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Cassidy vs Responsive: AI Automation Platform vs RFP-Specific Software

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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.

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What are Cassidy credits?
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What are Cassidy credits?

About us

Cassidy credits are the fuel that powers everything on our platform — from assistants to workflows.

Each month, based on your subscription plan, you receive a set number of credits. These credits are deducted as you complete tasks — simpler ones use fewer credits, while more complex workflows require more.

This streamlined approach allows you to manage your usage effortlessly, giving you access to all our AI models without needing multiple API keys or separate subscriptions. There are over 8 models built-in to choose from, including OpenAI, Anthropic, and Google’s latest models.

In this article, we’ll break down Cassidy credits in more detail, but if you're looking for a high-level overview of Cassidy's credits and pricing, head over to our pricing page.

What are Cassidy credits and how do they work

Cassidy credits are the backbone of how you access and utilize the AI-powered features on our platform. Instead of juggling multiple API subscriptions or worrying about separate charges for each tool, Cassidy credits simplify your experience by acting as a "universal currency." so to speak.

Each feature, from running workflows to chatting with assistants, pulls from your monthly pool of credits, making it easy to track and manage your usage.

When you sign up for Cassidy, your plan comes with a set number of credits each month. These credits are deducted as you run tasks on the platform. The more complex the task—like detailed workflows or analyzing large datasets—the more credits it consumes. Simpler tasks, like basic queries or short assistant interactions, use fewer credits.

Here’s how it works:

  • Choose between 8+ models: Depending on the automation, your team might prefer different models for different use cases. For instance, GPT-4o is better at data analysis, while Claude 3.5 Sonnet is better at content writing. As newer and better models get released, we’ll add them directly into Cassidy.
  • Task-Based Consumption: Every task you run deducts credits from your monthly allocation, whether it’s small day-to-day tasks or large workflows.
  • No API Key Hassle: Usually, accessing AI models across different platforms requires multiple API subscriptions. Cassidy credits simplify that—you pay for one subscription, and your credits cover all features in one place.
  • Real-Time Monitoring: Track how many credits you’ve used and how many are left. For teams, credits are shared across your organization.
  • Scalable Usage: Whether your needs grow or shrink, Cassidy credits adapt to your usage, ensuring you only use what’s necessary.

It should also be noted that Cassidy credits do not roll over every month.

What happens if I accidentally go over my Cassidy credits?

We understand that credit usage can vary. If you find yourself running low or going over on credits, reach out to our team. We’ll work with you to find a solution, whether it's a one-time boost or a plan adjustment to better suit your needs — the key thing to note is that we want to work with you.

Couple of quick FAQs about Cassidy credits

Is there a cost per credit?
Rather than charging per individual credit, our pricing model factors in seats, features, support, and other benefits. This helps us provide more value through flexible plans that adapt to your needs.

Are there any free actions within Cassidy?
Yes, many actions within Cassidy are free and don’t consume credits. These include tasks that don’t require AI, like scraping a webpage or searching the internet. However, integrations with platforms like HubSpot or Salesforce require a subscription tier but won’t consume additional credits once enabled.

How can I quickly check my remaining Cassidy credits?
You can easily monitor your Cassidy credits by navigating to the 'Credits & Storage' tab in the Organization Settings. This will give you an up-to-date view of your remaining credits and storage usage, helping you plan accordingly.

Customized plan tailored for your needs

At the moment, our Starter Plan offers 10k credits per month, with access to all of Cassidy’s core features, including unlimited assistants, workflows, and integrations with tools like Slack, Notion, and Sharepoint. This plan is perfect for individuals and teams starting out with AI-powered workflows.

However, for businesses with more specific needs — whether it's handling larger data volumes, scaling across departments, or needing advanced customization — our Custom Plan may be the right fit.

With a Custom Plan, you’ll enjoy:

  • Custom credits per month: Tailored to match the complexity of your workflows and team size.
  • Unlimited assistants and workflows: Automate without restrictions, so your team can scale tasks effortlessly.
  • Advanced integrations: Connect Cassidy to internal systems or specialized tools, going beyond standard integrations.
  • White-glove setup and onboarding: Get personalized support for a smooth implementation process and hands-on assistance.
  • Single Sign-On (SSO) capability: Secure and simplify user access with SSO integration.
  • Dedicated AI expert: Work with a dedicated expert to help optimize workflows and maximize efficiency.
  • Custom AI training: Receive tailored training to ensure your team makes the most of Cassidy’s features.
  • Custom integrations and live syncing: Keep workflows in sync with your essential tools and systems.
  • AI ROI reports: Track the benefits and ROI of your AI workflows to see tangible results.

