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Save Thousands of Hours (and Dollars) with Cassidy's New Research Agent

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Research doesn’t have to be an expensive, manual, time-consuming process anymore.

With Cassidy’s Research Agent, you get real-time, continuous access to the web until it finds the precise answers you need, delivering up-to-date, accurate information quickly and effortlessly.

Whether you’re after business insights or competitive data to fuel your growth strategy, this tool ensures you get the exact information you’re looking for — no manual research required. 

Unlike tools like ChatGPT, which handle individual queries, Cassidy’s solution is designed for repeatable, in-depth research. It continuously gathers, processes, and aggregates live web data, making it far more powerful for automating complex tasks that drive business decisions.

If you’ve been spending hours on research or relying on tools that fall short, it’s time to save both time and money with this powerful solution. 

Ready to see how it can transform your workflow? Let’s dive in

Simplifying research with limitless reach

Research Agent scours the internet to retrieve real-time data tailored to your needs. Whether you’re conducting in-depth analysis or verifying key information, it eliminates manual effort and helps you make faster, more informed decisions.

At its core, Research Agent combines custom queries, autonomous web scraping, data analysis, and customizable output options. Here’s how it works:

  • Custom Instructions: You define exactly what data you're looking for—whether it’s competitive insights, verifying a company’s online presence, or gathering the latest news. This gives you complete control over the research process.
  • Autonomous Web Scraping: The tool automatically scans public online sources like websites and databases, saving you hours of manual searches. It can’t log into private accounts but uses public-facing data to gather insights. For example, you could input a company domain, and Research Agent would analyze accessible websites and compile a list of competitors for you.
  • Data Processing and Confidence: After collecting the data, it’s analyzed and presented with confidence scores, detailed reasoning, and a step-by-step breakdown of how the results were gathered. You’ll be able to trust the data and understand exactly how it was sourced.
  • Customizable Output: The results are delivered in a format that fits seamlessly into your workflow, allowing you to quickly act on the insights you’ve gathered. Whether you're generating reports, conducting competitive analysis, or validating information, the output is flexible and designed to meet your specific needs.

As Research Agent continues to evolve, new templates and features will be added, enhancing its research capabilities and allowing you to tackle even more complex tasks.

For more details, check out this overview video: 

Our pre-existing templates can already help you work magic 🪄

We've created a range of pre-built templates available to simplify common research tasks, helping you get started right away.

These templates handle tasks such as:

  • Gathering Company and Competitor Information
  • Analyzing Company ICP and Positioning
  • Finding Company's Social Media Profiles
  • Identifying Person Names from Work Email Addresses
  • Locating Company Executives and Founders
  • Searching for Company Competitors
  • Verifying Domain Status
  • Finding Company Customers
  • Getting Company 10-K Reports

These templates allow you to quickly gather relevant data without having to build workflows from scratch. Whether you’re searching for key contacts or analyzing competitors, the templates are designed to make your job easier.

But the real advantage comes from customization. While pre-built templates offer convenience, you can design your own workflows tailored to your specific needs. Whether you're automating a series of unique tasks or gathering insights for a highly specialized project, you can create workflows that match your exact requirements.

By designing custom templates, you not only save time but also open the door to automating complex tasks. This flexibility allows you to streamline operations, make more informed decisions, and focus on using the data to fuel business growth.

Applying Research Agent's insights for your business

The data gathered by Research Agent can be used across different areas of your business to make smarter, more strategic decisions.

  • For Sales: Detailed insights on potential customers, including their company background and key contacts, allow you to tailor your outreach for maximum impact.
  • For Competitive Analysis: Having access to competitor data in real-time enables you to quickly identify market trends, analyze your competitors’ strategies, and adjust your own.
  • For Lead Generation: By automating research, you can quickly build lists of high-quality contacts and leads, giving your team more time to focus on outreach.
  • For Market Research: Gain access to industry trends and customer preferences to make strategic business decisions faster, putting you ahead of the competition.

Here's an example of how you can conduct industry research: 

As many departments in your organization are likely spending significant time or money on research tools, we aim to simplify that—while offering you the most accurate, current insights available from across the web.

Plus, exporting this data is easy.

With integrations like OneDrive and Word, exporting your data is seamless, allowing you to put research into immediate use. Some integrations work across both Knowledge Base and workflows, such as Slack, making it easy to store data and send notifications where they’re most useful. No matter where your data is headed, outputs are formatted to fit your exact needs.

Experience Cassidy for yourself

Ready to simplify your workflows and make data-driven decisions with ease? Cassidy offers the tools to automate your research and streamline operations across your business. 

Sign up for a free trial 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.

Become the AI Expert in Your Industry
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Become the AI Expert in Your Industry

Industry news

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.

Cassidy vs Microsoft Copilot: AI Automation vs Microsoft 365 Assistant
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Cassidy vs Microsoft Copilot: AI Automation vs Microsoft 365 Assistant

Industry news

Cassidy and Microsoft 365 Copilot both bring AI assistance to the workplace, but they differ significantly in scope and approach. Cassidy is an AI-native automation platform designed to integrate AI into diverse workflows across an entire business, while Microsoft 365 Copilot functions as an assistant within Microsoft’s suite of apps (Word, Excel, Outlook, Teams).

