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Contextual Automation: The Next Chapter of AI

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Picture an AI system that doesn’t just answer questions or move data around, but truly understands what it’s doing. 

It knows your brand policies, notices patterns in text, pulls the right documents when needed, and takes meaningful actions — all without you writing a single line of code.

That’s contextual automation, and it’s at the heart of what Cassidy is building.

Let’s explore what contextual automation is, why it’s different from old-school automation, and how Cassidy brings it to life in a way that feels both futuristic and easy to grasp.

What is Contextual Automation?

Traditional automation often relies on simple triggers: “When X happens, do Y.” This works well when you’re dealing with neat, structured data — like updating spreadsheets or sending emails. But modern businesses deal with messy, unstructured information, such as emails, chat logs, PDFs,  and policy documents. 

These sources don’t follow a tidy format, and they can hide key details in plain text.

Contextual automation takes things further by letting AI read and interpret that unstructured data. Instead of just passing it along, the system understands why it matters. It can cross-reference facts from documents, product specs, or internal policies, then take the right action without requiring you to manually dig through it all.

Advantages of Contextual Automation 

Contextual automation improves two things: the speed at which you access information and your ability to act proactively. With accurate, up-to-date insights available in seconds, your team can make better decisions and achieve outcomes faster.

Context-Driven Actions
Cassidy goes beyond simply sharing data. It understands the context and takes the right actions, whether that means drafting a response, sending timely updates, or verifying that you’re being compliant. 

Empowering Your Team
Our workflows are essentially going to act as virtual agents, offering valuable insights and context for your employees. Whether you need background information on a video call participant, detailed company reports, or alerts on competitor activity, there are different ways to help your team get their job done faster and more efficiently. 

Built for Everyone
You don’t need technical expertise or prior knowledge of AI to set up powerful workflows with Cassidy. Every department can benefit from contextual automation. If you’d like to see some examples, explore the dozens of templates on our use-case page and see how easy it is to get started.

Why Standard Automation Falls Short

Old-school tools shine with structured tasks. If you want to copy data from one cell to another, they work great. But they tend to break down when handling open-ended or ever-changing content. 

Most of them weren’t built for large volumes of text, making them blind to the deeper context hidden in emails or documents.

They also struggle to chain multiple AI steps together. Many platforms offer a simple “AI step” to summarize text, but they don’t let you blend knowledge from different sources or apply complex logic. 

That’s where contextual automation stands out: it goes beyond a single prompt, bringing real understanding and multi-step reasoning into the mix.

How Cassidy Makes it Happen

Cassidy’s platform is built to handle these complexities from the start. We combine AI models, knowledge indexing, and no-code workflow design to deliver a seamless experience.

Unified Data Model

All of your information — from PDFs to support centers to spreadsheets — can be indexed in Cassidy’s knowledge base. If the AI needs to confirm any kind of policy, it can jump right to the correct section of your policy document. If it’s summarizing a support ticket, it can also review past chats for context.

Multi-Step AI Workflows

Rather than relying on a single rule, Cassidy chains multiple AI actions into a seamless workflow. Let’s say you want a full picture of a new lead and an updated lead score in your CRM as soon as their email lands in your inbox. 

Cassidy starts by gathering the basics, like name and email, then enriches the profile with insights from LinkedIn and the company’s online presence. Next, it calculates a lead score with a brief explanation and updates your CRM, all in one smooth, connected flow. Every step builds on the last, ensuring your team receives a complete, context-rich lead profile that’s ready for action.

No-Code Building Blocks

We offer drag-and-drop “building blocks” for tasks like sentiment analysis, text comparison, or drafting replies. You snap these pieces together to form custom workflows that match your needs. This makes it easy for non-technical users to build advanced automations without learning to code.

Flexible and Future-Ready

As AI evolves, Cassidy evolves too. If a new large language model comes out, you can plug it into your existing workflows. That means your automations can keep improving without needing a total rebuild.

Real Possibilities with Contextual Automation

Contextual automation isn’t just for one team or department. It can reshape how entire organizations handle their day-to-day operations. Here are a few examples:

Sentiment and Policy Checks
Have the AI scan user comments or support tickets, then compare them to your policies. If certain keywords suggest an urgent issue, it can draft a response or alert the right person — all in real time.

Smarter Knowledge Base Searches
Save your employees countless hours by making all your information easy to access. Instead of having to manually search through vast knowledge resources, Cassidy scans your data to quickly pull together the best answers and present them in clear, plain language.

Live Document Review
Whether it’s a contract or a compliance form, Cassidy reviews your documents by cross-referencing them with your guidelines or any instructions you may have. It quickly identifies potential issues or discrepancies, reducing human error and speeding up the review process.

Task Routing with Context
When a new ticket arrives, the system examines its content, references relevant documents, then sends it to the right department with a suggested plan of action.

Where Contextual Automation Is Headed

AI is moving fast, and contextual automation opens the door to even bigger possibilities. Large language models are gaining the ability to handle longer and more detailed text. They’re also getting better at reasoning, remembering past conversations, and adapting as new data comes in.

