A conversational interface that queries your risks, models, vendors, incidents, tasks, and policies—returning insights with interactive charts.

The challenge
You have risks, models, vendors, incidents, tasks, and policies in your AI governance system. But getting insights requires knowing which filters to apply, which reports to run, and how to interpret the results. Most users don't have time to become power users of every feature.
Getting a quick executive summary requires clicking through multiple screens
Trend analysis across time periods is manual and tedious
Non-technical stakeholders can't easily explore governance data
Answering ad-hoc questions means building custom reports
Insights are locked behind knowing exactly where to look
Benefits
Key advantages for your AI governance program
Ask questions about your data in natural language
Get executive summaries and analytics on demand
Visualize trends with auto-generated charts
Use your preferred LLM provider (Anthropic, OpenAI, OpenRouter)
Capabilities
Core functionality of AI advisor
Get instant guidance across risk management, model inventory, model risks, vendors, incidents, tasks, and policies domains from your AI governance assistant.
Visualize advisor usage trends, query categories, and resolution effectiveness with interactive charts.
Ask questions in plain English and get charts, tables, and analytics generated automatically from your governance data.
Access purpose-built tools for risk scoring, gap analysis, policy drafting, and compliance checking.
Chat history saved per domain so you can continue analysis across sessions with full context maintained.
Enterprise example
See how organizations use this capability in practice
An organization's CISO needed to brief the board on AI risk posture but didn't have time to generate reports from multiple dashboards. Compiling risk summaries, vendor status, and incident metrics manually took hours.
Using the AI Advisor, they asked questions like 'Give me an executive summary of our risk posture' and 'Show me vendor risk distribution by severity.' The advisor queried the actual governance data and returned summaries with charts.
Board briefings that previously took hours to prepare now take minutes. Leadership can ask follow-up questions in real-time during meetings. The conversation history means previous analyses are always accessible for reference.
Why VerifyWise
What makes our approach different
Ask 'What are my high severity risks?' or 'Show me vendor review status' and get immediate answers from your actual data.
The advisor has specialized tools for risks (4), models (3), model risks (3), vendors (4), incidents (3), tasks (3), and policies (5). It chooses the right tool for your question.
Responses include pie charts, bar charts, line charts, or tables when visual representation helps. No manual chart building required.
Connect Anthropic, OpenAI, or OpenRouter API keys. Use Claude, GPT-4, or any OpenRouter-supported model as your advisor backend.
Regulatory context
When regulators or auditors ask questions, you need answers quickly. The AI Advisor lets you query your compliance data in natural language rather than navigating through multiple screens and reports.
Auditors ask ad-hoc questions about risk status, vendor oversight, and incident history. Natural language queries provide faster answers than manual report generation.
Leadership needs governance summaries without technical navigation. The advisor generates executive summaries with visualizations on demand.
Demonstrating improvement over time requires historical analysis. Time-series tools show risk and compliance trends across configurable periods.
Technical details
Implementation details and technical capabilities
7 domains: Risk Management, Model Inventory, Model Risks, Vendors, AI Incidents, Tasks, Policies
25 specialized tools: fetch data, get analytics, executive summaries, history timeseries, template search
3 LLM providers: Anthropic (Claude), OpenAI (GPT-4), OpenRouter (various models)
4 chart types: Pie charts, bar charts, line charts, and tables auto-generated from query results
Agentic loop architecture: LLM calls tools, executes queries, and synthesizes results
Conversation persistence: Up to 50 messages per domain, saved across sessions
Multi-tenant data isolation: All queries scoped to your organization's data only
FAQ
Frequently asked questions about AI advisor
Seven domains: Risk Management (fetch risks, analytics, executive summary, history), Model Inventory (fetch models, analytics, summary), Model Risks (fetch, analytics, summary), Vendors (fetch vendors, vendor risks, analytics, summary), AI Incidents (fetch, analytics, summary), Tasks (fetch, analytics, summary), and Policies (fetch, analytics, summary, template search, recommendations).
Three providers: Anthropic (Claude models), OpenAI (GPT-4, GPT-4-turbo), and OpenRouter (access to various models). You configure API keys in organization settings and select which to use for advisor queries.
The advisor uses an agentic loop: your question goes to the LLM, which decides which tools to call, tools query your tenant's database, results return to the LLM, and it synthesizes a response. All queries are scoped to your organization's data only.
Four chart types: Pie charts for distributions (risk severity, vendor status), bar charts for comparisons, line charts for trends over time, and tables for detailed summaries. The advisor chooses the appropriate visualization based on your query.
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See how VerifyWise can help you govern AI with confidence.