Artificial Intelligence (AI) is changing the world around us including the work of internal audit. TeamMate offers the resources and tools to harness AI's potential.
TeamMate+ AI Editor
TeamMate+ AI Editor is an embedded GenAI writing engine that enhances documentation quality with context-aware suggestions for clarity, tone, summarization, and translations. It was developed with user safeguards and industry-leading data protection and designed to help streamline the auditor’s documentation process. By leveraging the capabilities of advanced GenAI models to assist in various writing tasks, the TeamMate+ AI Editor can increase productivity while improving the consistency and quality of writing.
- Edit or review – Improves writing by reducing and simplifying language to instantly turn complex subject matter into high-quality output.
- Generate from selection – Summarizes large volumes of text into meaningful abstracts or can expand upon and provide a more complete narrative.
- Change tone – Suggests rewrites of your text in the tone of your choosing including options to make the information more professional, direct, confident, or friendly.
- Translate – Translates content into any of the supported languages (English, Spanish, Portuguese, German, French, Simplified Chinese, Hindi, and Arabic).
Safeguards and security
The work of internal audit often includes review of sensitive data. TeamMate leverages industry-leading practices to provide transparency and security for your organization.
- Safeguards: Designed to prevent inappropriate, inaccurate, or biased responses
- Data Isolation: The TeamMate+ AI Editor does not use the content inputs to further train the model so information remains secure within the audit process and will not be accessible to external parties, nor will it be used for any model improvements.
- No Data Retention: Once the AI Editor provides suggestions or generates text, the data is immediately discarded. User inputs are not retained for future processing.
- End-to-end Encryption: All data transmitted to and from the TeamMate+ AI Editor is encrypted.
- PII Blocker(s): A layer of protection to help identify and mask PII data before it is sent to the AI model.
Trending AI topics for Internal Audit
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TeamMate and IIA joint research
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Internal audit's role in the new European Union’s Artificial Intelligence Act
These reports contains findings from a global research effort between the IIA and TeamMate.
Harnessing Generative AI for internal audit activities
Learn about the adoption of generative AI (GenAI) across sectors and regions.
We’re looking at [AI] as an augmentation to help humans be better, to be more efficient, to be more productive, to be better at things that you do day-to-day.
Global perspectives and insights: Innovation and technology
Learn about the role of Internal Audit in technology assurance, adoption, and challenges around technology-related staffing.
With many companies still grappling with their use of AI and generative AI, internal auditors have an opportunity to drive better oversight of emerging technologies...
Understand the impact of the European Union’s Artificial Intelligence Act and how Internal Audit can play a role supporting their organizations.
The EU AI Act provides a clear definition of what makes up an AI system, encompassing machine learning, logic-based and knowledge-based approaches, and systems capable of inference from data. Internal auditors must ensure that their organizations' AI systems either align directly with or can be mapped to these definitions. Understanding these distinctions is the first step in providing assurance and insights related to compliance.
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Frequently Asked Questions
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What are the top considerations for internal audit to consider when using AI?
Context - AI tools for internal audit should be tailored to specific contexts, ensure clarity, appropriate tone, and have strong data security and privacy measures
Data security - AI tools should take all precautionary measures to ensure proper security measures are being taken.
Audit workflow - AI tools may be employed across the audit process from Planning to Fieldwork to Reporting. As such it is important for internal audit teams to establish clear guidelines and safeguards for use. -
How do auditors integrate AI tools with existing audit systems and workflows?Many generative AI tools have free and public versions available for use. However, Internal Audit should consider whether these tools are appropriate for their use. The TeamMate+ AI Editor is embedded within TeamMate+ for streamlined use in an audit-specific context including safeguards and security.
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What training and skills do audit team members need to effectively use AI technologies?The first consideration is how one will use AI across the audit workflow. Generative AI tools rely on input or prompts from the user to generate responses. Inputting prompts is straightforward, but what many don't realize is the structure of prompts can influence the response. The TeamMate+ AI Editor comes with contextually relevant prompts for use in internal audit to support documentation clarity and consistency.
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What safeguards are in place to ensure the TeamMate+ AI Editor outputs are relevant and appropriate for use?The TeamMate+ AI Editor employs multiple layers of safeguards—often referred to as “guardrails”—to help ensure it produces content that is relevant, accurate, and appropriate.