All blog posts

Cassidy vs. Loopio

Index

AI Automation Platform vs. RFP Response Software

When evaluating automation platforms, Cassidy and Loopio often surface as contenders for streamlining RFPs and proposal management. However, these platforms differ significantly in their scope and flexibility. Loopio is a narrowly focused RFP response tool, providing structured, predefined workflows specifically built around proposal generation. In contrast, Cassidy is a powerful, contextual AI automation platform designed to dynamically adapt to your unique enterprise processes, far beyond just RFP responses.

Cassidy not only accelerates RFP responses, but automates complex, context-driven workflows across sales, customer support, operations, HR, and beyond. Loopio’s rigid structure may speed up repetitive proposals but lacks adaptability, restricting its usefulness.

Feature Comparison

Feature Cassidy Loopio
Automation Approach ✅ Contextual, AI-driven workflows tailored to unique processes ❌ Rigid, predefined proposal workflows only
AI Flexibility ✅ Adaptive AI that learns and evolves dynamically ❌ Static AI limited to content retrieval and reuse
Customization ✅ Fully customizable automation based on your unique needs ❌ Limited customization; forces users into preset formats
Real-time AI Assistants ✅ Interactive AI assistants embedded in Slack, Teams, Chrome ❌ No interactive AI; basic platform-based content retrieval
Knowledge Integration ✅ Unified knowledge base usable across multiple business functions ❌ Siloed RFP-specific content not accessible enterprise-wide
Enterprise Onboarding ✅ Dedicated onboarding, ongoing training, and personalized support ❌ Limited onboarding focused solely on proposal teams

Contextual AI Automation vs. Static Content Lookup

Cassidy’s AI-powered automation goes far beyond simple content retrieval. Its contextual AI understands and dynamically adapts to your business processes, continuously improving workflows by extracting information, generating context-aware responses, and automating complex tasks end-to-end.

Loopio’s automation is essentially limited to suggesting previously stored answers from its content library. This static approach requires significant manual upkeep and struggles to handle non-standard or complex RFP scenarios, often forcing users back into tedious manual work.

Custom Workflows Tailored to Your Enterprise

No two businesses handle proposals or processes the same way. Cassidy recognizes this and provides highly customizable AI workflows precisely adapted to your company’s specific requirements. You can define your processes, tone, and even AI behavior, creating workflows that perfectly match your operational style.

Loopio, however, restricts teams to predefined structures. Its limited customization options mean that if your proposals vary significantly, your team might frequently revert to manual interventions, reducing the platform's value.

Unified Enterprise Knowledge

Cassidy’s enterprise-wide knowledge base centralizes your critical business content—whether proposal answers, customer interactions, internal policies, or sales materials—in one intelligent repository. This interconnected knowledge powers all of Cassidy’s automation tools, ensuring consistency and continuous improvement.

Loopio’s knowledge management is isolated to RFP-related content, creating data silos and limiting your enterprise’s ability to leverage insights across different departments or workflows.

Interactive AI Assistants Where You Work

Cassidy embeds intelligent, interactive AI assistants directly into Slack, Microsoft Teams, Chrome browsers, and web applications. This enables employees across your enterprise to access real-time, contextual support seamlessly within their daily workflow.

Loopio provides no interactive AI assistance outside its own interface, restricting content lookup and limiting employee engagement and accessibility.

Scalable AI for Enterprise Teams

Cassidy prioritizes scalable enterprise adoption with comprehensive onboarding, dedicated account management, ongoing training, and personalized support. This approach ensures quick implementation, team-wide adoption, and continuous optimization across various business units.

Loopio’s onboarding and scalability are limited strictly to proposal teams, with minimal ongoing support or adaptability to broader organizational needs.

Cassidy: The AI Platform Built for Your Entire Business

Loopio offers efficiency strictly within rigid, predefined proposal workflows. Cassidy, however, delivers expansive, contextual AI automation that adapts to your unique processes, breaks down knowledge silos, and supports dynamic, enterprise-wide workflows. Cassidy represents the smarter long-term investment, equipping your business for success beyond RFPs.

