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Microsoft’s AI Agent vs Lindy: Which One’s Right for You?

Microsoft’s AI Agent vs Lindy: Which One’s Right for You?

Flo Crivello
CEO
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Jack Jundanian
Written by
Lindy Drope
Founding GTM at Lindy
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Flo Crivello
Reviewed by
Last updated:
November 19, 2025
Expert Verified

I’ve tested and compared the Microsoft AI Agent vs Lindy across setup, features, capabilities, and pricing. Here’s a detailed analysis to help you pick the right one based on your team and needs.

What are Microsoft AI Agents & how does the Microsoft Agent Framework work?

The Microsoft Agent Framework is a structured environment that lets you create, train, and manage intelligent AI agents across Microsoft’s ecosystem. It connects Copilot Agents, Copilot Studio, and Azure AI Foundry under one platform. 

When comparing Microsoft AI Agent vs Lindy, this framework is Microsoft’s approach to AI agents that target technical teams operating within Microsoft 365 or Azure environments. These agents help automate workflows inside apps like Teams, Outlook, and Dynamics, but require setup, configuration, and ongoing maintenance by developers or IT admins.

Let’s explore it in detail: 

Copilot Agents

Copilot Agent is Microsoft’s term for a customizable AI helper that can handle specific workflows within tools like Teams, Outlook, or Dynamics. These agents use natural language to understand tasks, take actions, and respond to users inside Microsoft 365. 

They act like digital coworkers that handle repetitive or data-intensive work, helping employees focus on high-value, strategic tasks.

Copilot Studio

Copilot Studio is the workspace where you can build and configure these agents. Developers and IT admins can use it to define how an agent behaves, what data it accesses, and which actions it can take. 

It also allows enterprises to build their own Copilots for internal systems or integrate existing ones into business processes.

Azure AI Foundry

Azure AI Foundry adds the infrastructure and scale behind those agents. It hosts the models, provides evaluation tools, and manages deployment and monitoring. This helps organizations move from prototype to production while maintaining performance, reliability, and compliance.

Entra Agent ID

Entra Agent ID gives each AI agent its own verified digital identity. This makes it possible to manage permissions, track usage, and enforce security rules like any other employee account. It ensures that every action taken by an agent is visible and accountable.

Together, these tools make Microsoft’s Framework ideal for enterprises, developers, and IT teams that need automation inside a controlled environment with strong governance and data security. 

But how do these Microsoft AI Agents compare with no-code tools like Lindy? Let’s answer that next.

Microsoft’s AI Agent vs Lindy: What’s the difference?

A Microsoft AI Agent works within the Microsoft 365 ecosystem using Copilot Studio and Azure AI Foundry. 

Lindy, on the other hand, is a no-code AI platform that lets anyone create custom AI agents that handle recurring, tedious tasks across email, CRM, and collaboration tools.

Here’s how they differ: 

Feature Microsoft AI Agents Lindy
Best for Large enterprises, IT-led teams Small and medium businesses, startups, and non-technical teams
Setup Requires Microsoft 365 + Azure Browser-based, no code
Governance Strong identity and auditing Simple admin controls
Pricing Enterprise licensing Transparent usage-based

Which AI agent tool to choose: TL;DR

Choose Microsoft AI Agents if your company already uses Microsoft 365 or Azure, needs strict identity management, and wants every workflow to stay inside that ecosystem.

Choose Lindy if your team works across multiple apps, wants quick automation without coding, or needs affordable AI agents for everyday operations.

Next, we explore each tool in detail to understand what features make it stand out.

Microsoft’s AI Agent: Features and highlights

Microsoft’s AI Agent framework runs across the entire Microsoft 365 suite and links productivity tools with AI. Here’s what it offers:

Copilot Agents across Microsoft 365 

These agents work within familiar apps like Teams, Outlook, and Excel. They schedule meetings, draft responses, summarize chats, and manage documents. Because they operate inside these tools, users interact naturally through chat or voice without leaving their workflow.

Custom agent building in Copilot Studio

Organizations have complete control over how agents behave. IT teams can define conversation flows, link company data sources, and connect to APIs or Power Automate flows. This helps teams create agents for internal tasks like help-desk triage or HR onboarding.

