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AI Strategy & Governance

Everyone is using AI tools now, including staff at organisations which may or may not have formally adopted them. The question isn’t whether AI can help – it clearly can. The real question is whether that organisation has thought through what happens after – what data is going in, who else can see it, where the data is stored, and what your clients would agree to and be comfortable with.

Strategy covers the practical implementation of AI to solve genuine problems, and governance defines the rules around how an organisation uses this technology safely and effectively.

What This Covers

Start With the Problem, Not the Tool

Technology adopted without a clear problem to solve tends to get used inconsistently and deliver inconsistent results. We always start conversations with the same question – “what are you trying to achieve?” From there, the right tool, configuration and workflow follow.

Vendor-Neutral Tool Selection

The number of AI tools and platforms is overwhelming and growing quickly. We aren’t bound by vendor arrangements, so recommendations are based on what suits your organisation’s specific needs, security requirements and scale.

Configuring AI With Organisational Context

Generic AI output sounds generic because it starts every conversation from zero. To get the best outcomes, AI tools need to be set up with your organisation’s context – terminology, standards, tone, reference material and branding. Doing this well means AI-generated output looks and sounds like your organisation.

Data and Privacy Questions

AI models are based on data, and people are becoming more aware of where their data is saved and how it is used. It matters to know what data you’re providing, where it’s stored and how it’s used. It also matters whether your privacy obligations and policies cover this use. All AI platforms provide lengthy terms and conditions and privacy policies most people don’t read.

Appropriate Use Guidelines

A short, practical AI Policy that answers a small number of specific questions properly is enough. It outlines what staff can use AI tools for and what’s off-limits.

Incident Response

What happens if something goes wrong – if confidential information ends up somewhere it shouldn’t, or a decision gets made based on AI output nobody checked. Having a process for this before it’s needed is just as important as responding well after an incident occurs.

Board and Leadership Reporting

Making sure leadership has visibility into how AI is being used across the organisation.

Proven Approach

We’re currently working with a couple of small and medium organisations on implementing a sound AI policy and implementing AI tools inside their workflows, as well as advising on governance and policy at board level. This is a relatively new offering for ENVEE Digital, and we intend to provide a relevant Case Study when this work is completed.

Who This Suits

This service is aimed at helping organisations where staff have started using AI tools, formally or otherwise, and leadership wants to start a conversation about what that means. It also suits organisations wanting to adopt AI deliberately, with the right configuration and governance in place from the start.

This service is typically delivered through an Advisory engagement for governance and policy work, or a Consulting engagement where hands-on implementation is the priority.