A Custom Plan is ideal for organizations with more complex needs, offering flexibility and dedicated support as you grow. If this sounds like a good fit for your team, feel free to reach out to explore the best plan for your goals and maximize the value Cassidy can bring.

How we help save money compared to traditional API subscriptions

With Cassidy, you’re not just getting access to powerful AI tools—you’re also saving money by avoiding the need for separate API subscriptions and costly maintenance. Instead of managing multiple providers, Cassidy brings everything together, bundling a wide range of features into one platform for greater value.

We take care of the technical complexities—managing services, maintaining integrations, and handling updates—so you can focus on growing your business without worrying about hidden development or maintenance costs. By offering essential AI features and providers in one place, Cassidy helps you streamline your workflow and ensures you get the best performance without the hassle of multiple subscriptions or additional fees.

How many credits are used for typical workflows

If you are using the free trial or starter plan, you will have a limited amount of credits. Understanding how many credits different tasks consume can help you make the most of your Cassidy credits. Here’s a quick breakdown of what to expect for common activities:

  • Chats with Assistants: These usually consume between 1 and 30 credits, depending on the complexity of the conversation and the level of detail required.
  • Workflows: The credit usage for workflows can vary widely, from 1 to 100 credits, based on the scope and depth of the task. Simple workflows will cost less, while complex workflows involving multiple steps and large datasets will consume more credits.

These estimates provide a general idea, but the actual credit consumption will vary based on the specifics of your tasks.

What factors influence the amount of credits used?

Several factors determine how many credits a task will consume. Here are some key considerations:

  • AI Model: More advanced models require more credits. For basic tasks, simpler models can conserve credits, whereas complex analysis or generation tasks may need a more robust model.
  • Token Size: Tasks that involve large inputs or outputs (like longer documents or extended conversations) will require more tokens, which in turn increases the credit consumption. For example, if you’re summarizing a lengthy document, expect to use more credits.
  • Knowledge Base Access: Interacting with the knowledge base—whether retrieving information or analyzing existing content—tends to consume more credits. This is because accessing, processing, and analyzing data from the knowledge base can be resource-intensive, especially with large or complex entries.
  • Bulk Runs: When you run workflows in bulk, such as processing multiple datasets simultaneously, credit consumption rises significantly. Breaking up tasks or running them in smaller batches can help manage your usage more efficiently.

By considering these factors, you can better estimate credit usage for your tasks and optimize your workflows to make the most of your Cassidy credits.

Tips for maximizing value of your Cassidy credits

While Cassidy credits give you access to powerful AI tools, optimizing how you use them ensures that you get the most value without burning through your monthly allowance. Here are some practical tips to help you stretch your credits further and make the most of Cassidy’s capabilities.

  1. Use Smaller AI Models for Simple Tasks
    Not all tasks need the most advanced AI model. For straightforward actions like summarizing text, correcting grammar, or drafting emails, smaller models can get the job done. By using these lighter models, you conserve your credits for more complex workflows.
  2. Test Workflows with Limited Data First
    When building or testing new workflows, start small. Instead of running the full dataset or more intricate processes right away, try a few steps at a time to make sure everything works as expected. This way, you avoid consuming extra credits on trial runs and can save resources for the final, optimized version.
  3. Keep Chat Conversations Focused
    When interacting with AI assistants, longer chats consume more credits as the AI retains context from previous messages. Starting a new chat after completing a task will typically use fewer credits. For routine tasks, such as drafting or refining content, non-Q&A assistants can help conserve credits while still delivering quality results.
  4. Monitor Your Usage Regularly
    Cassidy makes it easy to keep an eye on your credit usage through the dashboard. By regularly checking your credit consumption, you can adjust your workflows and plan for more intensive tasks without depleting your credits prematurely. If your needs grow, consider upgrading to a custom plan for more flexibility.
  5. Be Strategic with Bulk Runs
    Running workflows in bulk, like processing multiple datasets or documents at once, can significantly increase credit usage. Whenever possible, run workflows in smaller batches or break up larger tasks to avoid overloading your credits.

By following these tips, you'll ensure that your Cassidy credits go a long way, helping you unlock the platform's full potential while staying within your monthly limits. If you ever find yourself needing more credits, we’re here to help with flexible plans designed to scale with your needs.

Build AI automations that work for you and your company

With Cassidy, you’ve got everything you need to build AI automations that streamline workflows and boost productivity. Our platform adapts to your unique needs, whether you’re a small business or a large enterprise. Sign up for a free trial 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. Make.com: AI-Embedded Automation vs. API-Driven Workflows
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Cassidy vs. Make.com: AI-Embedded Automation vs. API-Driven Workflows

About us

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.

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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.

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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.