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    WeaverAI Platform · Control Plane

    The Enterprise Control Plane for Safe AI Usage

    WeaverAI Control Plane lets organizations run AI under full control: enforce policy, prevent sensitive-data leakage, observe usage, manage budget, and optimize token consumption — across every team, application, agent, and model.

    Data securityPolicy & enforcementFull visibilityCost attributionToken optimization
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    Control Plane · Overview
    Live
    Tokens this month
    184.2M
    +12%
    Monthly AI spend
    $28,410
    +6%
    Savings from recs
    $7,120
    -25%
    Top teams by usage
    tokens
    Engineering
    68.4M
    Support
    52.1M
    Data Management
    31.7M
    Marketing
    16.0M
    Open risks
    PII sent to external provider
    External model in sensitive team
    Model mix
    External A 48%External B 27%Local 15%External C 10%
    The Control Gap

    AI adoption is outpacing enterprise control

    AI tools are moving fast into teams, applications, workflows, and agents. Without a central control plane, the organization struggles to know what data is sent, who uses which models, where the security risks are, and how token consumption drives cost.

    Sensitive data leaking to external providers

    PII, secrets, and business data leave your walls unchecked.

    Unauthorized or improper AI use

    Teams use models and tools with no approval or policy.

    No visibility into AI usage

    Hard to answer who is using what, how, and why.

    Uncontrolled token consumption

    Costs grow without clear explanation or budget.

    No cost attribution to teams

    Departments and projects with no budget visibility.

    No token consumption optimization

    It is unclear where to save cost, latency, or tokens.

    The Control Plane

    A policy, security, visibility, and optimization layer — above your enterprise AI environment.

    WeaverAI Control Plane adds a policy, data-security, visibility, and optimization layer above your enterprise AI environment — enabling broad AI adoption without losing control.

    Around your enterprise AI Gateway
    Enterprise identity provider
    Local / enterprise persistence
    Audit-ready
    The 5 Pillars

    Five capabilities. One control plane.

    Every capability maps to your teams, budgets, and policies — with a measurable outcome.

    Data Security & Leakage Prevention

    Prevent sensitive data from reaching external providers and stop AI misuse.

    Block sensitive-data leakage
    • Block PII from being sent to external providers
    • Detect secrets, API keys, and passwords in prompts
    • Block unapproved models for sensitive teams
    • Protect RAG and agent flows from prompt injection
    • Full Audit of every AI request
    • Prevent improper AI use for non-work purposes

    Policy & Enforcement

    Who may use which models, apps, agents, and tools — enforced before the request is sent.

    Enforce policy before every request
    • Organization, team, project, and user mapping
    • Access policies for models, apps, and agents
    • Role-based permissions
    • Enterprise identity provider integration
    • Approval-ready policy architecture
    • Policy evaluation before every AI request

    Visibility & Usage

    Observe AI usage by user, team, project, application, model, and provider.

    Full visibility on every AI request
    • Track requests, tokens, models, providers, and apps
    • Usage by user, team, project, and application
    • Real-time usage dashboards
    • Usage trends and anomaly detection
    • Model and provider-level visibility

    Cost Attribution & Budget Control

    Understand who consumes AI, how much it costs, and where budget overruns occur.

    Precise cost attribution per team
    • Team-level and project-level cost attribution
    • User and application cost attribution
    • Showback and chargeback support
    • Monthly cost summaries
    • Budget tracking and overrun alerts
    • Pricing rules per model or provider

    Token Consumption Optimization

    Reduce cost, latency, and tokens with Smart Caching, Smart Routing, and prompt compression.

    20–40% token-consumption savings
    • Token compression for long prompts
    • Smart Caching for repeat requests
    • Smart Routing of simple tasks to cheaper models
    • Repeat-prompt detection
    • Expensive usage-pattern detection
    • Cheaper-model recommendation by quality, cost, and sensitivity
    Architecture

    How WeaverAI fits into your enterprise AI stack

    WeaverAI connects to your enterprise AI Gateway, identity system, and storage layers, and adds a central control layer for policy enforcement, usage visibility, cost control, data security, and token-consumption optimization.

