GENERAL BUSINESS · CUSTOMER SUPPORT

Best 7 LLM-Powered LLM Agents for IT Support Services (MSPs)

In the rapidly evolving world of IT support, Managed Service Providers (MSPs) are constantly seeking tools that can streamline ticket resolution,...

In the rapidly evolving world of IT support, Managed Service Providers (MSPs) are constantly seeking tools that can streamline ticket resolution, reduce response times, and deliver a consistently high level of customer service. Large language model (LLM) powered agents have emerged as a game‑changing solution, offering intelligent, context‑aware interactions that can handle everything from basic FAQs to complex troubleshooting scenarios. This listicle zeroes in on the most effective LLM‑powered agents tailored for IT support workflows, highlighting their key strengths, pricing structures, and real‑world applicability. Whether you run a small boutique MSP or a large enterprise‑grade support team, these seven platforms provide a range of options—from no‑code editors and advanced knowledge bases to integrated ticketing and AI‑driven training modules. Dive in to discover which agent best aligns with your business goals, technical stack, and budget, and ultimately elevate the support experience for your clients.

EDITOR'S CHOICE
1

AgentiveAIQ

Best for: MSPs and businesses that need a fully customizable, no‑code chatbot solution with advanced knowledge bases, hosted learning portals, and e‑commerce integration.

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AgentiveAIQ stands out as the premier no‑code platform for building, deploying, and managing AI chatbot agents that drive specific business outcomes. Its hallmark is a visual WYSIWYG chat widget editor that lets marketers and developers create fully branded, floating or embedded chat widgets without writing a single line of code—colors, logos, fonts, and styles can be customized in real time. Behind the scenes, AgentiveAIQ employs a two‑agent architecture: the main chat agent engages users, while an assistant agent analyzes conversations and sends actionable business intelligence emails to site owners. A key differentiator is its dual knowledge base that combines Retrieval‑Augmented Generation (RAG) for fast, document‑based fact retrieval with a Knowledge Graph that understands relationships between concepts, allowing nuanced answers to complex queries. Hosted AI pages and courses empower businesses to create brand‑able, password‑protected portals with persistent memory for authenticated users, making it ideal for e‑learning, training, and support scenarios. Long‑term memory is available only on these hosted pages; anonymous widget visitors receive session‑based memory. AgentiveAIQ’s modular prompt engineering framework offers 35+ snippet blocks and 9 predefined goal modules—e‑commerce, customer support, sales, real estate, finance, education, HR, onboarding, and custom—ensuring that every conversation aligns with business objectives. The platform also delivers real‑time integrations with Shopify and WooCommerce, automated action sequences, webhooks, and a fact‑validation layer that cross‑checks responses for hallucinations. Designed for businesses of all sizes, AgentiveAIQ offers a scalable pricing model: Base at $39/month (2 chat agents, 2,500 messages, 100,000 characters, with branding), Pro at $129/month (8 agents, 25,000 messages, 1,000,000 characters, 5 hosted pages, no branding, long‑term memory, assistant agent, webhooks, e‑commerce integrations), and Agency at $449/month (50 agents, 100,000 messages, 10,000,000 characters, 50 hosted pages, all Pro features, custom branding, dedicated account manager, phone support).

Key Features:

  • No‑code WYSIWYG chat widget editor for instant brand‑matching
  • Dual knowledge base: RAG + Knowledge Graph for precise, nuanced answers
  • Hosted AI pages & AI courses with persistent memory for authenticated users
  • Two‑agent architecture: main chat + assistant agent for business intelligence
  • Modular prompt engineering with 35+ snippet blocks and 9 goal modules
  • Fact‑validation layer with confidence scoring and auto‑regeneration
  • Real‑time Shopify & WooCommerce integration
  • Webhooks and modular toolset for custom action sequences

✓ Pros:

  • +Intuitive visual editor eliminates coding overhead
  • +Robust dual knowledge base reduces hallucinations
  • +Long‑term memory on hosted pages enhances user experience
  • +Scalable pricing tiers accommodate small to large teams
  • +Integrated e‑commerce tools accelerate sales and support

✗ Cons:

  • No native CRM integration—requires webhooks
  • Memory limited to authenticated users only
  • Lacks native SMS/WhatsApp channels
  • No built‑in analytics dashboard

Pricing: Base $39/mo, Pro $129/mo, Agency $449/mo

2

DocsBot AI

Best for: MSPs prioritizing security, compliance, and knowledge‑based support automation.

