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    Behest for enterprise automation

    Put every AI agent and workflow under control.

    Behest is the control plane for enterprise AI. Run your automations through it and every agent and workflow gets a spending limit before the invoice arrives, sensitive data stays out of prompts, only approved models are used, and every call is on record.

    The short version

    What does Behest do for enterprise automation?

    Behest is the control plane for enterprise AI, applied to AI agents and automated workflows. It caps spending per team, project, or workflow before the provider invoice arrives, removes personal information from prompts, limits which models each workflow may use, and keeps a record of every AI call.

    What you get when automation runs through Behest

    AI Token FinOps is the cost-control layer of the Behest control plane. AI Governance adds the data, access, and audit controls.

    • A budget for every agent and workflow

      Give each team, project, or automated workflow a dollar or token limit. Behest counts every AI call against it as it happens and stops calls when the limit is reached, so a runaway automation is stopped before the invoice arrives. Every dollar is tied to the workflow that spent it.

    • Sensitive data kept out of prompts

      On the Enterprise plan, personal information is found and removed before a prompt reaches an AI provider, and prompts are screened for attacks. Your automations can work with customer and employee records without handing them to a model provider.

    • Approved models only, with a record of every call

      Decide which AI models each team or workflow may use and block everything else. Every call is on record, so when someone asks what an agent did and what it cost, you have an answer instead of a guess.

    Behest vs. calling AI providers directly vs. building it yourself

    The controls a finance, IT, or security lead asks for before an automation goes to production, side by side.

    Comparison of Behest, calling AI providers directly, and building your own controls
    ControlBehestAI providers called directlyBuild it yourself
    Spending limit per team or workflowYes, enforced as calls happenPer-token billing, no capBuild and maintain it yourself
    Personal information removed before the modelYes, on the Enterprise planNoBuild and maintain it yourself
    Approved-model list per team or workflowYesLimitedBuild and maintain it yourself
    Record of every AI callYesLimitedBuild and maintain it yourself
    Cheaper model where the use case allowsYes, up to ~30% savings depending on use caseNoBuild and maintain it yourself

    Your automations stay where they are

    Your automations keep running where they are, whatever they were built with; Behest sits underneath them as the control plane. Your agents and workflows call AI models through Behest instead of calling the providers directly, and Behest applies your limits, data controls, and approved-model list to every call.

    Run Behest as a service in Behest's cloud, or choose the self-hosted Enterprise option and run it in your own environment, where prompts, completions, and provider keys stay inside your own environment.

    Frequently asked questions

    How does Behest stop an AI agent from running up a bill?
    You give each team, project, or automated workflow a dollar or token limit. Behest counts every AI call against that limit as it happens and stops calls once the limit is reached, so a loop or a runaway job is stopped before it shows up on the provider invoice. Reports show which workflow spent what, so finance can charge costs back to the right owner.
    Does Behest build our automations, or work with the ones we have?
    Your automations keep running where they are, whatever they were built with; Behest sits underneath them as the control plane. Your agents and workflows call AI models through Behest instead of calling the providers directly, and Behest applies your spending limits, data controls, and approved-model list to every call, across the AI providers Behest supports.
    Where does our data go?
    Behest runs as a service in Behest's cloud on every tier. On the Enterprise self-hosted option it runs in your own environment instead, and prompts, completions, and provider keys stay inside your own environment. With either deployment option, the Enterprise plan's data controls remove personal information from prompts before they reach an AI provider.
    Does Behest make our AI automation compliant with GDPR or SOC 2?
    No product does that on its own, and Behest does not hold a certification. What it gives you are controls your auditors ask about: personal information removed before a prompt leaves, an approved-model list for each team or workflow, and a record of every AI call. Whether your program meets a given framework is a determination you make with your compliance team.
    Can Behest lower what our automations already cost?
    Often, yes. Behest can route a call to a cheaper model where the use case allows it, which can cut AI costs by up to ~30%, depending on use case. The bigger win for most teams is control: no automation can spend past the limit you set.
    How is Behest priced?
    Behest is licensed as software. It is not a per-token markup. You can bring your own AI provider keys or use models through Behest at pass-through cost. Plans are sized to your annual AI spend, and self-hosting, PII scrubbing, and prompt-injection defense are included in the Enterprise plan. Contact us for a quote.

    Talk to our team

    Tell us which agents and workflows you need to bring under control. We will show you Behest on your own AI stack, or you can book a demo directly. Not sure where you stand? Take the AI readiness assessment.

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    Basic Information

    AI Token FinOps: Attribute AI spend and enforce budgets before the invoice arrives.

    Learn more