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Become the AI Expert in Your Industry

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This might be the biggest opportunity in AI right now: take your industry expertise, apply new AI knowledge, and become the AI expert in your industry.

See, a recent McKinsey report stated that AI adoption in the workplace has actually remained stagnant from 2021 to 2023.

I believe that’s because most people have a general understanding of AI, but they have no idea how to use it in their specific industry. There’s a huge opportunity to become the person who shows people how to apply AI to your industry. Focus on teaching use cases actually relevant to their daily work.

The more niche you get, the bigger impact you can have.

How do you become the AI expert in your industry?

First, position yourself as the "AI Person" at your company. Share your learnings and experiments with colleagues and other people in your industry.

There's no shortage of people looking to make their lives easier. Start by helping those around you.

To take it a step further, share your insights online.

You know I love TikTok, but it doesn’t matter which platform you choose. TikTok, LinkedIn, Twitter, Instagram, YouTube, whatever. The steps are simple.

  1. Learn about AI
  2. Use it in your industry
  3. Share online how you’re doing that.
  4. Repeat for months-years

If your content is helpful and you do it for long enough, you’ll start to be seen as the AI expert for your industry. You'll have the opportunity to make a significant impact by applying the power of AI to address specific problems within your field.

Remember: every industry needs an AI expert, you can be it.

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Cassidy vs. Make.com
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Cassidy vs. Make.com

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AI-Embedded Automation vs. API-Driven Workflows

Automation has evolved beyond simple “if this, then that” workflows. Cassidy is an AI-native automation platform built for teams that need automation with human-like judgment, not just predefined app connectors. By embedding AI at every level, Cassidy can understand context, make decisions, and even interact with users as an assistant.

Make.com, on the other hand, is a traditional visual workflow builder that treats AI as an external add-on. Users can connect AI services via API modules, but AI isn’t an intrinsic part of every workflow. While Make.com excels at connecting apps in complex scenarios, it lacks built-in AI capabilities like memory or autonomous decision-making.

For enterprise decision-makers, this difference is critical. Below, we compare Cassidy and Make.com across key areas.

Feature Cassidy (AI-Driven) Make.com (Workflow Automation)
AI Integration ✅ Built-in AI powers every step ❌ No native AI, requires external API calls
AI Assistants ✅ Interactive assistants in Slack, Teams, etc. ❌ No AI assistants, only workflows
Enterprise Scalability ✅ Enterprise-grade (SOC 2 Type II, SSO, granular permissions) ⚠️ Basic/limited enterprise features (no SOC 2 yet, simple team roles)
Customization & Flexibility ✅ AI-powered workflows adapt with context ⚠️ Visual workflows with manual logic, no AI context memory
Use Case Fit ✅ Advanced AI use cases (assistant-driven processes, content generation) ❌ Basic app automation, lacks AI-driven actions

Embedded Intelligence vs. "Add-On" AI

Cassidy has AI built into every workflow, making it seamless to analyze data, generate content, and take intelligent actions. Workflows can process unstructured information, reference a knowledge base, and make decisions without needing manual API calls. AI is deeply embedded, meaning users don’t have to configure prompts or external services for each step.

Make.com treats AI as an optional add-on. To use AI, you must manually insert an API call (e.g., OpenAI) into a workflow, manage API keys, and configure prompts. There’s no native memory or knowledge retention, so workflows don’t improve over time. AI in Make is an external tool, not a core part of automation.

AI Assistants – Interactive AI vs. Static Workflows

Cassidy offers real-time AI assistants that integrate into Slack, Teams, and Chrome. These assistants can answer questions, generate responses, and automate tasks based on context. A sales assistant can draft personalized outreach, while an IT assistant can troubleshoot employee requests—all within chat.

Make.com does not have AI assistants. It is focused on background workflows and lacks an interface for employees to interact with AI in real-time. While you could trigger workflows from Slack, Make provides no built-in AI agent that understands context or remembers past interactions.

Enterprise Scalability – Built for Large Organizations

Cassidy is enterprise-ready with SOC 2 Type II compliance, SSO, granular permissions, and access controls. AI can be restricted by role, ensuring security across departments. Its infrastructure is designed for scalability and compliance at an enterprise level. Visit our trust center here.

