The Importance of Visibility

Leaders want to understand how AI is being used across their organisation, how adoption is evolving over time, and how future decisions can be made with confidence.

They need visibility not only to support governance and responsible AI adoption, but also to understand whether AI is delivering value, where it is being used most effectively, and how usage is changing over time.

For organisations using token-based pricing, this is particularly important. Without visibility, it can be difficult to identify unnecessary or excessive AI usage, sometimes referred to as "token-maxxing", where more AI credits are consumed without delivering additional value.

Without access to meaningful information, answering these questions can be difficult.

So visibility has become a key element of responsible AI frameworks, ethical AI guidelines and wider AI governance principles because organisations need to make decisions based on evidence rather than assumptions.

It also forms a key part of an AI risk management framework by providing greater visibility into how AI is being used across the organisation.

From AI Functionality to AI Transparency

At eCom, we believe organisations should be able to benefit from AI innovation while maintaining transparency, confidence and control.

That's why we've developed a dedicated AI dashboard that provides real-time visibility of AI credit usage.

The dashboard helps organisations stay within budget by providing greater visibility into how AI credits are being used across their learning and assessment environment and how usage is evolving over time.

This simple but powerful insight helps organisations monitor adoption, understand usage patterns, support governance requirements and make more informed decisions about future AI investment.

Supporting Responsible AI Adoption

The dashboard also reflects eCom's wider approach to AI.

We view AI as a supportive capability rather than a replacement for people, expertise or professional judgement.

Across the eNet platform suite, AI is designed to assist users, reduce administrative effort and streamline workflows, while ensuring accountability and decision-making remain firmly in human hands.

This approach is guided by five key principles of AI:

• AI supports people, it does not replace them
• AI is assistive, not autonomous
• Human-led assessment integrity
• Practical value over experimentation
• Transparency is imperative

Together, these principles help ensure organisations can adopt AI with confidence while maintaining the standards, governance and oversight that remain essential in learning and assessment.

AI in Practice

This approach is already supporting organisations operating in regulated, safety-critical and assessment-focused environments.

This includes a national awarding and certification organisation operating within a highly regulated environment, where accountability, consistency and control remain essential. The organisation's experience is explored further in our case study, Supporting Responsible AI Adoption in a Safety-Critical Environment.

However, we believe organisations should always have a choice about when and how AI is used. As our CEO, Wendy Edie, explains:

"Organisations want the flexibility to decide when and where AI is used. So we give clients the option to switch AI off if required. This helps them manage usage in line with their own policies and AI credit limits, keep costs under control, and adopt AI in a way that works for them."

Looking Ahead

The conversation around AI is evolving.

For many organisations, the focus is shifting from simply implementing AI to understanding what responsible adoption looks like in practice.

By combining AI-powered tools such as iQ with clear visibility into AI credit usage, eCom is helping organisations take a more informed and responsible approach to AI, balancing innovation with the transparency, oversight and professional judgement that remain essential to effective learning and assessment.

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Read the full case study: Supporting Responsible AI Adoption in a Safety-Critical Environment.