Most people have had the experience of finishing a research task only to realise they can't remember where a key fact came from. The answer is there, but the trail isn't. That gap — between knowing something and being able to show where you learned it — is what makes a lot of AI-assisted research feel risky.
askFinz Research is built around a different starting point: every claim stays attached to its source, from the moment you ask.
Why citations change what you can do with an answer
An answer without a source is a starting point. An answer with a source is something you can act on, hand to a colleague, or put in front of a client. The difference matters in any work where someone else will read what you produce.
When an AI summarises information without keeping track of where it came from, you end up doing two research jobs: one to get the answer, and a second to verify it. Cited answers collapse those into one.
What this looks like in practice
You start with a question — the kind you'd normally spend an afternoon piecing together across browser tabs, PDFs, and emails. Research gathers the relevant material and returns a structured answer with each claim visibly attached to the source that supports it. You can read back through the sources, quote from them directly, or pass the whole thing on knowing that the next person can see exactly where the information came from.
It works equally well for:
- Competitive or market research — pull together what's been written on a topic and surface the key points without losing the references.
- Policy and compliance questions — trace every conclusion back to the specific document or clause it rests on.
- Client-facing work — produce notes and briefings that a reader can trust because they can verify them.
Sharing work that stands up
The moment you share a cited answer, the conversation changes. Instead of "where did you get that?", the question becomes "what do we do next?" That's a much better place to be — whether you're presenting to a client, reporting to a manager, or handing work to a team member who'll take it further.
If you're building a shared base of knowledge for your team rather than answering one-off questions, the knowledge base is where that material lives between sessions.
Further reading
- Put your whole team's knowledge in one place — cited research is more useful when it feeds a shared library your team can search later.
- AI for wealth & finance teams — how cited answers apply in a client-facing, regulated context.
- The academic literature on information verification and source credibility is collected in part by the Reuters Institute for the Study of Journalism.