If you are a technology leader in one of the following situations:
Our Head of Strategy and Engineering work closely with you to understand your business needs, and goals as well as assessing your current data to determine its readiness for AI. We also assess your existing capabilities, including your team’s awareness and the readiness of your existing technology and strategy.
The scope and assessment results in a report outlining a roadmap for your AI journey. You can then choose which projects to proceed with – either implementing internally if you have the capability, or by using our specialists.
Our Head of Strategy runs a workshop with you where we’ll provide an overview of AI and its potential applications for your business. The workshop includes:
– Understand your business needs, challenges and context
– Uncover blockers & challenge assumptions to
– Focus on value and measurable metrics
Our Head of Engineering will conduct a thorough assessment of your data to determine its quality and suitability for AI. This includes:
– Data cleaning & organisation
– How to structure your data to ensure it’s ready for AI
– A review of multiple types of data sets (CRM / CMS / Web Server or on-premises databases)
We work with you to determine your existing capabilities – your team’s AI awareness, the readiness of your existing technology, and your existing strategy, including:
– Helping educate your internal stakeholders & executives for alignment
– Assessing your internal skill sets in product and management
– Reviewing technical capability and AI competency
We produce a comprehensive report including a prioritised list (based on anticipated return on investment) of:
– AI Projects
– Non-AI Projects
– A pilot project with specific goals to be achieved within three months
You can then decide which projects you’d like to proceed with, and whether to have your internal team, or our team deliver these projects.
We will implement a functional prototype which will demonstrate a possible solution to one of the challenges identified in this project.
This may be implemented via a combination of no-code technology and off-the-shelf systems.
It is the process of preparing your data and processes for use in AI applications, by ensuring your data is clean, accurate, complete and appropriately structured.
AI systems rely on the quality and volume of the data they use. Poor data can lead to relaying the wrong information, as well as bias and other issues that undermine the accuracy or trustworthiness of AI.
We can assess all of your data or specific subsets of your data. We can also assess your internal processes as well as people to determine your whole business’s readiness for AI.
AI readiness aims to mitigate risks by providing your business with access to high-quality data that is important when building and training AI solutions, to ensure your solution provides the most accurate recommendations, insights and responses.
Limitations can include a lack of data and data quality, lack of talent, and insufficient resources.
As part of our AI readiness service, we can assess your people and processes and provide recommendations on next steps. This may include training and development programs to upskill your team, hiring experienced AI experts or partnering with companies to provide insights.