FaceUp

Whistleblowing compliance gets smarter with FaceUp AI reporting insights

Your compliance officers need real-time visibility into anonymous reporting trends. Your AI agent pulls FaceUp statistics on demand, surfacing report volumes, average response times, and resolution rates across departments. Compliance reviews happen faster with data at conversational speed.

Chosen by 800+ global brands across industries

Compliance metrics your agent delivers instantly

From report volumes to response benchmarks, your AI agent queries FaceUp's GraphQL statistics endpoint and returns the numbers your compliance team needs.

Retrieve Report Counts

A compliance officer asks how many reports came in last quarter. Your AI agent queries FaceUp's statistics endpoint with the date range, returns the numberOfReports metric, and gives a clear count without logging into the admin panel.

Check Average Response Time

Leadership wants to know how quickly reports are being addressed. Your agent fetches the avgResponseTime statistic from FaceUp for any given period, delivering response benchmarks in seconds instead of manual dashboard reviews.

Filter by School or Department

A district administrator needs reporting data for specific schools. Your AI agent passes schoolIds as variables to the FaceUp GraphQL query, returning statistics scoped to individual institutions rather than the entire organization.

Generate Date Range Reports

An HR director requests a year-over-year comparison of whistleblowing activity. Your agent executes multiple FaceUp queries with different from and to date parameters, then presents a clear comparison of reporting trends.

Monitor Compliance Trends

The ethics committee asks whether reporting volumes are increasing or declining. Your agent pulls FaceUp statistics for consecutive periods and highlights the trajectory, helping leaders identify whether awareness campaigns are working.

Export Statistics on Demand

During a board meeting, someone asks for the latest compliance numbers. Your AI agent instantly queries FaceUp and delivers current report counts and response metrics, no screen-sharing or dashboard navigation required.

FaceUp

Use Cases

Compliance conversations powered by data

See how compliance teams use AI agents to surface FaceUp whistleblowing metrics, answer leadership questions, and stay audit-ready without manual report pulling.

Board-Ready Compliance Numbers in Seconds

A board member messages your internal compliance chatbot asking for this quarter's whistleblowing report count. Your AI Agent queries FaceUp's GraphQL statistics endpoint with the current quarter's date range, retrieves the numberOfReports and avgResponseTime metrics, and presents a clean summary. The board member gets instant data. Your compliance team skips the manual report generation entirely.

Multi-School Reporting Audits Made Simple

A district compliance officer needs to compare anonymous report volumes across five schools before an audit. Your AI Agent runs FaceUp statistics queries filtered by each school's UUID, compiles the results, and highlights which locations have unusually high or low activity. The officer spots trends in minutes. Previously, this analysis required exporting CSVs from the FaceUp admin panel for each school individually.

Post-Campaign Effectiveness Tracking

After launching an ethics awareness campaign, the HR director asks whether reporting activity has changed. Your AI Agent queries FaceUp for the 30 days before and 30 days after the campaign launch, compares numberOfReports for both windows, and presents the delta. Leadership sees immediate impact data. No waiting for the quarterly compliance review to measure campaign effectiveness.

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FaceUp

FAQs

Frequently Asked Questions

What specific FaceUp data can the AI agent retrieve during a conversation?

The agent queries FaceUp's GraphQL statistics endpoint to retrieve report counts (numberOfReports) and average response times (avgResponseTime). These metrics can be filtered by date range and by specific school or department IDs. The agent does not access individual report content or whistleblower identities.

Does the Tars integration compromise the anonymity of FaceUp reporters?

No. The integration only accesses aggregate statistics through FaceUp's statistics API. It retrieves numerical metrics like report counts and response time averages. Individual report details, whistleblower identities, and report content are never exposed to the AI agent. Reporter anonymity remains fully protected.

How do I find my FaceUp API key and region for setup?

Your FaceUp API key is available in your FaceUp administration panel. The region setting, which determines where your data is stored, can be found under Settings then Organization settings. Enter both values in the Tars dashboard when adding the FaceUp tool. No additional technical configuration is required.

Can the agent filter statistics for specific schools or departments?

Yes. FaceUp's statistics endpoint accepts schoolIds as a parameter, which maps to organizational units. Your AI agent can pass one or multiple UUIDs to scope results to specific schools, departments, or subsidiaries. This is useful for multi-location organizations needing targeted compliance data.

What date range formats does the FaceUp query support?

The agent passes date parameters in standard format (e.g., 2024-01-01 to 2024-06-30) to FaceUp's GraphQL variables. You can ask for last quarter, last month, year-to-date, or any custom range. The agent converts natural language date references into the correct format automatically.

How is this different from checking the FaceUp admin dashboard directly?

The FaceUp dashboard requires logging in, navigating to analytics, and setting filters manually. With Tars, compliance officers simply ask a question in conversation and get the numbers instantly. This is especially valuable during meetings, audits, or when non-admin stakeholders need data without dashboard access.

Can the AI agent compare reporting trends across different time periods?

Yes. The agent can execute multiple queries with different date ranges and present the comparison. Ask for month-over-month changes, quarter-over-quarter trends, or before-and-after comparisons around specific events like policy changes or awareness campaigns. The agent handles the math and presents the delta clearly.

Does Tars store any of my FaceUp whistleblowing statistics?

No. Tars queries FaceUp in real-time during each conversation. Statistics are fetched live, used to generate the response, and not persisted in any separate database. Your compliance data remains in FaceUp's infrastructure, and Tars acts purely as a conversational interface to that data.

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Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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