Chat with Documents
Interact with your documents through a conversational interface. Ask questions, extract insights, or retrieve specific information directly from your uploaded files with full source citations.
Built for Compliance Officers, Consultants, Auditors, and GRC teams who demand accuracy and full audit trails.
Dealing with complex and growing regulations is a major challenge. This AI platform provides essential support for Governance, Risk, and Compliance (GRC) teams. It offers knowledge that is easy to verify, helps structure review and assurance work, and automates tasks that usually require deep thought. This allows compliance leaders to spend less time searching through documents and more time on strategic oversight and reducing risk.
Cut down research time dramatically by asking complex, natural-language questions and receive an accurate answer grounded in the latest regulations, internal manuals or your entire knowledge base.
Conduct self-assessments to benchmark current maturity against established internal controls and external regulatory frameworks. Streamline audit preparedness by automatically identifying gaps for a transparent and efficient review process.
Deploy specialized, multi-stage AI agents to execute intricate, rule-based workflows, such as risk categorization or regulatory mapping.
Analyze complex operational documents to accurately synthesize key obligations, controls, and dependencies.
Interact with your documents through a conversational interface. Ask questions, extract insights, or retrieve specific information directly from your uploaded files with full source citations.
Perform advanced searches across your documents using semantic understanding. Find relevant content based on meaning and context, not just keywords, to quickly locate precise information.
Create controls and assign them to compliance frameworks. A comprehensive set of ISO 27001 controls is pre-configured, with additional frameworks in development.
Conduct automated checks against your documents to verify whether requirements are met. Generate clear, ready-to-use reports summarizing the results of the analysis.
Identify subject, predicate, and object triplets within documents and visualize them in a knowledge graph for better understanding of relationships.
Choose between secure cloud environments (e.g., Vertex AI) or self-hosting to meet internal data sovereignty policies. Your data remains private and segregated.
Leverage services like Vertex AI that guarantee a high level of privacy, or connect your local LLM to keep sensitive data fully on-premises.
Maintain complete oversight with detailed logs of every AI interaction. Track queries, responses, and data sources to ensure transparency and compliance across your organization.
Provides multiple options to reduce errors and hallucinations, e.g. using multiple LLM´s to challenge results or making use of Knowledge Graphs.
Users can choose their preferred LLM and embedding models to best fit their specific needs.
Comes with an extendable set of controls for several compliance frameworks.
Monitor your token usage in real-time to stay on top of your budget. AI responses are reused to prevent redundant queries. This eliminates the cost of unnecessary double prompts.
Automate tedious tasks to accelerate readiness and focus on high-impact activities.
Access insights instantly, enabling quick responses to auditor inquiries.
Perform independent assessments anytime, empowering proactive compliance management independent from a GRC tool.
Large Language Models (LLMs) are not all designed for the same trust, security, and governance context. A critical distinction exists between enterprise-grade LLM platforms, which are built to operate within regulated, contractually governed environments, and consumer-grade public LLM services, which are optimized for ease of use and broad adoption by individuals. Understanding this distinction is essential when evaluating data protection, privacy, and compliance risks.
Senior leaders are caught between stringent audit demands and shrinking budgets, passing the 'do more with less' mandate directly to overstretched Compliance teams. This creates the Compliance Paradox: an urgent need to manage expanding regulatory complexity with increasingly minimal resources.
Generative AI promised to transform consulting, but professionals face a major hurdle: hallucinations. Standard AI models rely on memory, often producing invented regulations and unverifiable advice. In a field where a single misquoted clause is a liability, “mostly accurate” isn’t enough
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