AI-DRIVEN COMPLIANCE SELF-ASSESSMENT FOR BENCHMARKING AND CHANGE
Imagine you oversee a key control function of a large multinational organisation. You have been in the role for several years operating an effective programme and there have been no major enforcement actions or other negative material events taking place on your watch. While you are always looking for opportunities to improve, it is a resourced-constrained environment and there simply is no impetus nor priority to engage an outside consultant to conduct a maturity assessment. Not only are such engagements costly – typically running into six figures – they are also a drain on scarce resources and internal subject matter experts due to the time and attention required to conduct such a review. What can you do?
Certainly, you can engage your external network to conduct potential benchmarking opportunities. These can be useful but obviously limited and individual in nature as opposed to the broader assessment conducted by an external consultant. The rise of effective enterprise artificial intelligence (AI) has transformed this situation. Your internal AI tools can be deployed to provide a maturity assessment and internally disrupt existing processes.
Internal maturity assessments – using AI to self-disrupt
In most organisations, unless you are coming into role or the corporation is emerging from a regulatory enforcement action, it is challenging to get the organisational alignment needed to fund and resource an external consultant-led maturity assessment. Such assessments are not only costly, but time intensive. External consultants require a request for proposal, an engagement letter potentially under privilege and, once fully onboarded, consultation periods with key internal stakeholders.
Jul-Sep 2026 Issue
American Express Global Business Travel