Cassidy | Build AI agents that operate like your team


Cassidy AI
Cassidy

Introduction

Cassidy is an enterprise-grade AI automation platform designed to create ‘AI teammates’ that integrate deeply with a company’s internal knowledge and existing software stack. Unlike generic chatbots, Cassidy provides a no-code environment where teams can build context-aware agents and multi-step workflows. It excels at centralizing fragmented company data into a unified Knowledge Base, allowing AI to perform complex tasks like drafting RFP responses, triaging support tickets, and automating CRM updates with high accuracy and brand consistency.

Use Cases

  • Automated RFP & Proposal Drafting
    Quickly generate accurate responses to Requests for Proposals (RFPs) by pulling approved answers from the internal knowledge base.
  • Sales Deal & Customer Q&A
    Empower sales representatives with real-time access to client documents, contracts, and CRM records to answer complex prospect questions instantly.
  • Customer Support Triage & Drafting
    Automatically route incoming helpdesk tickets based on urgency and topic, and generate high-quality draft replies for support agents to review.
  • Automated Competitor Tracking
    Deploy agents to monitor competitor websites and social updates, surfacing key strategic shifts and positioning changes for the marketing team.
  • Internal Knowledge Search
    Provide employees with a ‘Siri for business’ that can find specific answers across siloed tools like Google Drive, SharePoint, and Slack.

Features & Benefits

  • Unified Knowledge Base with Continuous Sync
    Connects to your company’s wikis and documents, automatically updating in real-time so AI agents always act on the latest information.
  • No-Code Workflow Builder
    Allows non-technical users to design complex, multi-step automations using AI-assisted creation tools, bypassing the need for IT intervention.
  • Agentic Reasoning & Decision Making
    Agents are capable of handling nuance and exceptions rather than following rigid scripts, making them suitable for high-variance business tasks.
  • Omnichannel Deployment
    Deploy your AI agents directly into the tools your team already uses, including Slack, Microsoft Teams, and specialized browser extensions.
  • Human-in-the-Loop Guardrails
    Includes built-in precision controls and approval steps to ensure that AI-generated content or actions meet company standards before going live.

Pros

  • Deep Business Context
    The platform’s ability to ingest and understand company-specific terminology and SOPs results in much higher accuracy than generic AI tools.
  • Enterprise-Grade Security
    Fully compliant with SOC 2 Type II, GDPR, HIPAA, and CASA, with a strict policy against training models on user data.
  • Dedicated Solutions Team
    Offers a hands-on partnership model where experts help design, build, and refine agents to ensure measurable ROI.

Cons

  • Platform Complexity
    While no-code, setting up highly effective multi-agent workflows across different systems still requires a strategic approach to context engineering.
  • Potential Cost Barrier
    The high-end enterprise features and dedicated support model may be priced out of reach for very small businesses or solo entrepreneurs.

Tutorial

None

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