tools enable the automation of repetitive tasks, support more informed decision-making, and contribute to an improved customer experience.

Agentic AI tools go beyond automation; they empower teams, reduce operational expenses, and facilitate effortless scalability. By leveraging the right AI capabilities, businesses can remain ahead of the curve and accelerate digital transformation.