CACI and AI
Innovation routed in ethics
AI has been an important part of the evolution of CACI. Discover how we have used and continue to use AI to shape our future
Artificial Intelligence (AI) has been part of CACI’s story for years. It has been driving innovation, improving experiences and shaping the way we work since the 1970s and the advent of machine learning. Progress, however, means nothing without responsibility. That’s why we’ve embed ethical principles into every AI decision we make. This ensures transparency, fairness and trust. Our commitment is simple: to use AI in ways that empower our people, clients and the world around us.
What is AI to us?
At CACI, AI isn’t just a technology. It’s a responsibility. For us, AI means creating smarter solutions that empower people, enhancing decision-making and delivering meaningful outcomes for clients. We see AI as a tool to unlock innovation, but always within a framework of trust, transparency and ethics. Every advancement we make is guided by principles that prioritise fairness, accountability and lawful use, ensuring that progress never comes at the expense of integrity. AI is how we shape the future: responsibly with purpose.
Our four categories of AI
Machine learning
Since CACI’s inception, we have used machine learning in algorithm building and insight generation. In the more recent development of AI, deep learning techniques have emerged which allow us to work with unstructured data as well as structured data, and at a far greater scale.
Generative AI and LLMs
CACI uses generative AI & LLMs for summarisation and creation, retrieval and knowledge access, ideation and strategy, personalisation and customer experience and automation and efficiency. Where appropriate, we are building natural language interfaces with our client documentation and guidelines. We are training teams to interpret outputs sensibly, both for our own work and in support of our clients.
Martech tool applications
CACI partners with several platform providers which increasingly use AI decisioning and content generation as part of their omni channel execution. We ensure there is a human in the loop at the appropriate times, testing the boundaries for when these tools will surpass human capability and when humans should provide a more nuanced view.
Agentic AI
Combining the Model Context Protocol and our in-house engineering skills, we are increasingly adopting ways of giving clients access to our products and tools without needing technical or analytical skills to access them via complex interfaces. Our approach is to allow users to ask natural language questions, then have an AI agent identify the appropriate tool.
Our history with AI
AI principles aligned to our values
Clients first
We will use AI in service of our clients – but not to replace human interaction. AI will be a tool of our relationships, not a replacement for them.
Fuelled by talent
We will ensure those using AI are appropriately trained We will ensure project teams adequately represent all aspects of AI deployment: Purpose, Data, Build and Deployment.
Making an impact
We will only use AI where it is proven to add tangible value – either now or in the longer term.
Innovation inspires
We will not undermine the quality of our scientific work or risk our data credibility using AI systems. It is a tool to enhance productivity, inclusion and access to products and services.
Be accountable
We will ensure our project teams are diverse and inclusive and take ownership of the outcome of our use of AI. Models are assessed for bias, and fairness and non-discrimination are a key design and deployment criterion. Governance teams oversee ethical, lawful, and technical assurance.
Do the right thing
We will respect the spirit of the law as well as the letter of the law. We will not knowingly facilitate injustice or exploit vulnerability. We will ensure we can demonstrate explainability and transparency in terms a lay person can understand.
Staying innovative
Innovation drives progress – we don’t just react to change, we create it.
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