Azure AI Foundry 

Orchestration and scaling happen inside the Foundry. It helps developers select and manage models, monitor performance, and apply safety checks before agents go live.

Governance and analytics 

With Entra Agent ID and centralized dashboards, organizations can review every interaction, monitor compliance, and manage permissions across teams.

Let’s now see what Lindy has to offer.

Lindy: Features & highlights

Lindy focuses on ease of use, speed, and business use cases for small and mid-sized businesses. These features make it stand out:

Create AI agents without writing code

Anyone can create agents using Lindy’s simple visual builder and prebuilt templates. You can create AI agents to act as your AI receptionist, handle inbound calls, book appointments, follow up on sales leads, or even parse PDFs and summarize customer documents. There’s no need for coding or prompt engineering. 

Automate cross-platform workflows 

Lindy agents can send emails and texts, update CRMs, make and receive phone calls, and automate tasks across apps. You can combine different platforms into a single workflow. 

For example, you can have AI agents in a workflow to call leads, schedule meetings, update the calendar, join the meeting, and create a list of action items along with a transcript.

Lindy App Builder

Lindy Build lets you create full-stack apps by describing them in natural language. You need not write a single line of code. Its QA agents scan the code for bugs and fix them.

4,000+ integrations 

Lindy lets you integrate your business apps with automation workflows with ease, including CRMs, email, and productivity tools.

Clear pricing tiers 

You get a free plan with up to 40 monthly tasks to test the platform. The paid tiers start from $49.99/month for up to 1,500 tasks, billed monthly. You can also buy AI phone numbers for $10/number. This transparent model helps teams automate more without large upfront costs.

All these features make Lindy ideal for non-technical teams that want flexible automation without depending on IT or developers.

Microsoft’s AI Agents vs Lindy: Comparison of the most important parameters

I considered workflow automation, integrations, security, and several other factors, and compared the Microsoft AI Agent with Lindy to find which one does better. Here’s how they stack up:

1. Workflow automation

Microsoft’s Framework handles workflows inside the Microsoft 365 environment. Copilot Agents can summarize meetings, route emails, or trigger Power Automate flows, but they’re tied to Microsoft apps and data sources. That makes setup dependable yet less flexible.

Lindy focuses on cross-app automation. A single agent can move between Slack, Gmail, HubSpot, and Notion without extra connectors or IT setup. It lacks the Office integration Microsoft offers, but it works better for diverse tool stacks.

Lindy wins for multi-app flexibility and ease of setup.

2. Integrations & ecosystem

Microsoft excels in internal depth with Outlook, Teams, SharePoint, Dynamics, and Azure AD. External integrations exist through Power Automate and Graph API, though they often need admin approval.

Lindy supports more than 4,000 app integrations, including popular SaaS tools. It connects to CRMs, email platforms, and communication apps without custom coding.

Pick Lindy for broader ecosystem coverage.

3. Ease of use

Microsoft’s Copilot Studio targets IT teams and developers. It demands environment setup, licensing, and permission control before deployment.

Lindy suits non-technical users. Its drag-and-drop builder and templates shorten setup from days to hours.

Lindy beats Microsoft for accessibility and speed.

4. Pricing & value

Both tools follow a different pricing method. Here’s how they compare:

Tool Free Plan Paid Plan Pricing Model Notes
Microsoft AI Agent None Microsoft 365 from $8/user/month + Copilot Studio from $200/month, both billed yearly Add-on, requires a Microsoft 365 license Cost depends on Microsoft 365 + Azure tiers
Lindy Yes, up to 40 tasks/month From $49.99/month Credit-based Pay only for the credits your tasks and minutes consume

The total cost of Microsoft’s AI Agent combines the Microsoft 365 license and Microsoft Copilot Studio pricing. Lindy offers a better pricing model for most teams as it is more transparent and predictable.

5. Security & compliance

Microsoft provides unmatched security and compliance for enterprises with Entra Agent ID, tenant isolation, and audit trails.

Lindy is SOC 2 and HIPAA compliant with AES-256 encryption. It works well for small and medium businesses, but doesn’t come close to the control Microsoft offers.

