Questions, asked and answered.
The frequently asked questions clients, security teams, and end users ask us most often. Translated from our internal Q&A. If yours isn't here, send it over, and we'll add it.
Pick the question you came here with.
Connections and systems
What Inquerio AI plugs into, how the connection is made, and what happens when you add more.
Which systems does Inquerio AI support?
Inquerio AI connects to the systems your organization already uses. Today we support, among others: MySQL, PostgreSQL, SQLite, SQL Server (with automatic schema detection), any REST API with an OpenAPI/Swagger specification, and document sources such as PDFs, Excel, and Word. We also connect to platforms like Salesforce, HubSpot, Shopify, Stripe, Google Sheets, Zendesk, Slack, Microsoft 365, Linear, and ServiceNow. If your system isn't listed, we'll discuss what's possible during the intake.
Does it work on our legacy systems?
Yes, that's exactly what Inquerio AI is built for. Many organizations have a 'split brain': old, unconnected systems (often monolithic, with only a database underneath) on one side, and modern applications with APIs on the other. Inquerio AI lies one layer over the top. The underlying systems stay exactly as they are.
How does the connection work technically?
Inquerio AI scans your systems automatically and maps the schemas, endpoints, and data structures it finds. Based on that auto-discovery, the platform generates secure integration layers without custom code.
How many source systems can I connect at once?
There's no hard limit. Inquerio AI is designed to open multiple systems together (databases, APIs, and documents). For each question, the platform decides which sources are relevant.
Can I ask one question across multiple systems at once?
Yes. That's exactly the point. Ask a question like 'which customers in our CRM have outstanding invoices in our accounting system?' and Inquerio AI combines the data from both sources into one answer.
What if a source system is temporarily unreachable?
Inquerio AI detects this and reports it in the answer. The other sources are queried as normal. You always get current data, or a clear notification when that isn't possible.
Can the system grow with us as we add more users or connections?
Yes. The architecture is multi-tenant and scalable. New connections can be added without downtime. User management and permissions are handled through the admin dashboard.
Am I locked into one AI vendor?
No. Inquerio AI is built on an open standard for communication between AI and systems. That standard is supported by multiple AI providers. You aren't locked in, not on the AI side and not with us.
Security and data governance
Where your data lives, who can reach it, and how every question is accounted for.
Where is my data hosted?
With you. Inquerio AI doesn't move, copy, or store your business data. Your data stays in your own systems. The application itself can be hosted in different ways, in the cloud or inside your own environment. What fits best depends on your situation and requirements. We work that out together during the intake.
Is my business data moved or stored?
No. Inquerio AI is a bridge, not a new data source. Data isn't moved, copied, or remodeled. You ask a question, Inquerio AI works out which systems are needed, and pulls the answer live from the source. Your CRM, ERP, databases, and custom applications stay where they are.
Which AI models do you use? Is our data used to train them?
The AI layer runs either through a central cloud solution or a local model in your own environment. The option you choose depends on your compliance requirements and preferences. In every case, your business data is not used to train AI models.
How does the security layer work?
An AI firewall sits between your systems and the AI model. It protects against things like prompt injection, attempts to use cleverly worded questions to retrieve data the user shouldn't have access to. Every user session is isolated: context from one session doesn't leak into another.
Is it read-only, or can Inquerio AI also change things?
Read-only. Inquerio AI retrieves information and presents it. It doesn't mutate anything in your CRM, ERP, or other source systems.
How does role-based access work?
Access is centrally configured with explicit permissions per user, role, and source system.
Is every question logged?
Yes. Every interaction is captured in a detailed view, including the complete conversation among the user, Inquerio AI, and the AI model. You can see exactly what was asked, how it was processed, and what came back.
Is Inquerio AI GDPR-compliant?
The architecture is privacy-by-design. No data is stored or moved. Questions and answers are logged for audit, but business data stays in the source. For specific compliance requirements, we tailor the setup during implementation.
Can employees see each other's data?
No. Access is separated by user, role, and group. An employee only sees data from systems they have access to. This is centrally configurable by the admin.
Can I choose where the AI runs?
Yes. For organizations that don't want data to leave their own infrastructure, we support local models that run fully on-premise.
Who has access to our configuration and connections?
Only authorized administrators within your organization. this.nl does not have standard access to production data or configuration unless explicitly granted for support.
Using Inquerio AI
How asking, refining, and exporting answers work in practice.
What languages does Inquerio AI work in?
Users ask questions in natural language. Inquerio AI supports English, Dutch, German, French, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Russian, Arabic, and Hindi. The answer comes back in the same language as the question.
Do I need to know SQL or any technical language?