Adaptive Learning
Workflows will watch how users respond and automatically improve their logic over time.

Multi-Model Strategies
Different AI models might be used for different steps — one for drafting content, another for fact-checking. Cassidy is built to let you combine models as you see fit.

Custom AI Agents
Imagine having an AI “co-worker” who speaks your brand’s language, knows your product lines, and aligns with your unique processes. Giving you all of the accurate and most up-to-date information possible. 

Enhanced Oversight
As AI grows more powerful, tools for auditing and tracking decisions will also advance, keeping everything accountable and transparent.

Embracing Contextual Automation with Cassidy

The idea of software that truly understands your operations has been a dream for years. Now, with contextual automation, it’s reality. Instead of juggling countless tools that handle only fragments of your workflow, you can unify everything under one AI-driven system that references all the context it needs.

Cassidy is leading the charge by creating a no-code platform that ties AI reasoning together with real-world tasks. If you’ve ever wondered how to automate those “complicated” processes that involve lots of back-and-forth or too many documents to count, we’re here to help you make it simple.

Join us in shaping the future of AI

Check out we bring contextual automation to life. Whether you’re a small team looking to scale everyday tasks or a large enterprise aiming to handle massive volumes of information, our approach adapts to your needs.

Welcome to the next chapter of AI — where automation does more than just shuffle data. It thinks, it interprets, and it delivers truly contextual results. That’s the promise of contextual automation, and we can’t wait to see how you’ll use it. Sign up for a free demo today.

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Cassidy vs. Glean
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Cassidy vs. Glean

About us

AI Automation vs. Enterprise Search

Cassidy and Glean serve different purposes in the enterprise AI space. Cassidy is an AI automation platform that executes multi-step workflows, while Glean is primarily an enterprise search tool designed to help teams find and retrieve information.

The biggest difference? Cassidy doesn’t just find information—it takes action. Whether automating RFP responses, triaging support tickets, or generating approvals, Cassidy applies AI to automate real work, while Glean focuses on retrieving knowledge across enterprise systems.

Here’s a quick feature comparison:

Feature Cassidy (AI Workflow Automation) Glean (Enterprise Search)
Core Focus ✅ AI-driven workflow automation ❌ Enterprise search & retrieval
Built-in AI ✅ AI powers every step ⚠️ AI helps find info, but doesn’t act
Knowledge Base ✅ Uses AI to automate tasks with context ✅ Centralized knowledge retrieval
AI Assistants ✅ Real-time assistants in Slack, Teams, Chrome ❌ No interactive AI assistants
Speed of Deployment ✅ Fast, no-code setup for targeted use cases ❌ Requires full org-wide data ingestion
Workflows vs. Agents ✅ No-code workflow automation ⚠️ AI “agents” generate workflows dynamically
Security & Access ✅ Enterprise-ready (SOC 2, permissions, SSO) ✅ Strong security & granular permissions
Ideal Use Case ✅ Automating multi-step business processes ✅ Finding company-wide knowledge

Cassidy: AI That Works For You

Cassidy isn’t just about surfacing information—it’s about automating work. It can:

  • Draft & process RFPs in seconds, pulling from company knowledge.
  • Triage and route support tickets automatically, reducing workload.
  • Enrich and update CRM records, helping sales teams move faster.
  • Generate personalized emails, reports, and summaries with real business context.

With no-code workflow automation, teams can deploy Cassidy quickly for immediate value—no IT-heavy setup required.

Glean: Search, Not Automation

Glean specializes in enterprise knowledge retrieval, making it easy for employees to find information across wikis, emails, and files. It’s designed to:

  • Reduce internal support tickets by giving employees self-service answers.
  • Help new hires get up to speed by centralizing company knowledge.
  • Improve decision-making by surfacing relevant reports and past work.

Glean’s AI-powered search is fast and accurate, but it doesn’t automate tasks or workflows—users still have to take action manually.

Speed of Deployment: Quick Wins vs. Heavy Rollout

  • Cassidy: Deploy in days, not weeks, by targeting a single high-impact use case (e.g., automating customer support responses or drafting proposals). AI assistants and workflows can be embedded directly into Slack, Teams, and email without deep integrations.
  • Glean: Requires indexing the entire organization’s data before it’s useful. Companies must integrate Glean with all tools and set up permissions before employees can start using it.

Cassidy delivers value immediately, while Glean is a long-term IT investment.

Automation Workflows vs. AI Agents

  • Cassidy: Users build clear, step-by-step workflows—for example, analyzing an incoming request, updating a system, and drafting a response—all automatically. It’s predictable, structured automation that businesses can rely on.
  • Glean: Introduces AI “Agents”, which attempt to dynamically generate workflows on the fly based on broad user goals. While promising, this approach lacks fine control and predictability, making it less suited for critical business processes.

Enterprise Readiness & Security

Both platforms meet enterprise security standards, including SOC 2 compliance and strong access controls.

  • Cassidy provides role-based access and data privacy controls, ensuring AI assistants only access relevant information.
  • Glean enforces strict user permissions, making sure employees only see data they are authorized to access.

