Explore Foxtrot insights on Palantir Foundry, AI strategy, operational data systems, and enterprise-scale implementation. Our blog is built for leaders, operators, and transformation teams who need more than theory. From escaping AI pilot purgatory to scaling production-ready workflows, improving decision intelligence, modernizing supply chains, and applying human-in-the-loop safeguards, these articles share practical perspectives from builders who have worked inside complex enterprise environments.
AI-generated content may look polished, but unchecked claims and unsupported recommendations can quietly undermine enterprise data quality. Discover how workslop spreads through AI assistants and agents, why it threatens decision-grade AI, and how organizations can protect their knowledge with stronger source controls, accountability, and human review.
Real control means institutional sovereignty: keeping the context, workflows and governance that make your AI valuable, even when the technology underneath it changes.
In Episode 3 of The Fox Den, Foxtrot VP of Commercial Delivery Jerry Moore joins the team to explore how Palantir Foundry is changing the way enterprises approach digital transformation. Drawing on experience across large, highly regulated organizations, they discuss Ontology, connected enterprise systems, agile delivery, and why the best AI implementations start by understanding the real business problem. They also share how Foxtrot’s Forward Deployed Engineers embed with clients to build solutions designed to create lasting operational value.
Foxtrot Services co-founders and co-CEOs Nicole Sanders and Christine Williams join Health Impact Live's Digital Health Talks to discuss what healthcare organizations need to move AI from experimentation into secure, governed and scalable production environments.
Your compute costs can tell you a lot about the system behind it. As AI adoption grows, compute costs can rise for very different reasons. Learn how to trace spend back to workflows and improve AI economics at scale.
Foxtrot to lead implementation as OPT builds the digital infrastructure for a more connected, scalable operating model
Peter Vigneux and Zach Carper discuss Palantir with Kevin Keane. Kevin discusses the Palantir Foundry learning curve. They discuss AIFD, AI assisted forward deployed engineer to assist development and reduce deployments from months to weeks or to assist in quality assurance of existing work.
Peter Vigneux and Zach Carper discussing an under the hood look at who Palantir is.
The agentic enterprise represents the next phase of AI adoption, where governed agents move beyond assisting employees to executing real business workflows within defined controls. Reliable enterprise agents require structured operational data, clear business context, explicit permissions, and measurable governance rather than model deployment alone. Organizations should begin with a small number of high-value workflows, deploy agents in an assistive role, and expand autonomy only as performance, trust, and oversight mature.
Build the factories, reshore the supply chains, pass the right policies, and the whole thing still stalls if the operating layer underneath can't carry the weight. A few notes from inside the work.
Palantir Foundry is built to keep expanding what's possible. The organizations that capture the most value from it think about operating with the same rigor they brought to building.
In the high-stakes world of enterprise data, a 99% success rate sounds impressive. But in the context of redaction, that margin of error is a catastrophe. As data volumes explode, Legal and Compliance leaders are rushing to adopt AI redaction software to keep up. But they are rightfully asking: Is it safe?
As we head into year three, we wanted to share what this team, and our customers, have made possible, and where we’re headed next.
The enterprise world has reached an inflection point. Over 73% of organizations are now using or piloting AI in core functions. Budgets are flowing. Expectations are sky-high. And yet, a sobering reality has emerged from the trenches.
At Foxtrot, we believe the era of passive dashboards has ended. What comes next is the Executive Control Tower.
This week, I read about the NVIDIA-Palantir partnership–one that signals a pivotal step toward realizing operational AI at scale. By integrating NVIDIA’s accelerated computing, CUDA-X libraries, and Nemotron models into Palantir’s Ontology and AI Platform (AIP), the partnership supports the creation of a unified stack for enterprise intelligence that connects data, decision-making, and execution.
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