The Flow7 AI Project Framework
Adapts the same methodology as the Flow7 Migration System
A Simple Planning and Building Framework For AI Agent & Data Projects
Ideal For Business Managers Looking To Plan, Sort Data and Action An AI Build Solution
Establish a Base Plan or Checklist to Work From.
Before you STARTan AI project make sure to create and use a base project plan. The Flow7 AI Framework system gives you a head start with a plan to follow and adapt to your AI project needs.
What Will Feed Your AI? What knowledge and data will power your AI system?
Once you have an created your AI Project Plan and Checklist - The first tasks are to understand where your data is coming from and what that data WILL be used for i.e. what AI function it will need to process data. Then you can move onto assessing that data to ensure that it will provide the correct information and output for its function.
How good is your system (s)data that will feed the AI? How will you ensure your AI is safe, accurate, and compliant?
Now you have an idea of your AI Data Sources , make sure you have them backed up and recoverable* you need to know the quality of the data you are going to have to use to Feed Your AI. Is data missing, does it have errors, are there compliance requirements.
How much data needs to flow through the process from the master data set?
Do you have defined processes or data governance to consider in relation to the data and its usage?
AI Data Master - Pulling together the data for what your AI will actually do and how will it behave?
You have investigated your AI data sources with a view to the function the AI needs to action and you also have an idea of any data quality or compliance issues. Now in your project plan its time to pull together and define your AI source data master set and potentially a rough demo. This master set becomes your crucial "one version of the truth" for your data feeding into the AI systems and must be "change controlled" ! No amendments or additions without being requested to the nominated contact.
Where Will AI Output Be Consumed? Where and how will people interact with your AI?
The whole point of your AI project is to plan how end users interact with the AI and how and what data is used. The flow of data is from the source (input) system(s) to the AI front end (target output system ), and any Prompt processing from the AI model in-between and back and forth, while making sure the data is processed for the specific AI purposes ( and /or business processes).
Clearly you need to know what you are passing the data through, what data goes into the AI model and how it is stored, processed and encrypted .
Building & Mapping Flows, Tools and Automations. How will information and tasks flow through your AI system?
Now is the physical build of your AI agent or automation. This process involves mapping the flow of data between the sources and the final AI Front End and building out the workflows and all the other elements that are required for a functioning AI agent or chat bot.
How will you ensure your AI works correctly before launch?
Now understand your AI layout with inputs both Source and outputs to Target AI front end(s), you have a mapped, created flows and cleaned the data set and now it needs properly Testing to ensure you have a smooth AI Agent Roll Out and to determine the Migration Go Live Plan when you set the Agent functioning. .
For each business/ agent process identified in the Target Step, a UAT Testing Document should be created and recorded in a global list to track the progress.