While both platforms prioritize security, Cassidy is faster to implement without requiring full company-wide data integration.

Who Should Use Cassidy vs. Glean?

Use Cassidy if you need:

✔️ AI-powered workflow automation that acts, not just retrieves data
✔️ Fast, no-code deployment for targeted automation use cases
✔️ Real-time AI Assistants in Slack, Teams, and Chrome
✔️ Automations that replace manual tasks like RFPs, support triaging, and CRM updates

Use Glean if you need:

✔️ Enterprise-wide search to help employees find existing knowledge
✔️ A centralized knowledge hub that connects to all your company’s data sources
✔️ AI that retrieves information but doesn’t take action

Final Thoughts: Why Cassidy Wins

Glean is a powerful knowledge retrieval tool, but Cassidy goes further—using AI to actually get work done. If your goal is to automate business processes, reduce manual effort, and deploy AI-powered workflows quickly, Cassidy is the clear choice.

Ready to see Cassidy in action? Book a demo today.

Cassidy vs n8n
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Cassidy vs n8n

About us

AI Automation Platform Comparison

Today, stitching together integrations isn’t enough. Teams need automation that actually have 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 other tool 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 make AI useful.

Cassidy, by contrast, has AI built into every workflow. Its Knowledge Base gives AI instant access to your company’s data, so 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—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 responds

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—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—answering questions, generating responses, and pulling data from your Knowledge Base in real time.

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—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 permissioning 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 permissioning 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.

Cassidy vs. ChatGPT Enterprise: Contextual AI Automation vs. Standalone Chatbot
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Cassidy vs. ChatGPT Enterprise: Contextual AI Automation vs. Standalone Chatbot

AI models

Overview

While both Cassidy and ChatGPT Enterprise utilize AI to enhance productivity, they serve distinctly different purposes. Cassidy is a robust, contextual AI automation platform designed to create custom workflows, integrate deeply into your existing tools, and leverage multiple AI models. ChatGPT Enterprise functions primarily as a standalone conversational chatbot built exclusively around OpenAI’s models, lacking deep workflow automation or extensive integrations.

Cassidy provides enterprises with adaptable AI solutions that scale across business units, ensuring contextually intelligent automation tailored specifically to your workflows.

Feature Comparison

Feature Cassidy ChatGPT Enterprise
Automation ✅ Flexible AI workflows ❌ Chat-only interaction
AI Models ✅ Multiple AI models (GPT-4, Claude, Gemini) ❌ Single model (GPT-4)
AI Assistants ✅ Integrated in Slack, Teams, Chrome ❌ No external integrations
Knowledge Base ✅ Unified enterprise-wide knowledge ❌ No central knowledge base
Support & Onboarding ✅ Dedicated enterprise support ❌ Generalized, limited support

Flexible AI Models vs. Single Provider Limitation

Cassidy allows your business to leverage multiple leading AI models, ensuring that you always have access to the best tool for the job. ChatGPT Enterprise restricts users to OpenAI’s proprietary models only, significantly limiting your flexibility and potentially future innovation.

Workflow Automation, Not Just Conversations

Cassidy empowers enterprises with comprehensive workflow automation, seamlessly linking multiple business tools and processes to perform tasks end-to-end without human intervention. ChatGPT Enterprise lacks automation capabilities, serving only as a conversational assistant without any capability for task automation or execution across multiple apps.

Integrated AI Assistants vs. Isolated Chat Experience

Cassidy's custom AI assistants integrate seamlessly into everyday business platforms like Slack, Microsoft Teams, and Chrome, delivering contextual support and real-time actions. In contrast, ChatGPT Enterprise offers a closed interface without built-in external integrations, restricting AI interactions to basic conversational exchanges within its own environment.

Centralized Enterprise Knowledge Management vs. Fragmented Storage

Cassidy provides a unified enterprise-wide knowledge base that continuously updates and enriches the context available to your entire organization, ensuring accuracy and relevance. ChatGPT Enterprise’s knowledge storage is ephemeral, restricted to individual sessions, and lacks permanent enterprise-wide knowledge management.

Dedicated Enterprise Support vs. Generic Onboarding

Cassidy offers personalized, white-glove onboarding, dedicated account management, and comprehensive training, ensuring your enterprise successfully adopts and scales AI across teams and processes. ChatGPT Enterprise provides general self-service onboarding with limited personalized support, potentially hindering widespread adoption.

Cassidy: The Smarter Enterprise AI Solution

ChatGPT Enterprise is suitable for standalone, conversational interactions, but Cassidy offers a far more powerful, scalable, and contextual AI solution designed specifically for enterprises. With its extensive integrations, multi-model flexibility, robust workflow automation, and enterprise-grade knowledge management, Cassidy empowers your business to fully harness the potential of AI across your entire organization.

Discover how Cassidy can elevate your enterprise workflows by booking a demo today.

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Chrome extension

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Unlike ChatGPT, Cassidy never trains with your data.

Knowledge Base

Centralized intelligence for smarter automation.