Ready to unlock the full potential of AI-driven automation?

Book a Demo today and experience the Cassidy difference firsthand.

Share online

Page URL

Read more posts

See all articles
Cassidy vs Responsive
Read more

Cassidy vs Responsive

About us

AI Automation Platform vs RFP-Specific Software

Most RFP tools, like Responsive (formerly RFPIO), follow a rigid structure that helps teams fill out questionnaires and manage proposal content. However, no two RFP processes are the same. Cassidy takes a different approach by allowing teams to build custom AI-powered workflows tailored to their exact needs. This flexibility extends beyond RFPs to sales enablement, customer support, and other business functions.

Instead of locking teams into a fixed system, Cassidy adapts to how your team works and ensures AI-powered automations get smarter over time. With Cassidy, RFP automation is just one piece of a larger AI strategy. Your knowledge base fuels multiple workflows, including drafting sales emails, triaging support tickets, and enriching CRM data. Rather than siloing knowledge across different AI tools, Cassidy keeps everything in one system, making it easier to scale automation across the entire organization.

Here is a breakdown of how Cassidy and Responsive compare and why a flexible AI platform is the smarter investment for enterprises.

Feature Cassidy (AI Automation Platform) Responsive (RFP Response Software)
Core Focus ✅ AI-driven workflows across teams (Sales, Support, Ops) ❌ RFP and proposal automation only
Built-in AI ✅ AI powers every step, learns over time ⚠️ AI assists RFPs, but workflows are rigid
Custom Workflows ✅ Fully customizable for each team’s needs ❌ Predefined structure, limited flexibility
AI Assistants ✅ Interactive AI assistants in Slack, Teams, Chrome ❌ No real-time AI assistants, just lookup AI
Ease of Setup ✅ No-code, deploys quickly for immediate impact ⚠️ Requires content library setup, structured onboarding
Knowledge Management ✅ Centralized knowledge base for multiple workflows ❌ Siloed RFP content library, separate from other tools
Scalability ✅ Adapts to new use cases beyond RFPs ❌ Purpose-built for proposals, not broader AI automation
Best For ✅ Enterprises needing flexible AI-powered automation ✅ Organizations with high RFP volumes needing structured responses

AI That Adapts to Your Workflow, Not the Other Way Around

Every company handles RFPs differently, yet many tools take a one-size-fits-all approach. Responsive is designed around structured proposal workflows that help teams quickly fill in responses using an existing content library. This speeds up the process but follows a predefined structure, requiring teams to work within a set system.

Cassidy takes a more flexible approach. Instead of following a fixed template, Cassidy allows teams to customize every part of the process. AI-generated responses, workflow steps, and automation rules can all be tailored to match the unique way each team operates. Whether automating RFPs, summarizing documents, or handling customer support inquiries, Cassidy adapts to your specific needs.

With Cassidy, AI becomes a true automation engine that evolves with your business. Teams can:
✅ Customize AI outputs to ensure responses match their brand and tone
✅ Choose from multiple AI models like GPT-4 and Claude for different types of tasks
✅ Build workflows that combine AI-powered data extraction, analysis, and response generation

Responsive is built for proposal teams, while Cassidy offers a broader AI-powered automation platform that scales across multiple workflows. For enterprises looking to expand AI beyond RFPs, Cassidy provides a more flexible and future-proof solution.

AI Assistants vs. Lookup-Based AI

One of the biggest differences between Cassidy and Responsive is how teams interact with AI.

Cassidy provides fully customizable AI Assistants that can be trained for any specific task. Whether acting as a content copilot that ensures responses are in your exact brand voice or an AI that automatically replies to emails for your sales team, Cassidy’s Assistants adapt to each team’s needs. They can be embedded in Slack, Microsoft Teams, Chrome, CRMs, and more, allowing employees to ask questions, generate content, or complete tasks instantly. Unlike rigid chatbots, these Assistants understand context, pull from company knowledge, and take action in real time.