No. Just ask the question in plain language. Inquerio AI translates the query into the right format for the right system. That's the whole point.
Can I ask follow-up questions?
Yes. Inquerio AI remembers the context of your conversation within a session. If you first ask about sales and then 'and for this account?', the system understands what you mean. Context is built using vector-based similarity matching and stays within the session.
Does Inquerio AI get smarter the more we use it?
Yes. The platform builds context about how systems, data, and terminology fit together within your organization. Additional documentation can be added to enrich that context. The more it's used, the better it aligns with how your team asks questions.
Can I export answers?
Yes. Results can be exported as PDFs, Excel files, or via the API. You can also have answers automatically forwarded to email, Slack, or webhooks through the built-in output channels.
What if the answer isn't right?
Inquerio AI always shows the source and the underlying query. You can ask a follow-up, rephrase the question, or give feedback. The platform learns from use and gets more accurate as it understands your data better.
Can I automate recurring questions?
Yes. With triggers and schedules, you can have questions run periodically and the results delivered automatically. For example, a daily overview of open orders to your inbox.
Are there limits on the number of questions per day?
There are no hard question limits. Costs are determined by usage of the AI models and are visible in the dashboard.
Dashboards and visualization
Embeddable charts powered by natural-language questions on a schedule.
Can I build dashboards with Inquerio AI?
Yes. Inquerio AI offers an embeddable dashboard feature for graphical views of your data: line charts, bar charts, pie charts, and tables, populated by questions to your sources on a fixed schedule.
Can I embed those dashboards on external pages?
Yes. Dashboards can be embedded in any external website, intranet, or customer portal via an iframe or a lightweight JavaScript widget. The displayed data is fully decoupled from your internal systems; only the results are shown.
How are dashboards filled with data?
You create 'data lines': natural-language questions that run on a fixed schedule (for example, every 15 minutes). The results are saved as snapshots and displayed in the chart. You don't write queries, you just formulate the question.
Is this comparable to Grafana?
Conceptually, yes. You build panels, choose chart types, configure colors and legends, and lay everything out on a grid. The difference: the data source is a natural-language question to your systems instead of a hand-written query.
Integration with existing tools
Where Inquerio AI fits alongside your BI tools, your own applications, and your SSO.
Does it work alongside Power BI or other dashboards?
Inquerio AI isn't a replacement for your dashboards, it's a complement. Results can be exported to existing tooling. In addition, Inquerio AI offers embeddable dashboards that you can drop directly into your own portals.
Can I call Inquerio AI from my own application?
Yes. There's a full REST API with API-key authentication. You can ask questions, fire triggers, and retrieve results from any application that can make HTTP requests.
Does it work with Single Sign-On (SSO)?
Inquerio AI supports passkey and two-factor authentication. SSO integration with existing identity providers is possible on request.
How Inquerio AI compares
ETL, generic AI assistants, custom integrations, data warehouses.
What's the difference between a traditional ETL or iPaaS solution?
ETL processes move and transform data into a new system. Inquerio AI doesn't. It queries sources live, without copies, a data model, or pipeline maintenance. You ask a question and get the answer directly from the source.
What's the difference between ChatGPT and Copilot?
ChatGPT and Copilot are general-purpose assistants that do not have direct access to your business systems. Inquerio AI is built specifically to securely and structurally talk to your internal data, with permissions, logging, and live connections.
Why not just have a developer build it?
You can. But then you build custom code for each connection, each report, and each system. Inquerio AI automates that: connect once, after which anyone in the organization can ask questions without a developer in the middle.
What if we already have a data warehouse?
Then Inquerio AI is complementary. The data warehouse remains a source. Inquerio AI simply answers questions on top of it, just like any other database. No migration needed.
Onboarding and support
How you get started, and what happens once Inquerio AI is live.
What does onboarding look like?
We train you and your designated colleagues or admins in one day. After that, you manage users, permissions, and new integrations independently.
What kind of support do I get after go-live?
Once Inquerio AI is live, we stay involved. We keep it running, adapt where needed, and ensure the solution is future-proof. You sit at the table directly with the technical team at this.nl.
Pricing
How Inquerio AI is priced and what shapes the quote.
What does Inquerio AI cost?
Pricing is per organization and depends on the number of connected source systems, the number of users asking questions, and whether the AI runs in our cloud or on your infrastructure. We don't publish a price list because configurations vary by stack. Request a demo, and we'll quote you in the same conversation.
Is there a trial or proof of concept?
Yes. We typically start with a short proof of concept on a couple of your real systems so you can see Inquerio AI answering your own questions before committing.
Still have a question?
Send it through the contact form, and we'll answer in plain English. We'll also add it here if it's one others are likely to ask.