Microsoft wins for its advanced enterprise compliance.

6. Governance & data control

Microsoft enables complete control through identity-based permissions and centralized logs. Lindy includes role settings but fewer admin layers.

Microsoft provides granular oversight, which is better for teams in regulated industries.

7. Developer ecosystem & customization

Microsoft provides SDKs, APIs, and Azure AI Foundry extensions for custom logic. Lindy relies on no-code customization and template editing, not full SDK support.

How easily can you add these to your tech ecosystems?

Microsoft offers governance inside its ecosystem, while Lindy gives businesses the freedom to connect and automate across whatever tools they already use.

Let’s see how they integrate with other tools:

Microsoft 

Microsoft’s AI Agent framework works like a dream within the Microsoft 365 and Azure environment. Agents run inside apps like Outlook, Teams, and Dynamics, drawing context from Microsoft Graph and enforcing company policies through Entra ID. 

This setup works best for organizations that rely on Microsoft infrastructure and want AI features integrated with their existing data and compliance tools.

Lindy

Lindy operates across a wide variety of platforms. It connects with HubSpot, Slack, Gmail, Notion, Salesforce, and 4,000+ other apps, enabling smooth automation across different ecosystems. 

Teams that use a mix of tools can link them together without being locked into one provider.

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How to train and customize your AI agent

Microsoft’s AI Agent training happens through Copilot Studio and Microsoft Graph data. Copilot Studio connects agents to Microsoft Graph, letting them draw context from emails, calendars, files, and chats. 

Developers can refine behavior through conversation flows, data connectors, and prompt rules. Azure AI Foundry supports extensive customization, allowing teams to test models, evaluate performance, and control deployment. This setup works best for technical users who want precision and oversight.

Lindy focuses on speed and simplicity. Agents learn through prompts, a knowledge base, and feedback loops instead of code. Users can describe what they need, such as summarizing meetings, managing leads, or scheduling calls, and the platform builds the workflow visually. 

You can adjust and edit the steps or connected apps visually without writing code.

Here’s the gist: Microsoft gives you developer control, while Lindy emphasizes non-technical usability and quick configuration.

What real users are saying

Feedback for both platforms shows how they serve very different audiences. Here’s what I found from the reviews online:

Microsoft AI Agents

  • Pros 
    • Users on Microsoft Tech Community and Reddit note that Copilot Agents are capable when you build them on top of Microsoft 365 data. 
    • Many praise the framework’s security, data residency, and audit logging through Entra ID.
    • Enterprise IT teams also like that it integrates with existing compliance setups and Azure management tools.
  • Cons 
    • Common complaints mention complexity and licensing. 
    • Users mention that Copilot Studio requires multiple subscriptions, and setup can take time.
    • Smaller teams say it feels heavy for simple automations.

Lindy

  • Pros 
    • G2 and Reddit reviews highlight how fast teams can build working agents. 
    • Users like its no-code builder, flexible integrations, and reliable CRMs and communication tools support.
  • Cons 
    • Some reviews note that complex workflows may take some time to set up. 
    • It also lacks advanced analytics compared to enterprise tools.

How to choose the right AI platform

Choosing between Microsoft’s AI Agent and Lindy depends on your infrastructure, team size, and technical needs. These are a few scenarios to help you decide:

Pick Microsoft’s AI Agent if:

  • You are a large enterprise with IT resources that prioritizes security and governance
  • Your team already has Microsoft 365 and Azure infrastructure

Pick Lindy if:

  • You are a small or medium-sized business, startup, or operational team that needs automation fast
  • You don’t have the developer resources or technical skills

My verdict

Both platforms let you use AI agents differently. Microsoft’s AI Agent framework is ideal for enterprises that value control, compliance, and seamless Microsoft 365 integration. It delivers strict governance and identity management through Entra Agent ID, but demands more setup.

Lindy focuses on easy, no-code AI automation. It helps smaller teams build and deploy multi-channel agents quickly without technical help. Its visual builder, ready-to-use templates, 4,000+ integrations, and clear pricing make it more accessible to non-technical users.

