Document review with AI agents

Q: What sets AI agents apart from simple text recognition?

Text recognition simply reads documents – AI agents review them: They compare versions, evaluate content against technical criteria such as allergens or EHS requirements, generate comparison reports, and substantiate each result with a source reference in the original document.

Q: How is audit trail compliance ensured?

Every piece of extracted information is annotated with a reference to its location in the source document. This ensures that decisions remain transparent, verifiable, and audit-proof – even when reviewed by auditors.

Q: Can the solution be extended to other document types?

Yes. The modular structure of our in-house developed hybrid architecture allows for the flexible integration of additional document types, review criteria, or regulations – while maintaining full traceability.

Q: Do our documents remain on-premises?

The hybrid architecture is designed to adapt to your security requirements –including operation with local components for sensitive content.

Why is manual document review a risk?

Manual document review – especially the updating and verification of certificates, contracts, specifications, and regulations – is time-consuming and prone to errors. It consumes valuable resources and can lead to delays and discrepancies that disrupt business operations and pose potential risks. Our AI-powered solution automates document review and significantly reduces the manual effort involved.

How do AI agents review documents?

Advanced AI agents, based on large language models, analyze existing and new documents and generate a clear comparison report:

Intelligent document analysis: The agents identify relevant differences and changes between document versions, including subtle variations.

Automated reporting: A clear comparison report highlights the identified differences and facilitates review and editing.
Efficient review and updates: The manual review process is significantly reduced, and results are available faster and with greater precision.

Case study: Mann & Schröder – Automatically verifying raw material certificates

Product and supplier documents form the foundation for safe, sustainable, and compliant products. Raw material certificates, ingredient lists, and supplier documentation contain critical information on chemical components, concentrations, allergens, or substances hazardous to health. Manually reviewing and consistently evaluating this information is time-consuming and poses risks to EHS, compliance, and sustainability.

For Mann & Schröder, abat has developed an application featuring several specialized AI agents that perform targeted analyses of product and supplier documents. The focus is not on bulk processing, but on the technically precise extraction of relevant information from complex documents – such as certificates, contracts, specifications, or regulations.

Among other things, the AI agents identify information on fragrances, chemical ingredients, concentrations, certifications, and references to allergens or health-hazardous components. All extracted information is traceable at any time: The results are enriched with references to the respective source in the document, ensuring that decisions remain transparent, verifiable, and audit-proof.

In addition, another AI agent enables the structured comparison of products from multiple suppliers – for example, with regard to ingredients, EHS-related characteristics, or sustainability criteria. This provides product management and procurement with a well-founded, traceable basis for decision-making that supports both regulatory requirements and sustainable procurement goals.

The entire solution was developed in-house by abat and implemented using a hybrid architecture. The modular design allows for the flexible integration of additional document types, criteria, or regulations, while maintaining a consistently high level of transparency and traceability of the results.

Key benefits at a glance

Data-driven management of sustainability and EHS through targeted AI analyses of product and supplier documents
Full traceability of all results thanks to source references directly in the original document
Well-informed decisions for product management and procurement through comparable, structured information
In-house AI agents in a flexible hybrid architecture – expandable to include additional documents and regulations

Advantages and benefits

Time savings:
Documents are reviewed and updated more quickly.

Greater accuracy:
Automation reduces errors and improves review quality.

Cost reduction:
Lower personnel costs and fewer error-related costs.

Freeing up resources:
Employees can focus on more important tasks.

Quick changes:
Minor adjustments can be efficiently identified and implemented.

Flexibly scalable:
For any volume of documents – including individual, technically complex documents such as certificates, contracts, specifications, or regulations.

Make your document review audit-proof

How many certificates, contracts, specifications, and regulations does your team review manually? Talk to us – we’ll use your own documents as examples to show you how AI agents review, compare, and verify.

AI agents are just the beginning. With AI-Shore, we develop customized, data-protection-compliant solutions that integrate with your existing systems. Our on-premises or hybrid AI models meet high security standards and take your document review to a whole new level. Learn how AI-Shore can make your AI vision a reality

Frequently asked questions about document review with AI agents

What are AI agents?

AI agents are software programs that independently review documents, back up every statement with a source reference, and prepare decisions. In doing so, they reduce manual effort, accelerate processes, and create a reliable foundation for well-informed decisions.

What sets AI agents apart from simple text recognition?

How is audit trail compliance ensured?

Can the solution be extended to other document types?

Do our documents remain on-premises?