Start with your AI posture: who uses AI, which tools, how much is unapproved, and what it costs. Then control model calls with policy, budgets, and cost-aware routing.
✓ Real-time visibility and control across production AI workloads
Who this is for
Behest sits between your apps and your AI providers, so IT, engineering, security, and finance read from the same source of truth.
Your company is racing to adopt AI, and every team is calling providers on its own. You own the rollout, but usage, spend, and risk are sprawling out of your control.
Centralize model access, enforce budgets and policy, attribute usage by team or application, and give your AI workloads a single controlled path to providers.
Learn moreEmployees and developers use AI tools security never approved, and much of that usage never passes through a central control point.
Behest Radar, a free download, discovers shadow AI on employee and developer machines. Behest then puts model access, PII protection, prompt-injection defense, policy, and auditability into the AI request path.
Learn moreAI spend is growing across providers, applications, teams, and agents, but the invoice does not tell you what created the cost.
Behest attributes spend to the workload and cost center that generated it and gives you enforceable budgets before the bill arrives.
Learn moreCore capabilities
Behest is the control plane for enterprise AI: one place to see every model call, attribute its cost to the right owner, enforce budgets and policy in real time, govern model access, and route workloads intelligently. AI Token FinOps is its cost-control layer.
Four core capabilities work together: See usage, Control spend with AI Token FinOps, Govern access with AI Governance, and Optimize routing. Behest Radar adds shadow AI discovery on employee and developer machines (free download).
Per-request capture of model, tokens, cost, user, and project, attributable to the session that drove it, so a runaway workload shows up as a row, not a quarter-end surprise.
Hard token and dollar budgets on the request path, per user, project, and tenant. Stop overruns before the provider invoice lands.
PII scrubbing, prompt-injection defense, tenant model allowlists, and audit trails, inline on the AI request path.
Route eligible workloads to lower-cost models by policy, without rewriting application logic.
The control plane
An AI control plane is a shared control layer for enterprise AI traffic, putting AI usage under visibility, cost attribution, budgets, governance, and smart routing across models, applications, teams, and workloads.
Instead of scattering those controls across each app and provider, the enterprise routes its AI through one plane where cost and policy are observed and enforced in the same place.
The cost-control layer
AI Token FinOps is the cost-control layer of an enterprise AI control plane. It brings attribution, budgets, forecasting, and real-time enforcement down to the model-call level, so companies can understand and control AI spend before the provider invoice arrives.
Behest combines AI Token FinOps with governance, model access, security controls, and routing in one platform.
Product proof
Production applications are only part of enterprise AI usage. Developers use coding assistants, employees use desktop AI tools, and much of that use never touches an approved path.
Behest Radar finds the AI tools on employee and developer machines, including the ones nobody approved (free download, observe-only). Behest Control turns that into one AI posture: who uses AI, which tools, how much is unapproved, and where the money goes. Model calls that run through Behest get policy, budgets, and model access.
Radar observes and never blocks. Control applies to model calls that run through Behest.
In the last 30 days, 34 people used 11 AI tools. $18,400 of that was unapproved.
Who uses AI
34 people
11 tools
Unapproved AI
$18,400
7 tools
Approved AI
$11,200
22 people
Where the money is
$29,900
Sample data · estimates use list price for Claude models; other tools are counted, not priced
Questions
The questions buyers ask first. For deeper technical or security questions, see the docs.
Looking for plans and tiers? See pricing.
See usage, enforce budgets and policy, govern model access, and understand what your production AI workloads are costing.
30-minute product walkthrough. No slides.
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