Cassidy vs Responsive

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

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

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

Internal Productivity

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

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

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

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

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

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

Customer Experience

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

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

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

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

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

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.

Overview

LLMs created a new era of automation. While previous workflow automation platforms could only automate tasks with basic if/then logic, LLMs unlocked complex reasoning in natural language.  

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However, the quality of LLM outputs and decisions is highly dependent on the specific context they’re given. Insufficient, disorganized, or outdated data can cause AI to respond inconsistently (or even hallucinate), making it hugely unreliable for business automation. Enter: Cassidy. 

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Cassidy is a more intelligent automation platform that makes every decision with full context on your business. 

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How it works: Cassidy’s knowledge base connects to your company’s existing knowledge tools (Slack, Notion, Drive, etc.) and automatically cleans, prepares and keeps your business’s data up-to-date. It removes the concept of “one-size-fits-all” logic and instead allows your team to reliably build powerful AI workflows that make complex, human-level decisions, all with a nuanced understanding of your company. 

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Cassidy was built for both non-technical and technical users, making effective AI automations accessible to teams of all shapes and sizes. Today, we’re thrilled to announce our $3.7 million funding led by The General Partnership, Neo, Comma Capital, Spacecadet Ventures, Ride Ventures, and angels like Erik Goldman (Co-founder of Vanta), Jason Dorfman (CEO of Orum), Zach Sims (CEO of Codecademy). We closed our round in November 2023 and have been growing fast...

What makes Cassidy’s automations ‘intelligent’

Companies typically want to consolidate their tooling, and since Cassidy's workflows are tailored to how a business operates, it works ‘intelligently’ in a few different ways: 

It gets smarter with more interactions

Cassidy’s automations improve over time. Each interaction cites its sources, allowing you to verify and exclude specific information through human-in-the-loop processes. This transparency ensures your data remains accurate and up-to-date. As more interactions occur, Cassidy’s performance is refined, incorporating added context and prompt adjustments to continually enhance the system’s reliability.

It understands your business

Cassidy connects with all knowledge tools (Slack, Sharepoint, Confluence, etc.) to give AI context on your business, customers, competitors, brand voice, and more. It pulls the information in real-time so that it’s constantly up-to-date with what’s happening at your company and in the market. This gives Cassidy human-like judgment, and keeps responses consistent across your entire team.

It’s fully composable software

Cassidy allows teams to quickly build custom AI automations and agents. Companies can tailor the software to how their business operates, designing workflows that match their exact team’s processes. We're creating hundreds of AI action blocks combined with all the leading AI models (all included with your plan) so you can bring your AI tech stack into a unified platform. 

AI that can run asynchronously

Cassidy’s workflows allow you to build automations that run even while you’re sleeping. You can create triggers from hundreds of different tools to automate tasks automatically. Because our AI runs with specific guardrails and the full context of your company, you can trust it to perform reliably without needing a human in the loop.

Built for teams of all shapes and sizes

We're making AI automations accessible to teams of all sizes and skill sets. To stay ahead in the age of AI, automation is no longer optional—everyone needs to be able to build out automations. Cassidy is designed to make it incredibly easy for non-technical teams to use and build complex automations. We offer a library of pre-made workflows and a simple text-to-workflow creation process. For more technical teams and granular use cases, Cassidy has the flexibility to add code and prompt engineering. Cassidy also has enterprise-grade permissioning and security that you can trust to keep your data private and encrypted. You can set advanced user-level permissions for your automations and knowledge data to keep your data secure. Learn more about our security (including compliance with SOC II) at trust.cassidyai.com. 

Cassidy in the real world 

We started Cassidy a little over a year ago and are continuously blown away by our customers’ creativity, from startup founders automating responses to RFPs to global public companies automating their sales enablement flows for 12k+ companies. Some use cases to spotlight: 

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RVezy is a leader in online RV rentals that built a suite of sales enablement and customer success automations. Since their business model and ideal customer persona are incredibly nuanced, they couldn’t rely on typical if/then logic or scoring criteria to prioritize and respond to customers. The team embedded Cassidy into their workflows to automate customer support triaging, handle chargeback disputes, and draft replies with highly nuanced context. These automations understand RVezy’s business inside-out and make high-context judgments for each ticket trained on thousands of previous support inquiries.

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“Cassidy allows us to be much more proactive in addressing critical customer complaints - automatically escalating issues to a manager who can solve customer problems quickly”

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E78 Partners, a leading advisory firm, utilizes Cassidy's AI automations for research and knowledge transfer across teams. They've built automations that are hyper-personalized to support industry research and client facing projects.

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"Cassidy personalizes its AI tools to know our business, clients, and industries better than any other AI-enabled company. Across the board, our team is obsessed with using Cassidy as a copilot to refine solutions, research external industry insights, streamline knowledge transfer across teams and find creative ways to automate the day-to-day monotonous tasks."

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Lexer, a customer data platform, generates responses to RFPs in minutes. Their team created an AI workflow that extracts questions from documents, searches their knowledge base for answers, then writes a thorough response in Lexer’s brand voice.

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“I never thought I’d be able to automate responding to our RFPs until I found Cassidy. It was incredibly easy to connect my tools, and helps us respond 3x faster to customers so we can close more deals.”

What’s next

At Cassidy, we believe AI is going to become more and more embedded into how companies operate, starting with automations. If what we’re building resonates, check out our many open roles at cassidyai.com/careers 👈