Innovation at CACI
Shaping the future, together
Innovation that moves us forward
At CACI, innovation is a core value and we are committed to humanising data and AI to help clients build for tomorrow. Our organisation has long been at the forefront of digital innovation – developing market-leading data products and digital experiences underpinned by intelligent systems.
Innovation is everyone’s responsibility – whether it is design, engineering, cloud solutions, building AI architecture, reimagining retail, leading transformation, or shaping a customer service strategy. It’s not just about big ideas; it’s the everyday improvements and smart thinking that keep us progressing and shaping the future.
See us in action
Driving performance through the Centre Growth Model
CACI has long advised its retail property clients on strategies to grow sales and footfall at their assets. The Centre Growth Model combines CACI, client and third-party datasets to give clients a clear direction on how, where and who to grow sales from across their customer base.
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Using the Bedrock Agent to respond to customer queries
CACI has multiple software products and most of these products have their help pages. These help pages are hosted in different environments using different formats. When customers have any questions related to the products or how to do things, they go to these sites/documents, browse through the pages and finally find the answer.
CACI team has developed a method using Amazon Bedrock Agent to respond to customer queries.
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Providing a Digital Twin concept
While improving your operations is essential to moving your organisation forward, associated risks can make it hard to take the leap. The ability to model changes and predict the impact of any decisions provides substantial advantages.
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Using the H3 geospatial tiling system to improve spatial resolution of demographic data
A method has been established by CACI that uses a hexagonal tiling system to disaggregate demographic and other population-based data down to small scale to enable more accurate and precise location modelling and forecasting, particularly in countries where such data is only available at a high geographic level.
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How CACI updated the Ocean consumer lifestyle database using AI techniques
CACI’s Ocean database contains variables relating to consumer attitudes and behaviours of the UK population at individual and household level.
Whilst already providing a market leading solution, a major update gave CACI the opportunity to rebuild many of the associated predictive models using AI techniques to even further improve the modelling, and to make predictions more balanced and “fair” across demographic subgroups such as sex and age groups.
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International Tourist Model
Third party mobile geolocation data can accurately track where domestic visitors live and shopping behaviours, however low sample rates mean it is less reliable in understanding the movement of international visitors.
The International Tourist Model has been developed to address the inherent limitations of mobile geolocation data in accurately capturing the proportion of international tourist visits to specific locations. By integrating VisitBritain data with CACI’s Local Footprint dataset, this model offers a comprehensive and robust solution.
Our approach to innovation
At CACI, we use AI to amplify human capability — always secure, always ethical, and always focused on real-world impact.
Innovation is intentional and embedded in everything we do. With the rise of generative AI and large language models (LLMs), we have continued to evolve our capabilities and client offerings to ensure we remain a trusted partner for emerging AI use cases. We focus on what matters most: delivering measurable change for our clients.
CACI’s 4 step process
- Ideate – Encourage creativity across teams
- Develop – Shape ideas into actionable plans
- Deliver – Execute with precision
- Adopt – Drive real-world results
Innovation track record
With our strong heritage in data science, using advanced analytics and AI, we have expanded our expertise to support modern use cases, from biometric recognition to real-time decisioning and conversational agents. Today, we are actively researching and applying generative AI, agentic systems, GEO (Generative Engine Optimisation), AI Chatbots (launching client facing products) and multimodal models to power the next generation of data and digital services.
Partner empowered innovation
We work with best-in-class vendors including AWS Bedrock, Microsoft Azure, and OpenAI. Our engineering teams leverage frameworks like Model Context Protocol (MCP) to connect LLMs with external services and data, enabling richer, more contextual outputs. This architecture allows us to orchestrate composable, AI-powered services that are scalable, ethical, and governed by human-in-the-loop oversight. We also leverage AI to run QA on more advanced generative content that is produced at scale.