Make.com, while growing in enterprise features, lacks SOC 2 Type II certification and has simpler role-based permissions. It is well-suited for team-based automation but requires additional governance setup for large-scale deployments.

AI-Driven Flexibility vs. Predefined Workflows

Cassidy lets teams build AI-powered workflows that adapt dynamically. AI can process data, make decisions, and adjust workflows on the fly. Enterprises can use different AI models (GPT-4, Claude) and fine-tune outputs, creating intelligent automations that improve over time.

Make.com is a powerful visual workflow builder but lacks AI adaptability. Workflows require predefined logic, meaning users must manually configure every step. AI cannot influence decisions without external scripting, making automation more rigid.

Use Cases – Where Cassidy Delivers More Value

Cassidy enables AI-powered automation that goes beyond simple workflows, making it ideal for:

  • RFP Automation: AI reads documents, finds relevant answers, and drafts responses using past knowledge.
  • Sales & Marketing Copilots: Assistants research prospects, summarize insights, and generate personalized outreach.
  • Customer Support AI: AI triages support tickets, drafts responses, and escalates urgent issues in real time.
  • HR & Compliance Automation: AI reviews policies, answers employee questions, and ensures regulatory compliance.

Make.com is best for structured app integrations, such as syncing CRM records, sending notifications, or processing simple data flows. AI is an enhancement, not a core function.

Choosing the Right Automation Platform for Your Enterprise

Cassidy is designed for enterprises that need AI-powered workflows and assistants that evolve with their business. Its AI is deeply embedded, making automation more intelligent, adaptable, and scalable.

Make.com is an excellent tool for building structured workflows, but its AI capabilities are limited to external API calls. For enterprises looking to automate complex, AI-driven processes, Cassidy is the more future-proof investment.

Ready to experience Cassidy firsthand? Book a demo today to see how an AI-first automation platform can unify knowledge, streamline processes, and transform the way your teams work.

Cassidy vs n8n
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Cassidy vs n8n

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AI Automation Platform Comparison

Today, stitching together integrations isn’t enough. Teams need automation that actually has human-level judgement: saving time, reducing complexity, and boosting productivity through AI. Two platforms often mentioned in this space are cassidyai.com and n8n.io. While both can help automate workflows, there’s a lot that is not possible with any tool other than Cassidy.

Check out the table below for a quick comparison, then read on to learn why Cassidy stands out for true AI-powered automation.

Feature / Capability Cassidy n8n.io
Core Focus AI-driven automations and assistants General workflow automation
Built-in AI ✅ Yes, native AI at the core ❌ No, requires external AI integration
Knowledge Base ✅ Yes, organizes & secures docs, powering AI ❌ No, must stitch content sources manually
AI Assistants ✅ Yes, ready-to-use for Sales, Support, etc. ❌ No, user must craft custom bots via external AI
Ease of Use for Non-Tech Teams ✅ Very user-friendly, no-code interface ⚠️ Somewhat technical; visual workflow builder
Replace/Enhance Existing Tools ✅ Can handle tasks like RFPs, lead enrichment, support triaging ❌ Mostly connects apps; limited AI content generation
Security & Access Control ✅ Granular permissioning & Collections for knowledge segmentation ❌ Limited user-level permissions; relies on hosting/security setup
Integrations ✅ Growing library (Slack, Teams, CRMs, Chrome extension) ✅ Wide range, though less AI-focused
Ideal User Business & enterprise teams seeking AI-powered automation Technical teams building custom data connections

AI-Driven vs. General Automation

The biggest difference? Cassidy is built for AI-first automation, while n8n.io simply adds AI as an option.

n8n.io is a general workflow tool. It moves data, triggers tasks, and connects apps. AI isn’t embedded; it’s something you manually add by configuring external APIs like OpenAI, setting up prompts, and managing responses. It’s flexible, but requires technical work to actually utilize AI.

Cassidy, by contrast, has AI built into every workflow. Its Knowledge Base gives AI instant, secure access to your company’s data. This means that automations don’t just run—they understand, generate content, and improve over time. AI in Cassidy isn’t an add-on; it’s the foundation of how the platform works.

