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Workforce access
Give employees governed access to AI with clear policy, continuity, and accountability.
AI governance infrastructure
Govern AI.
Any model.
At any scale.
Palladium is a provider-independent governance control plane for enterprise AI. It keeps identity, policy enforcement, model routing, consequential-action authorization, and audit evidence outside the model.
Models can propose decisions and actions; Palladium determines whether they are permitted, binds approved actions to exact payloads, and preserves a verifiable record of what happened.
One governance layer
Use any model. Apply one standard. Prove what happened.
Control once. Enforce everywhere.
The durable layer above changing models.
Palladium centralizes the institutional controls that should not disappear when a team changes models, providers, tools, or interfaces.
Identity
Memory
Governance
Policy
Evidence
Console
Employees
Governed access, administration, policy visibility, and evidence review.
CLI hooks
Developers
Controls inside coding workflows, agent runtimes, and developer tooling.
SDK + API
Applications
A reusable decision boundary for products, services, and automated agents.
Browser connector
Web AI tools
Policy and evidence across third-party AI experiences used in the browser.
Delivery surfaces
Palladium meets AI where work happens.
The product is one governed system, delivered through the surfaces each organization already uses.
02
Developer workflows
Carry organizational controls into the tools developers and technical teams already use.
03
Applications + agents
Embed a consistent decision and evidence layer across products, services, and automated work.
04
Web + endpoints
Extend the same governance posture beyond managed applications and into everyday AI use.
Policy Enforcement
Apply governance consistently before and after every AI exchange, ensuring organizational policies remain enforceable regardless of which model is used.
Multi-Model Routing
Route requests across leading providers, private models, and future systems without sacrificing governance or portability.
Auditability
Create durable evidence trails that explain what happened, why it happened, and which policies influenced the outcome.
Trust Boundaries
Maintain clear separation between users, memory, data, policies, models, and enterprise controls.
Proof in Bonfire
Not a side experiment. Operating proof.
Bonfire demonstrates the same architecture Palladium brings to the enterprise: durable control above replaceable models.
Explore Bonfire →
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Identity above the model
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Context and memory above the model
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Dynamic policy based on participants and environment
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Governance before persistence or execution
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Provider independence
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Human-readable interventions
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Continuity across model changes
Enterprise capability
When AI makes decisions, evidence matters.
Most AI systems produce outputs. Palladium produces accountability. Every governed exchange can preserve the inputs, context, policies, routing decisions, risk evaluations, outputs, and enforcement actions that led to an outcome.
Inputs
Who initiated the request and what was asked?
Policy
Which governance rules were evaluated?
Decision
Why was the action approved, modified, escalated, or blocked?
Forensic Replay
Reconstruct the complete governed exchange with context intact.
Built on Rita
AI will become infrastructure. Governance must become infrastructure too.
Rita establishes order. Palladium protects it. Together they create a governed intelligence architecture that remains explainable, portable, auditable, and accountable as artificial intelligence becomes embedded throughout the enterprise.