---
title: "AI Assistant"
canonical_url: "https://www.sorena.io/solutions/assistant"
source_url: "https://www.sorena.io/solutions/assistant"
author: "Sorena AI"
description: "A multi-agent AI assistant that answers compliance questions with verified, cited answers. Specialized agents research in parallel, agree, and link every claim to its source."
---
**[SORENA](https://www.sorena.io/)** - AI-Powered GRC Platform

[Home](https://www.sorena.io/) | [Solutions](https://www.sorena.io/solutions) | [Artifacts](https://www.sorena.io/artifacts) | [About Us](https://www.sorena.io/about-us) | [Contact](https://www.sorena.io/contact) | [Portal](https://app.sorena.io)

---

# AI Assistant

## Answers you can actually trust

Ask one question. A team of specialized AI agents researches in parallel, agrees on the answer, and shows you every source, so you trust it the first time, no re-checking.

[Book a demo](/contact.md) | [Explore the platform](/solutions.md)

```text
HERO SECTION VISUAL (animated demo)

The lines below transcribe the animated product visual shown in this page hero. It illustrates how Sorena works; it is a demo walkthrough, not literal page copy.

Multi-agent assistant
The assistant hero runs a team of agents that research, map, validate, and cross-check a compliance question, then answer with cited evidence.

Are we compliant with DORA Article 11?
  - Researcher - 2,480 sources
  - Mapper - 18 controls
  - Validator - 12 checks
  - Cross-check - 2 resolved

Yes - with two gaps to close. Here is the evidence.
  - No ICT business continuity policy - no documented plan to keep ICT running through a disruption (DORA Art. 11(1))
  - Recovery plan never tested - restore steps have never been rehearsed (DORA Art. 11(6))
  - Cited to DORA Art. 11, ISO 27001 A.5, and your DR policy

Key figures: 98% confidence | 0 hallucinations, every claim cited | 4,820 trusted sources
```

Scrollytelling body of the assistant page walking through a four-step Ask, Research, Agree, Cite journey showing how a multi-agent GRC assistant answers compliance questions with cited, verified evidence.

## Ask like you talk.

*Ask*

No query syntax, no keyword guessing. Ask a real compliance question and the assistant understands the regulation, standard, and context behind it, so anyone on your team gets an expert answer.

```text
IN-PRODUCT VISUAL - Ask like you talk.

What does NIS2 require for incident reporting?
Is our vendor DPA GDPR compliant?
Which SOC 2 controls cover access reviews?
```

## A team, not a chatbot.

*Research*

A researcher, a mapper, a validator, and a cross-checker work your question in parallel, so you get the whole answer in one pass, in seconds instead of days.

```text
IN-PRODUCT VISUAL - A team, not a chatbot.

Researcher - Pulls the rules
Mapper - Matches your context
Validator - Checks the logic
Cross-check - Compares findings
Whole answer assembled in seconds, not days.
```

## They agree before you see it.

*Agree*

The agents cross-check each other and reach consensus, so what lands on your screen has no hallucinations and nothing left for you to re-verify.

```text
IN-PRODUCT VISUAL - They agree before you see it.

Researcher findings
Validator sign-off
Cross-check match
No hallucinations. Nothing to re-verify.
Verified before it reaches you
```

## Every answer, sourced.

*Cite*

Each claim links to the exact document and paragraph it came from, so the answer holds up in an audit. If the assistant cannot source it, it will not say it.

[See the Research Copilot](/solutions/research-copilot.md)

```text
IN-PRODUCT VISUAL - Every answer, sourced.

DORA Art. 11 / para 2
ISO 27001 A.5 / control
Your DR policy / section 4
If it cannot source it, it will not say it.
```

## Related resource

ChatGPT in GRC: Helpful Assistant or False Confidence?

- [Read the article](/resources/chatgpt-in-grc-false-confidence.md)
- Category: Benchmarks

**Contents:**

- [Ask](#ask)
- [Research](#research)
- [Agree](#agree)
- [Cite](#cite)

## Related Solutions

- [Research Copilot](/solutions/research-copilot.md)
- [Single Source of Truth](/solutions/ssot.md)
- [All Solutions](/solutions.md)

## FAQ

**How does the multi-agent assistant actually work?**

You ask one plain question. Behind the scenes, four specialized agents work it in parallel. A researcher pulls the relevant rules, a mapper matches them to your context, a validator checks the logic, and a cross-checker compares their findings. They agree on one answer before it reaches your screen.

**How do you keep it from hallucinating?**

The assistant only answers from verified, source-linked material, and the agents cross-check each other before delivery. If they cannot ground a claim in a real source, the assistant will not make the claim. So what you read has no made-up facts left to catch.

**How do the citations work?**

Every claim in an answer links to the exact document and paragraph it came from, whether that is a regulation, a standard, or your own policy. You can open the source in one click, which is what makes the answer hold up in an audit.

**How is this different from a normal chatbot?**

A normal chatbot is one model guessing from memory, with no sources. Sorena is a team of agents that research live, reach consensus, refuse to guess, and cite every claim. You get an expert answer you can defend, not a confident-sounding paragraph you still have to verify.

## Ask once. Trust the answer.

[Book a demo](/contact.md) | [See the Research Copilot](/solutions/research-copilot.md)


---

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Source: https://www.sorena.io/solutions/assistant.md