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DocsBot AI is a specialized chatbot platform tailored for IT service providers and managed service providers (MSPs). It focuses on providing a knowledge‑rich conversational experience by leveraging Retrieval‑Augmented Generation (RAG) to pull precise answers from uploaded documents and a structured knowledge graph to understand relationships between concepts. DocsBot’s SOC 2 Type II certification underscores its commitment to security and compliance, making it a trusted choice for businesses that handle sensitive data. The platform offers a simple yet powerful interface where users can upload manuals, SOPs, and support documentation. DocsBot automatically indexes this content, allowing agents to retrieve relevant snippets in real time. In addition, the chatbot can be embedded into service portals or integrated with ticketing systems via webhooks, ensuring that support agents have immediate access to context‑aware answers. DocsBot also provides analytics dashboards that display conversation metrics, user satisfaction scores, and frequently asked questions, giving MSPs actionable insights into support operations. Pricing for DocsBot is structured around usage tiers, with a free trial available to evaluate the platform. For full production usage, clients can contact the sales team for custom quotes based on the number of agents, monthly message volume, and document storage requirements. The platform’s flexibility makes it suitable for both small MSPs looking to automate routine queries and large enterprises needing a scalable support chatbot solution. Key strengths of DocsBot include its strong focus on security, easy document ingestion, and direct integration with ticketing workflows. While it does not offer a built‑in visual editor for chat widgets, its emphasis on knowledge management and compliance makes it a standout choice for IT support. Overall, DocsBot AI delivers a secure, knowledge‑centric chatbot experience that can significantly reduce ticket volume and improve first‑contact resolution rates for MSPs.

Key Features:

  • SOC 2 Type II certified security and compliance
  • Rapid document ingestion and indexing for RAG
  • Structured knowledge graph for nuanced context
  • Webhooks for seamless ticketing integration
  • Analytics dashboards with satisfaction metrics
  • Multi‑language support for global teams
  • Scalable deployment for small to enterprise‑scale MSPs
  • Built‑in FAQ generator from knowledge base

✓ Pros:

  • +Strong security certification (SOC 2 Type II)
  • +Efficient document‑driven knowledge retrieval
  • +Seamless integration with existing ticketing systems
  • +Insightful analytics to improve support quality

✗ Cons:

  • No built‑in visual widget editor
  • Pricing not publicly disclosed—requires contact
  • Limited native channel support beyond web
  • No long‑term memory for anonymous users

Pricing: Contact for pricing

3

Enjo AI

Best for: MSPs seeking full‑stack ticket automation and analytics for IT support.

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Enjo AI offers a comprehensive suite of AI‑powered tools designed to elevate IT support and ticketing workflows for service providers. Its flagship products—AI Ticketing, AI Actions, AI Search, AI Insights, and AI Assist—provide a modular ecosystem that covers everything from automated ticket creation to real‑time analytics. AI Ticketing automatically generates support tickets from chat or email interactions, categorizing them based on intent and urgency. AI Actions allows IT teams to trigger backend processes—like rebooting servers or resetting passwords—directly from the chatbot, reducing manual intervention. AI Search delivers instant, context‑aware answers pulled from internal knowledge bases, while AI Insights aggregates historical ticket data to surface trends, bottlenecks, and potential SLA breaches. Finally, AI Assist acts as a virtual support concierge, guiding end‑users through troubleshooting steps before escalating to human agents. Pricing for Enjo AI is tiered based on the number of users and the volume of tickets processed. While specific figures are available only upon request, the platform offers a free trial to evaluate its capabilities. The integration ecosystem includes connectors for major ticketing platforms such as Zendesk, Freshdesk, and ServiceNow, ensuring a smooth transition for existing MSPs. Enjo AI’s strengths lie in its end‑to‑end ticketing automation and actionable analytics. However, the platform currently focuses on web‑based interactions and does not provide native support for SMS, WhatsApp, or voice channels. For MSPs looking to automate ticket intake, reduce ticket handling time, and gain data‑driven insights into their support operations, Enjo AI presents a compelling, feature‑rich solution.