While Copilot is useful for enhancing productivity within Microsoft tools, Cassidy goes further by enabling cross-platform workflows, providing AI model flexibility, and offering enterprise-level support. Below is a comparison of how Cassidy and Microsoft Copilot stack up across key areas:

Feature Cassidy Microsoft Copilot
AI Flexibility ✅ Supports multiple AI models (GPT-4, Claude, Gemini) ❌ Locked to Microsoft’s OpenAI model
Workflows & Automation ✅ No-code AI-driven workflows spanning multiple tools ❌ In-app assistance only, no cross-platform automation
Integration Scope ✅ Connects with 100+ tools, including Slack, CRMs, and ticketing systems ❌ Primarily for Microsoft 365 apps, limited third-party integrations
Enterprise Scalability ✅ Organization-wide AI deployment and admin control ❌ Designed for individual users within Microsoft apps
Onboarding & Implementation ✅ Dedicated support, training, and white-glove onboarding ❌ Self-service setup, minimal implementation support

AI Flexibility: Multiple Models vs. Single Model

Cassidy offers extensive AI flexibility. It supports multiple AI models, including OpenAI’s GPT-4, Google’s Gemini, and Anthropic’s Claude. This allows organizations to choose the best AI for different tasks and future-proof their automation as better models emerge.

Microsoft Copilot, on the other hand, is locked into Microsoft’s chosen OpenAI model. Users have no control over the AI provider and must rely solely on the models Microsoft decides to deploy. This lack of flexibility can limit performance in specific use cases where another model might be a better fit.

Workflows & Automation: Multi-Step vs. In-App Only

Cassidy enables true end-to-end AI-powered workflows across multiple tools and steps. Its no-code workflow builder lets users create AI-driven automations that take action across apps, process data, and even trigger real-time alerts. For example, Cassidy can read an incoming email, analyze its content, update a CRM, and notify the right person in Slack—all in one seamless process.

Microsoft Copilot, however, is limited to acting within individual Microsoft 365 apps. It assists with tasks like writing emails in Outlook or summarizing documents in Word but does not offer full automation across tools. Microsoft’s Copilot Studio allows for some custom Copilot assistants, but these are largely confined to Microsoft’s ecosystem and require developer setup.

Integration Scope: Diverse Tools vs. Microsoft-Only

Cassidy connects with over 100+ third-party applications, including CRMs, ticketing systems, knowledge bases, and communication platforms like Slack and Teams. It integrates deeply with both Microsoft and non-Microsoft tools, ensuring seamless automation across an organization’s full tech stack.

Microsoft Copilot, by contrast, is designed primarily for Microsoft 365 users. It works well within the Microsoft suite but has limited or no native integration with third-party tools like Slack, Google Drive, or external CRMs. This lack of connectivity makes it difficult to implement AI-driven workflows outside of Microsoft’s ecosystem.

Enterprise Scalability: Organization-Wide vs. Individual Use

Cassidy is built for enterprise-wide deployment, allowing teams to create AI assistants and workflows that span across departments. Its centralized Knowledge Base ensures that AI-powered automations pull from company-wide data, maintaining accuracy and consistency. Admins can manage access, enforce security policies, and customize AI responses for different teams.

Microsoft Copilot is primarily a personal assistant within Microsoft apps, meaning it functions on a per-user basis rather than being centrally managed for an organization. Any attempt to extend its capabilities across teams would require significant developer effort and remain constrained within the Microsoft environment.

Onboarding & Implementation: Hands-On vs. Self-Service

Successfully implementing AI tools in an enterprise requires more than just software—it requires expert guidance, training, and ongoing support to ensure adoption and success. Cassidy provides a white-glove onboarding experience, working directly with each organization to build, customize, and integrate AI solutions effectively.

When you adopt Cassidy, you get:

  • A Dedicated Account Manager – Your team is assigned a Cassidy AI expert who helps design AI assistants and workflows tailored to your business needs. This ensures your AI solutions align with your processes and deliver real impact from day one.
  • Team Training Sessions – Cassidy provides hands-on training to help teams in sales, marketing, support, and operations seamlessly integrate AI into their workflows. This ensures that AI adoption happens smoothly across departments, not just in isolated pockets.
  • Weekly Office Hours – Cassidy hosts live Q&A sessions where customers can get expert advice, troubleshoot challenges, and explore new use cases for AI within their business.
  • Private Slack Support – A direct line of communication with Cassidy’s team, allowing customers to ask questions, request features, and receive real-time assistance whenever they need it.

This high-touch support model ensures that organizations don’t just buy AI tools—they successfully implement them and maximize their value.

By contrast, Microsoft Copilot follows a self-service onboarding approach. While Microsoft provides documentation, FAQs, and standard admin guides, there is no dedicated onboarding or personalized implementation support. If an organization needs additional guidance, they may have to work with third-party Microsoft partners at an extra cost. This means that adoption relies heavily on internal IT teams to configure Copilot and train users, which can slow down AI implementation—especially for enterprises looking to scale AI across departments.

Final Thoughts: Why Cassidy Stands Out

Microsoft 365 Copilot is a useful personal productivity tool within the Microsoft suite, helping with writing, summarizing, and task management inside apps like Word and Outlook. However, it lacks true AI-powered workflow automation and is restricted to Microsoft’s ecosystem.

Cassidy, on the other hand, enables end-to-end AI automation across your entire tech stack. It integrates with multiple tools, supports multiple AI models, and allows enterprises to build custom workflows that adapt to their specific needs. With hands-on onboarding, admin controls, and broad AI flexibility, Cassidy is the better choice for businesses looking to deploy AI across departments and tools.

Ready to see how Cassidy can automate your workflows? Book a demo today.

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