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Cognida acquires Automate to expand enterprise AI automation across finance and operations.

Research and frameworks from inside the work

Long-form thinking on what it actually takes to get enterprise AI into production written by the team doing the deployments, not marketing.

Flagship report

The closed loop: why most enterprise AI never reaches production

A breakdown of the discipline gap between AI labs and enterprises, and the operating model, FDE+, that Cognida uses to close it. Drawn from engagements across financial services, healthcare, and industrial clients.

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All papers

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Governing agentic AI: a framework for enterprise risk teams

How to build monitoring, audit trails, and rollback controls into agent-based systems before they touch production data.

Agentic AI

Data Governance

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AI ethics in practice: balancing innovation and responsibility

Explore actionable strategies for integrating ethical considerations into AI development lifecycles across enterprises.

Agentic AI

Pages

Scaling machine learning: infrastructure and operational best practices

A comprehensive guide to building scalable ML pipelines and operationalizing models at enterprise scale.

Machine Learning

AI Strategy

Pages

Data privacy in ai-powered applications

Techniques and frameworks to ensure compliance with data privacy laws in AI product deployments.

Data Governance

Machine Learning

Pages

Human-centered AI design: enhancing user experience

Design principles and case studies that prioritize user trust and usability in AI interfaces.

AI Strategy

Machine Learning

Pages

AI governance models for regulated industries

Frameworks tailored for healthcare, finance, and other regulated sectors to manage AI risk effectively.

Agentic AI

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Thoughts

Research and frameworks from inside the work

The closed loop: why most enterprise AI never reaches production

Topics

Governing agentic AI: a framework for enterprise risk teams

AI ethics in practice: balancing innovation and responsibility

Scaling machine learning: infrastructure and operational best practices

Data privacy in ai-powered applications

Human-centered AI design: enhancing user experience

AI governance models for regulated industries

Get new research before it's public.

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