If you need AI-powered automation that works immediately without complex setup, Cassidy is the clear choice.

Cassidy is Built for Non-Technical Users—n8n.io is Not

Unlike n8n.io, which requires technical setup, Cassidy is built for anyone to create AI-powered workflows with no coding, no APIs, no complexity.

With Cassidy, non-technical teams can build their own AI-driven tools, whether it’s:
Submitting an RFP and having Cassidy generate responses automatically
Creating AI-driven sales outreach with contextual lead insights
Automating customer support with AI that understands and asks for human approval before responding

These workflows aren’t even possible in n8n.io without heavy technical work. n8n.io is a developer tool, requiring manual setup and API connections, while Cassidy lets anyone build intelligent automations in minutes.

Knowledge Base as the AI Foundation

Cassidy’s Knowledge Base isn’t just a document store, it’s what makes its AI powerful. Every workflow and AI Assistant learns from and contributes to your business data, meaning automations get smarter over time.

In contrast, n8n.io doesn’t have a knowledge base. You can connect it to data sources, but each workflow step has to manually fetch and process information—nothing is remembered or optimized automatically. This means AI in n8n lacks context and must be reconfigured whenever you want it to "know" something new.

With Cassidy, AI instantly understands your business and improves with every interaction.

Workflows: Embedded AI vs. AI as an Add-On

The way Cassidy and n8n handle workflows isn’t just different—it completely changes what’s possible with automation.

With Cassidy, AI isn’t just a step in the workflow—it’s embedded into every part of it. Each workflow can access and contribute to the Knowledge Base, meaning automations don’t just execute tasks, they learn and improve over time. For example, if Cassidy automates a customer support response, it doesn’t just pull data—it updates the Knowledge Base with new insights so that future responses are even more accurate.

In n8n.io, AI is always external. Every step that needs intelligence must call an outside AI model, wait for a response, and store data separately. This slows down workflows and requires manual upkeep.

With Cassidy, workflows become smarter with time, while n8n workflows stay static. If you want true AI-powered automation, Cassidy delivers intelligence at every step.

AI Assistants: More Than Just Workflows

Not every task needs a workflow. Sometimes, a real-time AI assistant is better; and Cassidy is the only platform that offers both.

Cassidy’s AI Assistants can be deployed in Slack, Teams, Chrome, embedded in apps, or accessed via API. These assistants help teams instantly by answering questions, generating responses, pulling data from your Knowledge Base in real time, and so much more.

Examples:

  • Slack and Teams Assistant: Instantly answers sales, support, or HR questions using company knowledge.
  • Chrome AI Assistant: Reads webpages, drafts emails, and summarizes content while you work.

n8n.io doesn’t offer assistants at all. If you wanted something similar, you’d need to manually build a chatbot, integrate AI, and set up custom API calls which requires a major technical lift.

With Cassidy, you get workflows + real-time assistants, so you can choose the best tool for the job.

Critical user-level permissions for Enterprises

When enterprise leaders consider automation tools, security and granular permissions often top the list of requirements. Cassidy places heavy emphasis on this, offering advanced user-level permissions, plus the concept of “Collections” in its knowledge base. Collections let you compartmentalize data so that certain teams only have access to the relevant documentation. Even Cassidy’s AI assistants can be restricted to certain Collections, preventing them from ever pulling data they’re not authorized to see.

n8n.io, in contrast, has limited built-in security. While self-hosting is an option, managing user access, permissions, and data controls is left to the business, requiring extra setup and maintenance.

For companies that need tight security and AI-driven automation, Cassidy is the enterprise-ready solution.

