Gateway Layer
Metered model access, per-seat usage, routing, and billing controls that make AI consumption visible and governable.
Private AI operations platform
The operating layer for business AI.
Phasma gives businesses a private, governed AI layer that can use company knowledge, remember important lessons, follow business rules, and support real operational workflows.
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Private deployments and managed pilots available.
The gap
AI is powerful, but uncontrolled AI is not enough for business.
Business AI cannot stop at a prompt box. Teams need systems that understand their context, preserve institutional memory, respect permissions, show usage, and route sensitive work through approval paths.
Phasma is designed as a governed operating layer: a place where AI capabilities can be connected to business knowledge and workflows without losing control of accountability.
Platform layers
Private infrastructure for memory, reasoning, and safe execution.
Knowledge Layer
Business documents, policies, procedures, and uploaded references organized around the needs of each organization.
Wisdom Layer
Captured lessons, patterns, decisions, client context, and operational judgment that help the business remember what matters.
Operator Layer
Drafts, recommendations, follow-ups, workflows, and approval-ready actions that support real business operations.
Use cases
Modular capabilities for work that needs context.
Phasma is built for business operations where answers, drafts, recommendations, and actions should be grounded in company-specific knowledge.
- Business operator agents
- Proposal and email drafting
- Lead/request classification
- Scope-risk detection
- Website/content operations
- WooCommerce and business reporting
- Approval-gated automation
Governance
Control is part of the product, not an afterthought.
Organization-scoped access
Per-seat attribution
Usage visibility
Modular grants/capabilities
Audit trails
Approval workflows
Controlled memory
Private pilots
Available through private deployments and managed pilots.
Phasma is not positioned as a generic self-serve chatbot signup. Early engagements focus on scoped business workflows, controlled access, and practical rollout plans.
Managed pilots help identify the right knowledge sources, permissions, memory boundaries, and approval paths before operational AI is expanded across a team.
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