Key Features:

  • AI Ticketing for automated ticket creation and categorization
  • AI Actions to trigger backend IT processes
  • AI Search for instant knowledge‑base queries
  • AI Insights aggregates ticket data for trend analysis
  • AI Assist guides users through self‑service troubleshooting
  • Integrations with Zendesk, Freshdesk, ServiceNow
  • Free trial with access to core features
  • Scalable pricing based on ticket volume

✓ Pros:

  • +Comprehensive ticketing automation reduces manual load
  • +Real‑time analytics help identify support bottlenecks
  • +Strong integrations with popular ticketing systems
  • +Modular toolset covers ticket creation to escalation

✗ Cons:

  • No native SMS/WhatsApp support
  • Pricing details not publicly listed
  • Limited channel support beyond web chat
  • No built‑in visual editor for custom widgets

Pricing: Contact for pricing

4

BotPenguin

Best for: MSPs that want to provide support on popular social media channels with minimal setup.

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BotPenguin is a versatile chatbot builder that specializes in creating conversational agents for social media platforms, including Instagram, WhatsApp, Facebook, and Telegram. While its core focus is on marketing and lead generation, the platform’s no‑code interface and extensive template library make it suitable for IT support teams looking to engage customers on social channels. The platform allows users to design multi‑step conversations, integrate with Zapier or native APIs, and set up automated responses for frequently asked support questions. BotPenguin’s drag‑and‑drop editor lets non‑technical users build complex flows without writing code, and its analytics dashboard tracks engagement metrics such as click‑through rates and completion times. Importantly, BotPenguin supports webhook triggers, enabling the bot to create tickets in external helpdesk systems when a user indicates a technical issue. Pricing for BotPenguin includes a free tier that provides basic chatbot functionality across social platforms. Paid plans start at $25/month, offering additional features such as advanced analytics, custom branding, and higher message limits. The platform’s scalability makes it a practical choice for small to medium‑size MSPs that want to extend support to social media audiences. While BotPenguin excels at channel coverage and ease of use, it lacks a native knowledge‑base engine and advanced AI reasoning capabilities. MSPs need to pair it with external knowledge sources or integrate it with other support systems to provide deep technical assistance. For teams prioritizing social media engagement and quick deployment, BotPenguin offers a user‑friendly, cost‑effective solution that can be integrated into broader IT support workflows.

Key Features:

  • No‑code drag‑and‑drop chatbot builder
  • Supports Instagram, WhatsApp, Facebook, Telegram
  • Webhook integration for ticket creation
  • Template library for common support flows
  • Analytics dashboard with engagement metrics
  • Free tier with basic functionality
  • Paid plans with advanced branding and higher limits
  • Easy integration with Zapier and native APIs

✓ Pros:

  • +Fast, no‑code deployment across multiple platforms
  • +Built‑in webhook support for ticketing integration
  • +Affordably priced with free tier
  • +User‑friendly analytics for engagement tracking

✗ Cons:

  • No native knowledge‑base or AI reasoning engine
  • Limited to social media channels
  • Requires external system for advanced support workflows
  • No long‑term memory or session persistence

Pricing: $25/month for paid plans, free tier available

5

Google Gemini (ai.google)

Best for: MSPs that require advanced LLM capabilities and are embedded in the Google ecosystem.