If you’re deep into Microsoft’s ecosystem and have the resources for its AI agents, go with Microsoft’s AI Agent Framework. But for small and medium teams without technical expertise, Lindy is the ideal choice.

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Lindy, your no-code Microsoft AI Agent alternative

Lindy lets you create custom AI agents to automate tasks across workflows without writing code or a complex setup. Pre-built templates and 4,000+ integrations help you get started quickly.  

Lindy helps automate your workflows with features like: 

  • Drag-and-drop workflow builder for non-coders: You don’t need any technical skills to build workflows with Lindy. It offers a drag-and-drop visual workflow builder. 
  • Create AI agents for your use cases: You can give them instructions in everyday language and automate repetitive tasks. For instance, create an assistant to find leads from websites and sources like People Data Labs. Create another agent that sends emails to each lead and schedules meetings with members of your sales team.  
  • Supports tasks across different workflows: Lindy handles meeting notes, website chat, lead generation, and content creation. You can create AI agents that help reduce manual work in training, content, and CRM updates.
  • Send follow-up emails and keep everyone in sync: Lindy agents can send follow-up emails and keep everyone in the loop by triggering notifications in Slack by letting you build a Slackbot
  • Lead enrichment: You can configure Lindy to use a prospecting API to research prospects and to provide sales teams with richer insights before outreach. 
  • Automated sales outreach: Lindy can run multi-touch email campaigns, follow up on leads, and write follow-up replies using open rates, clicks, and prior messages.
  • Cost-effective: Automate up to 40 monthly tasks with Lindy’s free version. The paid version lets you automate up to 1,500 tasks per month, which is a more affordable price per automation compared to many other platforms. 

Try Lindy free and automate up to 40 tasks with your first workflow. 

Frequently asked questions

What is Microsoft’s AI Agent?

Microsoft’s AI Agent is a framework that allows organizations to create and manage intelligent assistants across Microsoft 365 and Azure. You can build these agents in Copilot Studio and automate workflows like summarizing meetings, drafting responses, or internal hand-offs. 

How does the Microsoft AI Agent Framework work?

The Microsoft AI Agent Framework works by combining Copilot Studio, Azure AI Foundry, and Entra Agent ID. Together, they give enterprises a unified system for automation inside Microsoft 365 and Azure.

Copilot Studio lets teams build and configure agents, Azure AI Foundry manages and scales them, and Entra Agent ID handles security and permissions. 

How does pricing compare between Microsoft’s AI Agent and Lindy?

Microsoft AI Agent pricing depends on Microsoft 365 or Azure subscriptions, with the additional cost of a Copilot Studio subscription to create AI agents. Lindy uses a credit-based model with a free plan for up to 40 tasks and paid tiers starting at $49.99/month.

Can Lindy integrate with Microsoft 365 and Azure apps?

Yes, Lindy integrates with Outlook, Teams, and other Microsoft tools. Its massive integration library, with more than 4,000 integrations, allows it to connect with non-Microsoft apps like HubSpot, Gmail, Slack, and Notion.

Is Microsoft’s AI Agent suitable for SMBs?

Microsoft’s AI Agent can support SMBs, but setup and licensing are complex. Smaller teams usually find Lindy’s no-code builder and lower costs more practical.

How are AI agents trained in each platform?

Microsoft agents use the organizational data from Microsoft Graph for training, while Lindy relies on user inputs and feedback through a no-code interface.

Which AI platform offers better long-term value in 2025?

Lindy offers better long-term value in 2025, especially for small businesses with lean, non-technical teams. Enterprises, however, will benefit from Microsoft Agent Framework because of the ecosystem, governance, and security it offers.

About the editorial team
Flo Crivello
Founder and CEO of Lindy

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Education: Master of Arts/Science, Supinfo International University

Previous Experience: Founded Teamflow, a virtual office, and prior to that used to work as a PM at Uber, where he joined in 2015.

Lindy Drope
Founding GTM at Lindy

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Education: Master of Arts/Science, Supinfo International University

Previous Experience: Founded Teamflow, a virtual office, and prior to that used to work as a PM at Uber, where he joined in 2015.

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