AI exploration

Define requirements, target solutions, and identify discrete use cases outlining how AI could be applied to achieve a mission or business need.

AI strategy & governance

Form a demand-driven strategy factoring the capabilities necessary to implement AI technology responsibly, securely, and consistently across the enterprise through plans, policies, procedures, and program alignment.

Data readiness

Provide the foundation for accurate and impactful AI solutions using high-quality, accessible, and labeled data understood and trusted across the enterprise.

AI infrastructure & platforms

Implement a scalable architecture with the platform and tools needed to provide the speed, capacity, and processing power you need to sustain AI-enabled solutions.

AI application & solutions

Implement AI software, models, and products across the organization to modernize, improve performance, reduce total cost of ownership, and accelerate decision-making and workflows for mission-critical challenges.

AI enabled workforce

Prepare the workforce to integrate AI into their operational processes and determine the talent and skills they need to provide AI oversight and use it responsibly.

AI delivery & operations

Scale and maintain AI solutions and processes reliably and efficiently in production.

AI sourcing management

Develop a sourcing strategy for effective procurement, oversight, and management of vendor-provided AI solutions and services to meet their outcomes and advance your mission, operations, and technology objectives.

Trustworthiness, security, & risk

Mitigate risks and comply with AI regulations to create trust and confidence in the technology, while maintaining cybersecurity, the protection of information, and the ethical use of data.

Customer & user experience

Drive a human-centered AI experience and improve the adoption and value of AI solutions with human-centered design and UI/UX techniques.