Check out our latest series, Hidden Layers, as we explore the people and technology behind AI

Operations

Supercharge your AI Engine

Whether you’re building everything in-house or choosing the right partners, we can help maximize your AI capabilities.

Getting to the next level

AI Operations takes your company beyond deploying models and MLOps and begins to transform your organization around AI, ensuring your investment is optimized and your capabilities are maximized.

Our team works across your organization, considering your people, processes, and technology, to integrate and further your AI.

Some Austin members of the KUNGFU AI team

People

Any successful AI solution begins and ends with ensuring your team is on board and understands AI’s impact and potential. We can help facilitate that.

User Adoption

Maximizing the value humans derive from AI products, tools

Culture Change

Pivoting the organizational ethos to innovate in AI

Change Management

Reducing the frictions associated with advancing AI

Fractional Leadership

Supporting your team with expert leadership

Executive Facilitation

Advising leaders on specific challenges and opportunities

Capability Building

Partnering, growing, or acquiring your AI capability

Process

Building successful and effective processes around your AI will ensure your investment is optimized. We can help you build that.

Process Design

Crafting and implementing processes to align MLOps to AI strategy

MLOps

Monitoring, maintaining, and incrementally improving models in production

Ethical Governance

Instilling policies and practices for the ethical oversight of AI operations

Process Automation

Automating processes to optimize and streamline operations

Strategic Alignment

Coalescing and messaging leadership support for AI integration

Technology

Maintaining and advancing cutting-edge AI requires a strong technical foundation and data system. We can help you develop that.

Data Governance

Instilling policies and practices for the management of your data

Tooling

Identifying open-source tooling to expedite solution building

Data Architecture

Enabling easier access and better performance with structured and unstructured data storage

Data Engineering

Restructuring and cleaning up data to be more easily used for machine learning

Managed Services

Ongoing support and maintenance for solutions we deliver

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