Responsive’s AI works more like a smart lookup tool. Instead of a free-form assistant that users can chat with, Responsive’s AI is designed to retrieve RFP content when proposal managers need it. When working on an RFP, the AI searches the content library, suggests relevant answers, and can auto-fill responses. This makes it useful for quickly handling repetitive questions, but it doesn’t function as an AI assistant that can handle broader business tasks.

While Responsive’s AI is embedded in the RFP process, it lacks the flexibility of Cassidy’s Assistants, which can be custom-built for different roles and deployed across multiple workflows. Whether teams need a sales AI to draft outreach emails, a support bot to answer customer FAQs, or a compliance assistant to review policies, Cassidy provides the AI-powered copilots that teams can rely on every day.

Enterprise Knowledge: A Smart System for All AI Tools, Not Just RFPs

AI is only as powerful as the knowledge it can access. Cassidy gives enterprises a single, centralized knowledge base that connects documents, wikis, CRM data, and support tickets to power multiple AI-driven workflows. Instead of siloing data across different AI tools, Cassidy lets teams build and deploy AI assistants for sales, support, operations, and more, all pulling from the same up-to-date system.

Responsive’s knowledge is built only for RFPs. Its Content Library stores past responses and approved Q&A pairs, ensuring accuracy for proposals but limiting its usefulness elsewhere. Other teams can’t easily repurpose this data, forcing companies to rely on separate tools for sales emails, customer support, and internal workflows, creating more silos instead of reducing them.

With Cassidy, knowledge isn’t just stored, it is actively used to automate processes across teams. Enterprises can quickly spin up new AI tools without rebuilding from scratch, making AI smarter, more consistent, and easier to manage at scale.

Choose AI That Grows With Your Business

Cassidy is built for enterprises that want AI-powered automation across multiple teams and workflows, not just RFPs. It provides the flexibility to build custom AI assistants and workflows that scale with your organization, ensuring knowledge stays connected and automation gets smarter over time.

Responsive is a strong choice for companies that need a structured tool specifically for RFPs, proposals, and sales questionnaires. However, if your goal is to consolidate AI efforts, avoid data silos, and automate more than just one function, Cassidy offers a more powerful and future-proof solution.

Cassidy vs. Zapier
Read more

Cassidy vs. Zapier

About us

AI-Powered Automation vs. Traditional 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-level judgment, not just rule-based triggers. Zapier, on the other hand, is a traditional automation tool designed to connect apps with simple workflows.

While Zapier is great for basic, repetitive tasks, Cassidy takes automation further by infusing AI into every workflow, integrating deeply with business knowledge, and enabling non-technical users to build advanced automations.

Here’s a quick comparison of Cassidy vs. Zapier:

Feature Cassidy (AI-Driven) Zapier (Rule-Based)
Core Focus AI-powered automation & assistants Traditional “if this, then that” workflows
Built-in AI ✅ AI powers every step ❌ AI must be manually integrated as a step
Knowledge Base ✅ Retains & applies business context ❌ Workflows don’t retain knowledge
AI Assistants ✅ Real-time assistants in Slack, Teams, Chrome ❌ No AI assistants, only background workflows
Ease of Use ✅ No-code, built for non-technical users ⚠️ Simple for basic tasks, but lacks built-in AI
Learning Over Time ✅ Workflows improve with use ❌ Workflows remain static
Automation Logic ✅ Flexible, AI-driven workflows that adapt ❌ Rigid “if this, then that” logic
AI Models ✅ Built-in (GPT-4, Claude, etc., no setup needed) ❌ Must manually connect OpenAI or Zapier AI
Security & Access ✅ Enterprise-grade (SOC 2, permissions, SSO) ❌ Basic security, designed for small teams
Ideal User Businesses & enterprises needing AI automation Great for individuals & small teams

AI Integration: Built-in AI vs. “Add-on AI”

Cassidy is AI-first, meaning every workflow uses intelligence at its core. Whether automating sales outreach, drafting RFP responses, or summarizing customer inquiries, Cassidy’s AI understands context and makes informed decisions—just like a human would.