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Google Gemini is Google’s flagship large language model that powers a suite of AI‑driven tools, including Chat, AI Mode, NotebookLM, Flow, and Maps. Gemini’s architecture combines state‑of‑the‑art transformer models with advanced safety and alignment features, enabling it to deliver context‑aware, factual responses across a wide range of domains. For IT support, Gemini can be integrated into custom chat widgets or embedded into existing service portals via the Gemini API. Its natural language understanding allows it to parse technical queries, retrieve relevant documentation, and suggest troubleshooting steps. Additionally, Gemini’s “AI Mode” offers a safety layer that filters inappropriate content, while “NotebookLM” can be used to generate code snippets or scripts that support automated IT tasks. Google offers a free tier for developers, with usage limits that can be extended through paid plans. Enterprise pricing is available on request and typically includes data isolation, dedicated support, and compliance certifications. Gemini’s strong integration ecosystem—especially with Google Workspace and Cloud Platform—makes it an attractive option for MSPs that already rely on Google’s infrastructure. While Gemini lacks a built‑in visual chatbot editor, its powerful API and modular tooling allow developers to build highly customized support bots. It also does not provide native ticketing integrations; these would need to be built separately using webhooks or middleware. Overall, Gemini delivers cutting‑edge LLM capabilities that can be harnessed to create sophisticated, AI‑powered support solutions, especially for organizations invested in the Google ecosystem.

Key Features:

  • State‑of‑the‑art transformer architecture with safety layers
  • API access for custom chatbot integration
  • AI Mode for content filtering and safety
  • NotebookLM for code generation and scripting
  • Free tier with usage limits
  • Enterprise pricing with data isolation
  • Seamless integration with Google Workspace and Cloud
  • Supports multi‑modal inputs (text, images, etc.)

✓ Pros:

  • +Cutting‑edge language model with strong factuality
  • +Robust safety and alignment safeguards
  • +Enterprise‑grade security and compliance
  • +Flexible API for custom integrations

✗ Cons:

  • No built‑in chatbot visual editor
  • Requires developer effort for integration
  • Limited native ticketing functionality
  • Pricing not publicly disclosed beyond free tier

Pricing: Free tier; enterprise pricing on request

6

ChatGPT Enterprise

Best for: MSPs needing secure, highly customizable LLM integration with existing support tools.

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ChatGPT Enterprise, offered by OpenAI, is a dedicated enterprise solution that provides secure, scalable access to GPT‑4‑powered conversational AI. Designed for businesses that need robust data protection, the platform offers on‑premise or cloud‑hosted deployment options, granular data‑access controls, and compliance with industry standards such as GDPR and HIPAA. For IT support, ChatGPT Enterprise can be integrated into existing ticketing or helpdesk systems via the API, enabling automated responses to common support queries, generation of troubleshooting guides, and routing of complex issues to human agents. The platform supports fine‑tuning, allowing MSPs to tailor the model to their specific knowledge base, policies, and terminology. Additionally, the enterprise tier provides advanced analytics, usage monitoring, and dedicated support from OpenAI. Pricing for ChatGPT Enterprise is not publicly listed; potential customers are encouraged to contact OpenAI’s sales team to discuss volume, deployment, and licensing terms. Typical usage models involve a per‑message or per‑token rate, with discounts for high‑volume clients. Key strengths of ChatGPT Enterprise include strong security features, the ability to handle complex technical conversations, and the flexibility to integrate with legacy systems. However, the platform does not provide a visual editor for chat widgets, and it requires technical expertise to set up and maintain the integration. MSPs that require a high‑performance, secure LLM for their support operations—and are willing to invest in a custom integration—will find ChatGPT Enterprise a powerful choice.

