Consulting · Governance
AI governance built for regulated environments.
Arcloops builds AI governance frameworks specific to your regulatory environment — not imported wholesale from international templates that ignore Bangladesh's regulatory reality.
Generic frameworks miss Bangladesh regulation
Regulated industries in Bangladesh — banking, insurance, healthcare, and government-adjacent bodies — face AI governance requirements that generic international templates do not address. Bangladesh Bank guidance on model risk, BSEC expectations around algorithmic decisions, and data protection considerations for sensitive sectors create a local compliance surface that a copy-paste EU AI Act checklist will not cover.
Without a governance system designed for that reality, organisations either freeze adoption out of fear or deploy AI with no inventory, no risk ownership, and no audit trail. Both outcomes are expensive: stalled programmes on one side, regulatory and operational exposure on the other. Shadow tools and spreadsheet models often sit outside IT's view entirely — until something breaks.
Governance that works here maps your actual AI footprint, assigns risk ownership, and aligns controls to Bangladesh Bank, BSEC, and sector guidance — so production AI can move with accountability, not theatre. International references such as ISO 42001 can sit alongside local mapping when parents or clients expect them.
What the engagement includes
01
AI risk register
Inventory of all AI systems in use across the organisation; risk classification by decision type, data used, and regulatory exposure; residual risk after controls; and risk ownership with a review schedule.
Deliverable: AI Risk Register
2–3 weeks
02
Model risk management framework
Model validation requirements by risk tier; documentation standards for AI models affecting decisions; performance monitoring (accuracy drift, bias monitoring); and model retirement and replacement processes — aligned to expectations familiar to Bangladesh Bank–supervised institutions.
Deliverable: Model Risk Management (MRM) Framework
2–4 weeks
03
AI governance committee structure
Terms of reference for AI oversight at board and management level; escalation paths for high-risk AI decisions; reporting from operational teams to governance; and external audit readiness documentation.
Deliverable: Committee terms of reference and escalation map
1–2 weeks
04
Regulatory alignment
Compliance mapping to Bangladesh Bank AI and model risk guidance, BSEC requirements for algorithmic decision-making, ICT Division AI guidelines, and international references (such as ISO 42001) where your clients or parent group expect them.
Deliverable: Regulatory alignment matrix
1–2 weeks
Who it's for
- Banks, NBFIs, and insurers under Bangladesh Bank or BSEC oversight that need model and algorithmic controls they can defend.
- Healthcare and government-adjacent organisations handling sensitive data and automated decisions.
- Risk, compliance, and internal audit teams building first-time AI controls without freezing the business.
- Enterprises with international parents that need local governance plus global standards reference — without importing a framework that ignores Dhaka reality.
Governance FAQ
We use international references when your board or parent expects them — but we map controls to Bangladesh Bank, BSEC, and sector reality first. Copy-pasting an EU checklist without local mapping is how governance theatre starts.
That is common. The engagement starts with an inventory of systems and shadow tools, then risk classification. You cannot govern what you have not listed.
Good governance speeds safe production use by clarifying what can ship under which controls. We design risk tiers so low-risk experiments are not treated like credit-decision models.
Yes. Deliverables include registers, ownership, monitoring expectations, and documentation standards auditors can follow. Exact evidence packs depend on your regulator and auditor.
Banks and insurers are a core audience, but healthcare, government-adjacent, and other regulated environments use the same pattern — adapted to their data and decision types.
Build your AI governance framework
Start with a conversation — we will tell you honestly whether this engagement is the right next step.