Global Community

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?

Definitely not an expert! But we use AI a lot right now - we're preparing for an AS9100 certification audit. We've been using it to create documentation - it speeds up our process quite a bit to edit something that already exists than to start from scratch. I'll also use it for some corrective actions if I feel like I don't have the right perspective on something and need to see another angle. 

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?

I also use AI when I want to brainstorm some phraseology that can be more accurate, and more formal too.

Definitely not an expert! But we use AI a lot right now - we're preparing for an AS9100 certification audit. We've been using it to create documentation - it speeds up our process quite a bit to edit something that already exists than to start from scratch. I'll also use it for some corrective actions if I feel like I don't have the right perspective on something and need to see another angle. 

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?

Definitely not an expert! But we use AI a lot right now - we're preparing for an AS9100 certification audit. We've been using it to create documentation - it speeds up our process quite a bit to edit something that already exists than to start from scratch. I'll also use it for some corrective actions if I feel like I don't have the right perspective on something and need to see another angle. 

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?

Definitely not an expert! But we use AI a lot right now - we're preparing for an AS9100 certification audit. We've been using it to create documentation - it speeds up our process quite a bit to edit something that already exists than to start from scratch. I'll also use it for some corrective actions if I feel like I don't have the right perspective on something and need to see another angle. 

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?

Using AI should not avoid the approval process of management system documents and the control of outputs of  MS processes or operations. Thanks!

Definitely not an expert! But we use AI a lot right now - we're preparing for an AS9100 certification audit. We've been using it to create documentation - it speeds up our process quite a bit to edit something that already exists than to start from scratch. I'll also use it for some corrective actions if I feel like I don't have the right perspective on something and need to see another angle. 

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?

As an executive working across compliance, audit readiness, and document modernisation, I've found that generative AI tools like Microsoft Copilot can significantly accelerate workflows, but only when paired with rigorous human oversight.

One practical example is how I've used Copilot within Microsoft 365 Notebooks to assist with audit reporting. During audits, I capture raw notes, often fragmented observations, clause references, and findings (and mostly in my messy handwriting 😂). Copilot helps transform these into structured sentences aligned with the relevant ISO 9001:2015, ISO 14001:2015, or ISO 45001:2018 clauses. It can even suggest potential correlations between findings and standard requirements, which is invaluable when preparing integrated audit reports.

However, speed must never compromise quality. Copilot's outputs are drafts only. Every sentence, clause reference, and interpretation must be validated by a qualified human.

To strike the right balance (suggestions only):

• Use AI for first-pass drafting, especially when dealing with repetitive or templated content.
• Build structured workflows (e.g., Power Automate flows) that guide AI use within defined boundaries.
• Maintain a human-in-the-loop review process to ensure compliance, correctness, and contextual relevance.
• Log all AI-assisted changes for audit trail purposes; this is especially critical in document modernisation initiatives.

Generative AI is a powerful accelerator, but quality assurance remains a human responsibility.

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?

That's an excellent perspective, and I completely agree with your emphasis on pairing AI acceleration with human oversight.

As an executive working across compliance, audit readiness, and document modernisation, I've found that generative AI tools like Microsoft Copilot can significantly accelerate workflows, but only when paired with rigorous human oversight.

One practical example is how I've used Copilot within Microsoft 365 Notebooks to assist with audit reporting. During audits, I capture raw notes, often fragmented observations, clause references, and findings (and mostly in my messy handwriting 😂). Copilot helps transform these into structured sentences aligned with the relevant ISO 9001:2015, ISO 14001:2015, or ISO 45001:2018 clauses. It can even suggest potential correlations between findings and standard requirements, which is invaluable when preparing integrated audit reports.

However, speed must never compromise quality. Copilot's outputs are drafts only. Every sentence, clause reference, and interpretation must be validated by a qualified human.

To strike the right balance (suggestions only):

• Use AI for first-pass drafting, especially when dealing with repetitive or templated content.
• Build structured workflows (e.g., Power Automate flows) that guide AI use within defined boundaries.
• Maintain a human-in-the-loop review process to ensure compliance, correctness, and contextual relevance.
• Log all AI-assisted changes for audit trail purposes; this is especially critical in document modernisation initiatives.

Generative AI is a powerful accelerator, but quality assurance remains a human responsibility.

For AI experts: How can teams strike the right balance between speed and quality when working with generative AI tools?