From the marketing site to the product to ongoing support. AI is foundational to how Rava works. Three agents. One trust model. Zero bolt-ons.
Each agent stays in its lane and respects your permissions. The AI can never see or do what the user cannot.
Walks visitors from question through pricing, proposal, and signup. Or hands off to a human at any moment. Try her now: bottom-right of every page.
Like having a knowledgeable guide available 24/7. One who knows your industry and Bermuda's regulations.
Conversational AI inside Rava. Looks up real employee data via secure tool calls. Proposes record changes. But never applies without your explicit approval.
Like having a payroll consultant available 24/7. One who knows your data and Bermuda's regulations.
Turns plain-English questions into reports. "Show me total payroll costs by department for Q1." Iris picks the data sources, filters, and grouping for you.
Like having a BI analyst available 24/7. Without the report-request queue.
Describe what you need. Iris configures the report. Selecting the right data sources, filters, grouping, and sorting. And shows it to you in real time. Edit conversationally. Save and share.
An intelligent diagnostic system that performs dual analysis: it examines both your setup data and the application code to tell you whether an issue is a configuration problem or a software defect.
Processes all records for accuracy. No sampling. Paginated for large datasets. 100% data coverage.
Examines user configuration and application source code to pinpoint root causes. Your setup vs. Our software.
When a code issue is found, Rava automatically files a defect in Azure DevOps. No tickets to write, no engineering escalation needed.
Rava's AI capabilities respect the security model the rest of the platform was built around.
Patty proposes changes. Humans approve them. Proposals expire after one hour. Never applied automatically.
AI operates within the user's existing role-based permissions. Can never see or modify data the user cannot access.
AI requests are always scoped to the user's account. Architecturally impossible cross-tenant data leakage.
Every AI interaction, tool call, and proposal logged. 7-year retention. Immutable.
Statistical summaries used for analysis never contain personally identifiable information.
The system analyzes complete datasets rather than sampling. Payroll errors affect people's livelihoods.
Maren is right here. Bottom-right of every page. The same AI patterns power Patty and Iris inside the product.
In production this would play the walkthrough.