Consulting · Policy
An AI policy does not mean restricting AI use. It means creating the conditions for safe, productive, and compliant AI use — which accelerates adoption rather than limiting it.
Bangladesh's enterprises are already using AI — even if leadership does not know the full extent. ChatGPT, Copilot, Gemini, and dozens of other tools are being used by employees to draft documents, analyse data, and communicate with clients. This is happening with or without formal permission.
Without a policy, the organisation carries risks it has not assessed: data leakage into consumer tools, regulatory non-compliance, inconsistent quality of AI-assisted work, and reputational exposure when something goes wrong. Banning tools without a usable alternative simply pushes usage further underground — and leaves managers without a shared language for what is allowed.
A clear policy — acceptable use, data rules, oversight, and ethics — gives people permission to work with AI safely. Written in plain language, owned by named roles, and rolled out with communication and review cadence, that is how adoption accelerates instead of stalling in fear or chaos. Shelfware that nobody can apply is not a policy; it is a liability.
Which AI tools are approved for which purposes; what data can be input to external AI systems; what outputs require human review before use; and consequences for policy violation — written in plain language staff can follow.
Classification of data by AI-appropriateness; controls for confidential, client, and regulatory data; retention requirements for AI-generated content; and third-party AI vendor data processing standards.
Requirements for AI systems that make or assist decisions; human-in-the-loop requirements by decision type; monitoring and accuracy expectations for deployed AI; and escalation paths when outputs are uncertain.
Bias and fairness commitments for AI-assisted decisions; transparency requirements for AI use in client interactions; and an accountability framework for AI-related incidents.
Policy implementation plan, staff communication templates, and a quarterly review process so the policy stays current as tools and regulations change — not a document that sits unread after launch.
Enterprises where employees are already using consumer AI tools without formal guidance — and leadership wants clarity without a blanket ban.
Compliance, legal, and IT leaders who need usable policy staff can follow — not shelfware written for auditors alone.
Organisations preparing for regulated AI use in banking, healthcare, or government-adjacent work.
Leadership teams that want to accelerate adoption without accepting unmanaged data or reputational risk.
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