The hype around the rise of generative AI technologies makes huge promises about the potential of the technology. Yet it would be fair to say the majority of organisations are only experimenting with the technology or using it in isolated use cases.
1. Crafting a Generative AI strategy
Setting the framework for Generative AI
A robust Generative AI strategy is comprised of:
- The performance measures of employees within the organisation
- Identifying use cases to enable the organisations goals and improve the performance metrics of employees
- Identifying the right technologies to address the use cases
- Preparing a roll-out program with tech support, change and communications
2. Building a convincing business case
Generative AI involves significant investment of time, resource, and capital. Hence, it's essential to build a compelling business case that highlights the potential benefits and returns on investment. A well-structured business case will secure buy-in from the leadership team to get a program up and running.
Quantifying the benefits of Generative AI
Generative AI is focused on creative tasks most frequently completed by domains such as product design, customer service, sales and marketing. When building your business case, identify specific use cases where generative AI can deliver substantial value. A simple way to do this is to identify the relevant processes suitable for automation, the steps within the process which can be automated and quantify the value of the possible automation.
3. Choosing the right technology
The choice of technology is crucial in the adoption of generative AI. Businesses should consider fundamental factors like ease of integration, scalability, security, and compliance with regulations. However, specific to generative AI there are also extra concerns such as the technology's ability to handle enterprise-specific data securely, or a decision between a prebuilt product such as Jasper, a solution native to a business application or a completely bespoke solution.
There’s a valid assumption that the use of raw ChatGPT is not a good solution, both on the individual level and to scale across an organisation.
- Jasper, Writesonic and other generative AI assistants offer a multitude of templates to use generative AI to write an email, research and write a blog or many other common tasks employees complete. These tools require minimal technical foundation and come at a relatively low cost.
- Bespoke applications of generative AI can be produced for an organisation for purposes such as AI-augmented chatbots, querying massive knowledge bases and more. For example, using Azure OpenAI you can develop a solution built specifically for your business accelerated by OpenAI’s models. These tools can be highly tuned to the requirements of your organisation but are intensive in terms of the investment of time and money required to build and maintain them.
4. Rolling out the technology incrementally
Implementing generative AI is a complex process that involves significant changes to business processes and workflows. A gradual, phased rollout can help manage this complexity and minimise concurrent support requirements. It allows businesses to test the technology in a controlled environment, gather feedback, and make necessary adjustments before wider deployment.
Common approaches to technology adoption will work here. For example, if you select an off the shelf tool, start with a small group of tech-savvy employees to implement proof of concepts, and to act as champions for the rest of the organisation. When scaling your roll out, you will likely look to segment groups of users into manageable groups. This ensures you have the appropriate support capacity to deliver customised training, responsive tech support and more.
5. Driving adoption through Change Management
Rather than provide a change management 101 here are some of the core things I always think about to drive adoption of technology solutions:
- Differentiated learning and development
- Full documentation and training material
- Ongoing and iterative support, both technical and user focused
- Employee reward
- Visible leadership buy in
The successful adoption of generative AI across an organisation is more complex than the simplicity of the tools would suggest. Organisations won't succeed relying on ChatGPT alone and require a well-planned strategy and implementation roadmap to be successful.