Data Apps
Overview
Understand what Data Apps are and how they help bring AI into business workflows.
What Are Data Apps?
Data Apps in AI Squared are lightweight, embeddable interfaces that bring AI/ML outputs directly to the point of business decision-making. These apps allow business users to interact with AI model outputs in context—within CRMs, support tools, or web apps—without needing to switch platforms or understand the underlying AI infrastructure.
Data Apps bridge the last mile between ML models and real business outcomes.
Key Benefits
- ⚡ Instant Access to AI: Serve AI insights where work happens (e.g., Salesforce, ServiceNow, internal portals)
- 🧠 Contextualized Results: Results are customized for the business context and the specific user
- 🛠 No-Code Setup: Configure and publish Data Apps with zero front-end or back-end development
- 📊 Feedback Loop: Collect structured user feedback to improve AI performance and relevance over time
Where Can You Use Data Apps?
- Sales & CRM platforms (e.g., Salesforce, Hubspot)
- Support & ITSM platforms (e.g., Zendesk, ServiceNow)
- Marketing tools (e.g., Klaviyo, Iterable)
- Internal dashboards or custom web apps
What’s Next?
- 👉 Create a Data App: Build your first app from a connected model
- 👉 Embed in Business Apps: Learn how to deploy your Data App across tools
- 👉 Configure Feedback: Capture real-time user input
- 👉 Analyze Reports: Review app usage and AI effectiveness