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Consulting · Policy

Use AI with confidence. That requires a 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.

Shadow AI is already here

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.

What the engagement includes

  1. 01

    Acceptable use policy

    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.

    Deliverable: AI Acceptable Use Policy (staff-facing)

    1–2 weeks

  2. 02

    Data governance for AI

    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.

    Deliverable: AI Data Governance Policy (IT and compliance facing)

    1–2 weeks

  3. 03

    Model oversight framework

    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.

    Deliverable: AI Oversight Framework (management facing)

    1–2 weeks

  4. 04

    AI ethics principles

    Bias and fairness commitments for AI-assisted decisions; transparency requirements for AI use in client interactions; and an accountability framework for AI-related incidents.

    Deliverable: AI Ethics Principles (board and staff facing)

    1 week

  5. 05

    Implementation and rollout

    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.

    Deliverable: Implementation plan, communication templates, and review schedule

    1–2 weeks

Who it's for

  • 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.

Policy FAQ

Not by default. Most enterprises need clearer rules for approved tools, data classes, and human review — not a blanket ban that pushes usage underground. If a ban is the right control for a specific risk tier, we write that clearly and say why.

Yes. We draft usable policy your teams can follow; your legal and compliance owners still approve it for your regulatory context. We structure the work so that review is focused, not a rewrite from scratch.

Yes. Staff-facing acceptable-use language can be delivered in English, Bangla, or both. Technical and compliance annexes can stay in English when that is how your governance teams work.

Rollout is part of the engagement: communication templates, named owners, and a quarterly review cadence. A policy without implementation planning is incomplete — we do not hand over a PDF and walk away.

Fixed-price quotes based on scope — number of documents, languages, and whether rollout support is included. Contact us and we respond with a quote within two business days.

Start building your AI policy

Start with a conversation — we will tell you honestly whether this engagement is the right next step.