copilot

Trust Layer | by Assenteo

By:DUVO

Issued: 2025-10-02

This certificate summarizes the information DUVO has provided about copilot and its data usage.

To learn whether DUVO meets additional AI governance standards, contact us here.

copilot

Product Name

DUVO

Company

Oct 2025

Certificate Issued

Product Overview

Purposes & Use Cases

No purposes defined

AI Model

Single model: ff

Certificate issued: 2025-10-02

Last updated: 2025-10-02

Purpose Analysis

No purposes defined for this product.

Trust & Safety

Answers to key questions about data usage, privacy, and safety practices.

What can users set preferences on?

No specific answers provided for this question.

Available options (for reference):

To train and improve modelsAny user can opt outOpt out only possible for enterprisesFor research and development

About the Company

This product is offered by DUVO. View their full certificate for complete company information.

DUVO

Enterprise Automation, Artificial Intelligence, Robotic Process Automation (RPA)

Product Focus

DUVO provides an Agentic Process Orchestration (APO) platform that delivers scalable, adaptive, and secure AI-driven automation for enterprises. The platform automates complex business processes, integrates with both modern and legacy systems, keeps humans in control of automation, and helps organizations reduce repetitive work and manual inefficiency.

Target Users

Enterprise business teamsOperations managers

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Shared with another company

Sold to another company

Other appears here if filled

Why do you share collected data with third parties?

Selected practices:

For research and development

To provide the service

Available options (for reference):

No collected data is shared with third partiesTo provide the serviceTo train and improve modelsFor research and developmentFor saleOther

How is customer data used to improve your product?

Selected practices:

Customer data is not used to train our models

Available options (for reference):

Customer data is not used to train our modelsAll customer data is used to train our models We provide a tier where customer data is not used to train our models

How would you currently explain an unexpected or harmful model output?

No specific answers provided for this question.

Available options (for reference):

We log prompts and responses so we can review input vs. outputWe analyze patterns in the model’s responses across similar casesWe apply post-processing rules or filters to detect or block unsafe outputsWe involve a human in the loop for review or escalationWe use structured or templated prompting to reduce unpredictability

Summary

This product has provided answers to 2 out of 4 key trust questions.

Office administrators

Commercial/sales operations

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Certificate issued: 2025-10-02

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