Bangladesh, AI, and Climate Rules Push Evidence Into the Operating Model
Regulators are turning control testing into an always-on operating requirement, forcing accounting teams to produce auditable evidence across banking, AI, and climate compliance.
What is this trend?
Accounting and assurance teams are being pushed to build continuous, system-generated evidence into controls as regulators tighten oversight of banks, AI, and climate reporting.
- Control testing is shifting from periodic review to year-round evidence collection.
- Bangladesh Bank’s ICMS overhaul makes internal control a formal operating discipline.
- AI and climate rules are adding audit, labeling, and data-governance obligations.
- Auditable analytics, virtual audits, and remediation tracking are becoming core skills.
What’s the latest?
Bangladesh Bank’s ICMS overhaul is the clearest sign yet that control testing is becoming an operating discipline, not a periodic review.
How it developed
Go deeper
Curated long-form picks on this trend — podcasts, videos, and analysis, by seniority.
If you're an individual contributor
Why AI Governance Keeps Failing Your Organisation - And What Actually Fixes It | The AI Journal
News analysis on AI governance gaps—shifting from periodic reviews to continuous automated evidence in pipelines.
The AI Journal · News
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DevOps.com analysis on continuous AI assurance—testing, monitoring, governance, and CI/CD for safe AI shipping.
DevOps.com · News
Read →Evaluations, Guardrails, and Governance Are Different Things
News analysis on separating evaluations, guardrails, and governance—mapping continuous evidence to actions.
Khaled Zaky · News
Read →If you manage a team
Moving From Defensive Compliance to Strategic Sustainability Management
How-to walkthrough on using AI to map Bangladesh-style climate rules into evidence workflows over 36 months.
Workiva · YouTube
If you lead the organization
How to Implement ISO 42001 with AI Governance Tools
How-to news guide on implementing ISO 42001 with AI governance tools for continuous, evidence-based risk management.
WitnessAI · News
Read →AI-Generated Insights Need Traceable Evidence To Earn Trust, New Research Warns - Brand Spur
News analysis on AI insights needing traceable “chain of custody” evidence for continuous assurance.
Brand Spur · News
Read →Regulators Don’t Want an AI Policy. They Want Receipts.
News analysis on regulators demanding continuous AI “receipts” for insurance claims—traceability beyond periodic reviews.
Coverager · News
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