ESG

Sunhat alternative: AI tool for answering questionnaires with Response AI

May 20, 2026

Companies today are facing a steadily growing number of questionnaires, ranging from ESG ratings, ESG questionnaires, and due diligence requests to IT security and supplier assessments. These processes are often repetitive and time-consuming, while also requiring consistent and traceable answers.

AI-supported tools address exactly this challenge. Solutions such as Sunhat and Envoria’s Response AI help companies answer questionnaires automatically based on internal data and documents, significantly reducing the effort involved.

But how do the two approaches differ, and when is which solution the better choice?
 

What a good AI tool for answering questionnaires needs to offer


Regardless of the provider, there are several key requirements that modern solutions should meet:

  • Use of existing company documents as a knowledge base
  • Generation of structured and consistent answers
  • Traceability through sources and evidence
  • Identification of data gaps
  • Support for review and approval processes

Especially in an ESG and compliance context, it is essential that answers are not only generated quickly, but are also auditable and reliable.
 

Similarities between Sunhat and Response AI


Both Sunhat and Envoria’s Response AI address the key challenges of AI-supported questionnaire completion. Both solutions aim to automate recurring processes, make efficient use of existing company knowledge, and significantly improve the quality and traceability of answers.

  • Document-based AI: Both solutions generate answers based on internal company documents uploaded by the organization, rather than relying on generic AI knowledge. This significantly improves the quality and reliability of the answers.
  • Sources and evidence (proof): A central component of both tools is linking answers to specific sources. This creates transparency and makes it easier to provide evidence during reviews by internal or external stakeholders.
  • Detection of data gaps: Both Sunhat and Response AI identify missing or incomplete information and actively help improve the underlying data basis.
  • Structured workflows: From importing a questionnaire and generating AI-supported answers to review and approval processes, both tools provide clear workflows for collaboration.
     

Differences between Sunhat and Response AI


Specialization and use

While both tools are similar in many core functions, they differ in their product philosophy and usage focus.

Sunhat positions itself as a specialized “Collaborative Proof Platform” for ESG, compliance, and audit processes. This is also reflected in the depth of individual functions, for example in proof management, ratings, or integration-based enterprise workflows.

Response AI, on the other hand, takes a more flexible approach. The tool can be used independently for individual questionnaire and request processes or, if needed, connected with additional data and modules within the Envoria platform.

This creates different usage scenarios:

  • Sunhat is particularly suitable for companies that need highly specialized proof processes and in-depth functionality
  • Response AI is particularly suitable for companies that want to get started quickly, cover different use cases, or initially establish AI-supported questionnaire completion flexibly within the organization
     

Getting started and scaling

One factor that is often underestimated when selecting an AI tool for answering questionnaires and other requests is how easy it actually is to get started. In addition to functionality and use cases, the speed and flexibility with which a tool can be introduced in the company often play an important role in practice.

While specialized solutions are often designed for larger, structured setups and typically require a demo, a guided sales process, and an additional implementation phase, Envoria Response AI offers a much lower barrier to entry.

The tool can be used directly via the website, both for getting started and for productive use. This gives companies the opportunity to:

  • Begin with initial use cases without a long lead time
  • Test and evaluate the tool independently within the organization
  • Use the basic version free of charge in the long term or involve additional teams and use cases

Response AI also remains flexible in use:

  • Upgrade or downgrade between the free basic version and the paid Pro version as needed
  • Different payment models for the Pro version, monthly or annually
  • Scaling is based on actual usage within the company

This leads to a different implementation model: while Sunhat tends to follow a classic, guided implementation process, Envoria Response AI enables an easy entry point where companies can start small and expand usage as needed. Especially for organizations that are just beginning to use AI to answer questionnaires more efficiently, or that only need to answer a few questionnaires per month, this flexibility can be a decisive advantage.
 

Feature comparison of Sunhat and Response AI at a glance


To make the similarities and differences between Sunhat and Envoria’s Response AI tool easier to understand, it is worth taking a structured look at the most important features in direct comparison. The following overview compares key criteria and shows where both tools follow similar approaches and where differences emerge.

Criterion

Sunhat

Response AI

AI tool for answering questionnaires

Yes

Yes

Answers are based on internal documents

Yes

Yes

Sources/evidence (proof) included

Yes

Yes

Detection of missing information (gap detection)

Yes

Yes

Review and approval processes

Yes

Yes

Support for ESG questionnaires, such as CDP or EcoVadis

Yes

Yes

Support for ESG ratings, such as MSCI or Sustainalytics

Yes

Yes

Support for supplier/compliance frameworks, such as SEDEX, SMETA, or SAQ

Yes

Yes

Support for reporting standards, such as GRI, CSRD, or VSME

Yes

Yes

Support for certifications, such as ISO or EMAS

Yes

Yes

Use beyond ESG & compliance, such as finance, risk, or RFPs

Limited

Yes

Use as a standalone tool

Yes

Yes

Creation of custom questionnaire templates

Yes

Yes

Editing AI-generated answers in the tool

Yes

Yes

Editing AI-generated answers in MS Word/Excel

Yes

Limited

Integration into a broader reporting/compliance platform

Limited

Yes (Envoria)

Connection to existing systems

Yes, via interfaces

Yes, via connector to the Envoria platform

Free entry option

No

Yes

Direct tool registration

No

Yes

 

Which tool is the better fit?


Sunhat is particularly suitable when:

  • ESG ratings and compliance are the main focus
  • Dedicated proof management needs to be established
  • Processes are highly structured and audit-driven
  • A solution focused on a collaborative proof platform is required

Envoria Response AI is particularly suitable when:

  • Different types of questionnaires need to be processed
  • Knowledge should be centralized and reused multiple times
  • Evidence management with traceable sources is important
  • Integration into further reporting and compliance processes is desired when needed
  • A fast start, including a free basic version, is preferred
     

Conclusion: two strong solutions – and when Response AI is the right alternative to Sunhat


Both Sunhat and Envoria’s Response AI offer powerful features for AI-supported questionnaire completion and meet the central requirements of ESG, compliance, and due diligence processes. The differences lie less in the core features and more in how the tools are used and how flexible they are in practice:

Sunhat is clearly focused on structured ESG and compliance processes as well as proof management.

Response AI can be used both as a standalone tool for answering questionnaires and, if needed, integrated into broader reporting and compliance processes within the Envoria platform.

For many companies, this flexibility is exactly what matters. Response AI can be used for specific use cases, such as ESG questionnaires, customer requests, or due diligence processes, without requiring a comprehensive system implementation. At the same time, the option remains open to integrate the tool into additional processes or systems later on.

Another key difference is the entry point: while access to specialized solutions often involves a demo or sales process, Response AI can be used directly. Companies can register independently, get started immediately, and process their first questionnaires, regardless of whether they initially want to test the tool or use it productively.

👉 This makes Response AI a particularly suitable alternative for companies that want to get started quickly, stay flexible, and decide for themselves how extensively they use the tool – from a single use case to broader use across the company.

Di Kristin Bechtold

Why ESG questionnaires have become a bottleneck for companies

Read more

How to answer ESG questionnaires with a structured software workflow

Read more

AI in ESG reporting: Reality, potential, and limitations

Read more