    WeaverAI runs above or beside your enterprise AI Gateway, providing central control over AI requests before they reach any model or provider.

    Sources
    Users
    AI Apps
    Agents
    Enterprise AI Gateway
    Enterprise AI Gateway
    Model routing gateway
    Models & Providers
    External AI provider
    Additional external provider
    Local model
    Internal model
    WeaverAI Control Plane
    Security · Policy · Visibility · Cost · Optimization
    Data Security
    Policy & Enforcement
    Visibility & Usage
    Cost Attribution
    Token Optimization
    Enterprise Identity Provider
    Identity, groups, roles
    Local / Enterprise Database
    Policies, usage, cost, Audit
    Policy Evaluation

    Every AI request is evaluated before it reaches a model

    Every request is checked against user identity, team, project, data type, requested model, budget quota, and organizational security policy — before it is sent to any external AI provider or internal model.

    Step 1
    AI Request
    Step 2
    User & Team Identification
    Step 3
    Policy & Data-Security Check
    Step 4
    Route to Approved Model
    Step 5
    Audit, Metering & Response
    Usage & Cost Attribution

    Know exactly who spent what — and why.

    Full cost attribution by team, project, user, app, model, and provider — with ready-to-use showback and chargeback.

    Usage
    last 30 days
    Requests today
    42,180
    Top model
    External Provider
    Anomaly
    +3.4×
    Tokens by team
    EngineeringSupportData ManagementOperationsProductMarketingFinance
    Cost Attribution & Budget Control
    november
    Engineering
    $12,480Chargeback
    Support
    $6,220Chargeback
    Data Management
    $4,910Showback
    Marketing
    $2,180Showback
    Security

    Policy enforcement to prevent data leakage and AI misuse

    Enforcement controls ranked by risk — PII, secrets, unapproved models, AI misuse, Audit, and prompt injection.

    Block PII from external providersHigh
    Detect and block personal identifiers before they leave your walls.
    Detect secrets, API keys, and passwords in promptsHigh
    Automatic prompt scanning for secrets before dispatch.
    Block unapproved models for sensitive teamsHigh
    Restrict specific teams to local or approved models only.
    Prevent improper AI use for personal or unauthorized purposesMedium
    Enforce business-use policy on every request.
    Full Audit of AI requests per organizational policyMedium
    Every request is recorded for compliance and control.
    Protect RAG and agent flows from prompt injectionLow
    Built-in filters and guardrails for RAG and agent flows.
    Token Optimization

    Optimization of token consumption, cost, and latency

    Automated recommendations: token compression, Smart Caching, Smart Routing, repeat-prompt detection, and cheaper-model suggestions — each with a measurable saving.

    -38%

    Token compression on long prompts

    Shorten repeated prompts and systematic fields to reduce consumption.

    -24%

    Smart Caching for repeat requests

    Cache answers for repeated and similar requests.

    -19%

    Smart Routing to cheaper models

    Route simple tasks to cheaper models.

    -31%

    Cheaper-model recommendation

    Swap an expensive model for an equivalent one by quality, cost, and sensitivity.

    -12%

    Repeat-prompt detection

    Reduce duplication across agents and automations.

    -9%

    Expensive usage patterns

    Identify teams and apps with unusual cost.

    Enterprise Ready

    Built for regulated organizations and multi-team AI adoption

    Works with your existing enterprise AI Gateway
    Integrates with your enterprise identity provider
    Local persistence for policy, usage, and cost
    Audit-ready usage records
    Designed for regulated organizations
    Built for multi-team AI adoption
    Unified visibility across teams and projects

    Bring control and security to your enterprise AI adoption

    Start managing data security, policy, usage, cost, and token consumption — from a single control plane. Deploy in weeks, not quarters.

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