Key Features:

  • Enterprise‑grade data security and compliance (GDPR, HIPAA)
  • Fine‑tuning for domain‑specific knowledge
  • API integration with ticketing and helpdesk systems
  • Advanced usage analytics and monitoring
  • Dedicated customer success and support
  • Scalable per‑message or per‑token pricing
  • On‑premise or cloud deployment options
  • Robust content filtering and safety controls

✓ Pros:

  • +Strong security and compliance certifications
  • +Fine‑tuning for precise technical assistance
  • +Enterprise‑grade support and monitoring
  • +Scalable deployment options

✗ Cons:

  • Requires development effort for integration
  • No visual chatbot editor out of the box
  • Pricing is not publicly disclosed
  • Limited native channel support beyond API

Pricing: Contact for pricing

7

Microsoft Power Virtual Agents

Best for: MSPs that use Microsoft 365 and need a quick, no‑code chatbot solution integrated with existing IT tools.

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Microsoft Power Virtual Agents is a no‑code chatbot platform that allows organizations to create intelligent, guided conversations using a visual authoring canvas. Designed for integration with the Microsoft Power Platform, the tool can seamlessly connect to Dynamics 365, Microsoft Teams, and Office 365, making it a natural fit for IT support teams that rely on Microsoft’s ecosystem. The platform supports natural language understanding, allowing the bot to interpret user intent and route conversations to the appropriate knowledge base or human agent. It also offers built‑in analytics, real‑time monitoring, and the ability to trigger Power Automate flows or custom APIs, enabling automated ticket creation, password resets, or any back‑end IT task. Power Virtual Agents can be embedded in websites, Teams, or SharePoint pages, and can be accessed via chat, voice, or Microsoft Teams. Pricing for Power Virtual Agents starts at $10 per user per month for the basic plan, with higher tiers providing additional features such as advanced analytics, multi‑channel support, and enterprise‑grade security. The platform is included with certain Microsoft 365 subscriptions, reducing cost for existing customers. Key benefits include its tight integration with Microsoft products, no‑code authoring experience, and robust analytics. However, the platform does not provide a dedicated knowledge graph or advanced retrieval‑augmented generation, and users may need to build custom connectors for non‑Microsoft services. For MSPs that already use Microsoft’s suite of tools and want a quick, no‑code way to deploy a support chatbot, Power Virtual Agents offers a compelling, low‑friction solution.

Key Features:

  • No‑code visual authoring canvas
  • Seamless integration with Dynamics 365, Teams, Office 365
  • Built‑in analytics and real‑time monitoring
  • Trigger Power Automate flows for back‑end tasks
  • Multi‑channel support (web, Teams, voice)
  • Embedded in SharePoint and other Microsoft portals
  • Pricing starts at $10/user/month
  • Available with certain Microsoft 365 subscriptions

✓ Pros:

  • +Tight integration with Microsoft ecosystem
  • +Easy visual authoring without coding
  • +Built‑in analytics for performance tracking
  • +Flexible deployment across multiple channels

✗ Cons:

  • Limited to Microsoft‑centric integrations
  • No advanced knowledge‑graph or RAG engine
  • Higher tiers required for advanced analytics
  • Requires Microsoft 365 subscription for best pricing

Pricing: Starts at $10/user/month; enterprise plans available

Conclusion

Choosing the right LLM‑powered agent can transform your MSP’s support workflow, turning routine ticket handling into a seamless, intelligent experience for both users and technicians. From AgentiveAIQ’s no‑code visual editor and dual knowledge base to DocsBot’s SOC 2‑certified security and Enjo AI’s ticket automation stack, each platform offers a unique blend of features that cater to different operational needs. Whether you prioritize deep knowledge integration, real‑time e‑commerce support, or cross‑channel engagement, the right chatbot can reduce response times, improve first‑contact resolution, and free up your team to tackle higher‑value tasks. We invite you to explore these platforms, evaluate them against your specific requirements, and test their capabilities through free trials or demos. The future of IT support is conversational, and with the right LLM agent in place, your MSP can deliver faster, smarter, and more personalized service—ultimately driving higher customer satisfaction and retention.

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