Palantir Foundry is a powerful platform. That’s not really up for debate.

It can connect messy data, model complex operations, and surface insights that most organizations struggle to access. On paper, it does exactly what it promises.

And yet, many organizations struggle to fully realize Foundry’s long-term value.

Not because the technology fails but because the value never quite sticks.

We’ve seen teams launch impressive dashboards that no one uses. We’ve seen strong initial deployments fade once the implementation team rolls off. We’ve seen organizations invest heavily in Foundry, but struggle to sustain adoption, ownership, and long-term impact without the right internal structures in place.

The gap isn’t capability. It’s execution.

When Foundry programs struggle, it’s rarely because the platform can’t support the use case. In most cases, the technology is ahead of the organization’s operating model

Foundry works best when it’s treated less like a tool and more like an operating system for how teams make decisions. That requires more than a successful go-live. It requires the right structure, the right habits, and the right level of ownership inside the organization.

This article isn’t about what Foundry can do. Palantir already articulates the platform’s capabilities exceptionally well. 🔗

It’s about what actually drives lasting value once the platform is in place  and what separates programs that scale from those that quietly stall.

When Foundry programs struggle, the instinct is often to look at the technology.

Maybe the data isn’t clean enough.
Maybe the models need refinement.
Maybe the platform just needs more time.

In reality, those are rarely the root issues.

The most common failure point we see is the operating model around Foundry  how it’s deployed, who owns it, and how it fits into day-to-day decision-making.

Many organizations treat Foundry like a project with a finish line. There’s a build phase, a deployment phase, and a handoff. Once the dashboards are live, the job is considered done.

But Foundry doesn’t behave like traditional enterprise software.

Its value compounds over time. Each use case builds on the last. Each team interaction shapes the quality of the data and the trust in the system. When that ownership isn’t clearly defined, Foundry becomes something teams look at rather than something they run on.

This is where gaps begin to form.

Business teams wait on technical teams for changes.
Technical teams build in isolation from real workflows.
Leadership sees potential, but not consistent results.

Without a shared operating model, even well-built Foundry applications struggle to survive beyond their initial launch.

Foundry delivers the most value when it becomes part of how work gets done not an overlay on top of it.

That shift requires intentional design. It means aligning platform capabilities with real operational decisions, and making sure the people closest to the work understand how to use, trust, and evolve what’s been built.

Organizations that get long-term value from Foundry tend to make a few deliberate choices early on.

First, they treat Foundry as a shared system not a siloed analytics tool. Data, logic, and decisions are connected across teams, which reduces version conflicts and builds confidence in the outputs.

Second, they invest in people as much as the platform. End users are trained to understand not just what they’re seeing, but why it works the way it does. Builders are trained to design for real-world usage, not just technical correctness.

And finally, they accept that Foundry is never truly “finished.” The platform evolves alongside the business. New questions lead to new models. New data improves old assumptions. The system gets better because the organization knows how to grow it.

This is where many deployments either gain momentum  or quietly plateau.

Technology adoption doesn’t fail because people don’t care. It fails because people don’t feel confident using what’s been built.

Without training aligned to real workflows, Foundry can feel opaque to new users. Users may rely on outputs without understanding them, or avoid the platform entirely when something doesn’t make sense.

Effective training closes that gap.

For end users, it turns Foundry from a black box into a trusted tool for everyday decisions.
For builders, it creates consistency in how pipelines, applications, and workflows are designed and deployed.
For leaders, it creates visibility into how data is actually being used  not just that it exists.

When training is aligned to real workflows, Foundry stops being something teams need to “learn” and starts becoming something they simply use.

ForgeSight’s Foundry Training equips your teams to confidently navigate applications, build consistent workflows, and make better decisions with data. 

Explore Training Programs 🔗

ForgeSight works with organizations that want Foundry to deliver value beyond the initial deployment.

Rather than focusing only on technical implementation, ForgeSight helps teams build the operating model around Foundry. From end-user adoption to developer capability to long-term platform ownership. 

The goal isn’t more impressive dashboards that struggle to become part of daily decision-making. It’s better decisions, made faster, with confidence in the data behind them. 

See how your teams can adopt, scale, and sustain Foundry with confidence.