Zapier, on the other hand, treats AI as an add-on. You can add AI as a step in a Zap (e.g., sending data to OpenAI), but AI isn’t natively built into workflows. It’s an external tool you have to configure and integrate manually.

Cassidy makes AI a seamless part of automation, while Zapier simply calls AI when told to.

Cassidy is No-Code & Built for Non-Technical Users

One of the biggest differences between Cassidy and Zapier is who can use it.

  • Cassidy is designed for non-technical users. Anyone on your team from sales reps to support reps and marketers can build and customize AI-powered workflows without writing code.
  • Zapier is better suited for technically inclined users. While it offers a simple interface, more advanced automations require complex setup, API configurations, and manual logic building.

For example:

  • In Cassidy, a sales rep can automate lead enrichment, and Cassidy will research a prospect, pull insights, and generate a personalized outreach email.
  • In Zapier, you’d have to manually connect multiple apps, trigger API calls, and piece together responses with no contextual understanding.

If you want a platform that empowers every team member to build their own AI-driven automations, without waiting on developers, Cassidy is the clear choice.

Automation Logic: AI-Powered vs. Rigid “If-Then”

Zapier follows a strict “if this, then that” model. Every Zap follows a predefined sequence: if a condition is met, a specific action happens. While this works for repetitive tasks, it doesn’t adapt to complexity.

Cassidy enables flexible, AI-driven workflows. Instead of following a fixed set of rules, Cassidy’s automation:

  • Understands context and makes real-time decisions
  • Learns and improves over time
  • Handles complex, text-based tasks that traditional automation tools can’t

For example, Cassidy can automatically process and respond to RFPs, pulling from historical proposals to generate accurate answers. This simply isn’t possible in Zapier.

AI Assistants: Cassidy Provides Real-Time AI, Zapier Doesn’t

Cassidy doesn’t just run background workflows—it also provides real-time AI Assistants that work inside your favorite tools.

  • Slack & Teams Assistants – Employees can ask Cassidy questions, pull reports, and get AI-driven insights without leaving chat.
  • Chrome Assistant – AI that can analyze webpages, summarize information, or draft content in real time.
  • Embedded AI Assistants – Add Cassidy’s AI into your existing apps via API or UI embeds.

Zapier has no AI assistant functionality. It runs in the background, but users can’t interact with AI in real time. If you need AI that works inside the tools you already use, Cassidy is the only option.

Security & Enterprise Scalability

For businesses with security and compliance needs, Cassidy is built for enterprise use.

  • SOC 2 Type II, SSO, and granular permission controls
  • Knowledge Base permissions so AI can only access authorized data
  • Built to scale across teams, with centralized security settings

Zapier, on the other hand, is designed more for individuals and small teams. It offers team accounts, but lacks Cassidy’s granular security controls, making it less ideal for large enterprises with strict compliance needs.

Who Should Use Cassidy vs. Zapier?

Use Cassidy if you need:

✔️ AI-powered automation that understands context
✔️ No-code, enterprise-ready automation for non-technical teams
✔️ Real-time AI Assistants for Slack, Teams, and Chrome
✔️ Advanced security, scalability, and compliance

Use Zapier if you need:

✔️ Simple, rule-based automation for moving data between apps
✔️ A personal productivity tool for repetitive tasks
✔️ A lightweight solution for basic workflows

Both platforms serve different needs. If you need true AI-powered automation that can handle complex workflows and scale across your organization, Cassidy is the better choice.

Final Thoughts: Why Cassidy Wins

Zapier is a great tool for basic, trigger-based automation, but it wasn’t built for AI-first workflows. If you want automation that thinks, learns, and adapts, Cassidy is the future.

Cassidy doesn’t just move data, it automates the impossible. Ready to see it in action? Book a demo today.

Become the AI Expert in Your Industry
Read more

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.

See all articles

Start building AI tools in minutes

Access to the top models

Cassidy includes the top 5+ leading AI models.

Assistants

Intelligent assistants personalized to your team.

Workflows

Automate tasks with custom, data-driven workflows.

Chrome extension

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.