Replacing vs. Connecting Tools

With Cassidy, teams often find themselves replacing or consolidating software solutions. Because the platform can draft proposals, reply to support tickets, and even manage entire AI-driven processes, it reduces the need for multiple point solutions. For example, a Cassidy workflow might handle an RFP from end to end: extracting questions from a spreadsheet, generating responses based on past proposals, and compiling everything into a final document for review. The same platform can then integrate with your CRM to enrich new leads, or automate sentiment-based ticket triaging for your support team.

n8n, while powerful at linking different apps into multi-step workflows, doesn’t intrinsically generate content or function as a knowledge repository. Instead, it’s best at connecting tools you already use—perhaps orchestrating that data across Slack, CRMs, or email. If your primary goal is to unify third-party services in custom sequences, n8n is a viable option. But if you’re looking to outsource entire tasks to AI, like drafting detailed documents or summing up complex data sets, Cassidy offers a more direct path.

Why Cassidy for AI Automation?

Enterprises need more than just triggers and actions; they need intelligent processes that tap into business knowledge, interpret context, and communicate seamlessly across departments. Cassidy is designed for exactly that. Its user-friendly, no-code environment ensures that even non-technical teams can harness AI power, backed by secure, granular permissions to protect sensitive information. Most importantly, Cassidy doesn’t just handle tasks; it excels at producing context-driven content and responses, often replacing entire tools your team currently relies on.

For businesses that primarily need custom data pipelines or already have a robust AI strategy in place, n8n.io is a capable workflow builder. However, if your organization wants to run full-fledged AI automations—and do so quickly, without the hassle of stitching together multiple AI services—Cassidy is the stronger, more future-proof choice.

Ready to experience Cassidy firsthand? Book a demo today to see how an AI-first automation platform can unify knowledge, streamline processes, and transform the way your teams work.

The Two Paths to Integrating AI in your Business
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The Two Paths to Integrating AI in your Business

AI models

There are two primary categories for integrating AI into your business:

  1. Boosting Internal Productivity - In other words, figuring out how to make your employees and workflows more efficient, so you can deliver better results faster.
  2. Enhancing the Customer Experience - Exploring what you can offer on top of your existing products and services to make your customers even happier.

Focusing on internal productivity will help cut costs, while improving the customer experience will help you earn more.

Internal Productivity

In my view, it’s easier to start with internal productivity. Greater AI adoption within your team or even by yourself will lead to a substantial increase in overall productivity. The right AI strategy will turn everyone in your organization into a top performer.

Of course, figuring out the best AI strategy can be tricky. But, I think it’s important to not overthink it. Just starting to use AI tools and sharing them with your team can pave the way for in-depth AI integration across your organization. It’s crucial for everyone to have that “Aha” moment with AI.

At CassidyAI, we’re all about this mission. While we’re still slowly rolling out early access, we’ve been documenting our process publicly because we believe everyone can benefit from the thinking we’re putting into how to build features that truly speed up internal workflows.

We showcased our plugin feature that allows you to bring an AI assistant, custom-trained for your business, virtually anywhere on the internet. It’s been a game-changer for sales, customer success, and marketing teams.

(Check out the demo here. You can also signup for the Cassidy waitlist here)

The point is this: When integrating AI into your business, consider the workflows and tasks that currently exist and explore how AI could be introduced to enhance them. Never assume AI can't help--even small steps towards incorporating AI eventually become meaningful time savings.

Customer Experience

On the other hand, you can drive significant customer retention and growth by thoughtfully using AI in your products and services. This approach requires creativity, as it is not as simple as purchasing an off-the-shelf solution for internal workflow optimization.

AI-enabled features in your products and services could include personalized recommendations, an AI chatbot, or simple AI features that make it easier for people to use your product. The catch is that these features must be unique to your business.

For instance, Shopify customers struggled to optimize their stores properly, so their AI sidekick was developed to do it automatically. Another example: I recently spoke with a personal trainer who introduced an AI chatbot for fitness-related questions because clients struggled with guidance on days they weren’t seeing the trainer.

When considering AI implementation, think about the biggest pain points for your current customers. Why do people churn? Is something stopping them from using your product or service more often? What are their unmet needs?

It’s within these questions, you’ll find opportunities to enhance the customer experience using AI.

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Intelligent assistants personalized to your team.

Workflows

Automate tasks with custom, data-driven workflows.

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Cassidy at your fingertips with browser extensions.

No model training

Unlike ChatGPT, Cassidy never trains with your data.

Knowledge Base

Centralized intelligence for smarter automation.