What exactly is Hoop AI and what kinds of teams benefit?
Hoop AI is a connected set of intelligent tools, including assistants, agents, and embedded features, that operate across your entire customer platform. It works across marketing, sales, service, commerce, and operations, drawing power from your unified CRM context.
While the AI is designed for various roles, initial benefits are often seen in teams focused on content and email generation. As you expand its use, teams layering in sales prospecting and service deflection see compounding value quickly. Key roles that benefit immediately include:
- Product Managers and Data Scientists who need quick insights.
- Automation Leads and Agency Owners looking to streamline workflows.
- Founders and Business Owners focused on accelerating growth.
How do the Hoop AI assistants differ from AI agents?
The core difference lies in their scope and independence of action. Hoop AI assistants are tools designed to help people work significantly faster by handling specific, productivity-boosting tasks within your workflows. They require human oversight and input.
In contrast, Hoop AI agents are designed for end-to-end automation. They can replace entire manual tasks by planning, executing, and learning from outcomes, all while operating within guardrails that you control. This allows for deep automation of processes like prospecting, ad operations, and customer support. For example:
- Assistants draft emails and summarize calls.
- Agents can automate lead qualification and service responses completely.
Both leverage the same CRM context to ensure relevance and accuracy.
How is the pricing for Hoop AI features structured across plans?
Pricing for Hoop AI is structured across three main tiers, aligning the features with the scale and needs of your organization. This approach ensures that even Core users gain immediate value from embedded AI capabilities.
The plans progress as follows, unlocking more advanced functionality at each step:
- Core: Includes foundational, embedded AI features like the AI email writer, basic conversation summaries, and a starter template library.
- Pro: Unlocks AI assistants across marketing, sales, and service hubs, adding features like AI-guided selling, advanced reporting, and API access for assistants.
- Enterprise: Introduces the powerful, configurable AI agents, along with advanced governance, audit trails, and extensibility for custom AI apps, plus dedicated support.
How does Hoop AI ensure data privacy and maintain security compliance?
Hoop takes data privacy and compliance very seriously. The AI features always run on top of your unified CRM, ensuring data access respects the permissions you have already set within your Hoop account policies. Outputs generated by the AI are meticulously logged, which provides transparency and supports robust governance efforts.
To enforce compliance and security, the platform offers several critical controls:
- Role-based permissions (RBAC) control who can use AI features.
- Approval flows manage the publishing of AI-generated content.
- Audit trails track all interactions and outputs for review.
Admins retain full control over data access, retention, and export settings.
Can Hoop AI integrate with the existing applications in our tech stack?
Yes, Hoop AI is designed to integrate seamlessly with your existing technology stack. Connectivity is a key component to ensure the AI works effectively with the tools your team already uses daily. You can connect various data sources and applications through our comprehensive marketplace.
The platform uses a robust data sync capability, which ensures that the AI has access to the most up-to-date and accurate information across all connected systems. This unified data context is what powers the relevance of the assistants and agents, making sure AI-assisted activities are tied directly to your business outcomes and providing comprehensive attribution for ROI measurement.
What is the recommended initial setup and time to value for AI features?
You can begin using Hoop AI quickly without needing to rely on a development team. Many customers achieve initial value almost immediately by starting with the prebuilt assistants and agents available in the platform.
The recommended path for fast time-to-value is:
- Start with basic content generation tools (like email and blog ideas) for marketing teams.
- Layer in sales tools such as prospecting and next-best actions.
- Implement service deflection strategies, expanding the usage as the value begins to compound across the organization.
As your use scales, your administrators can easily add necessary governance, approval workflows, and custom configurations to ensure the AI features align perfectly with your complex business needs.