How does Behest AI handle AI Token FinOps?

Behest AI provides built-in AI Token FinOps with per-tenant cost attribution, department chargebacks, and inline token budgets. It operates on a pure SaaS license model with no token markups, ensuring predictable AI spending.

Can I set token limits per user?

Yes. Behest AI allows you to enforce strict token budgets inline. You can set limits per user, per project, or per tenant to prevent runaway loops and unexpected API bills.

The AI Token FinOps Company.

Built by leaders fromPalo Alto NetworksOracleAmazon Behest is built by a founding team whose members previously held leadership and engineering roles at Palo Alto Networks, Oracle, and Amazon. This describes where the team came from — these companies are not customers, partners, or endorsers of Behest.

What is AI Token FinOps?

AI Token FinOps is the control center for your AI spend: tracking, allocating, and controlling AI Token budget at the unit level. It brings the rigor companies already apply to cloud costs (attribution, budgets, forecasting) down to every model call, so AI cost becomes visible and predictable before the invoice arrives.

Founded: 2025
Headquarters: Campbell, California

Built by a proven team

USPTO Patent

Named inventor — US 11,995,609

10M+ users

Scaled by our founders at Zangi

Behest today

Your cloud or ours

SaaS, or self-hosted — your keys, your egress

Safe by default

PII scrubbing + injection defense on every request

Leadership Team

Garen Azizian

Chief Executive Officer

VP, Forcepoint
Sr. Director, Palo Alto Networks
Ex–Oracle
USPTO Patent Inventor

Garen has spent 25 years building the systems that license, bill, and account for cloud usage at enterprise scale — the exact muscle Behest brings to AI. As a Senior Director at Palo Alto Networks he led Enterprise Applications and Quote-to-Cash engineering, designed a new licensing platform spanning the company's cloud and hardware products, and integrated billing across the AWS, GCP, Azure, and Oracle Cloud marketplaces. Most recently he was a VP at Forcepoint, leading the Business Transformation and Big Data organizations; earlier, at Audible Magic, he built content monetization technology whose customers included Meta, SoundCloud, and Dailymotion, and became a named inventor on a granted USPTO patent (US 11,995,609). He built Behest to do the same for AI spend: track every token, enforce every budget, and control every call.

Levon Mikayelyan, PhD

Chief Technology Officer

Co-Founder, Zangi (10M+ users)
Ex–AWS
Ex–Palo Alto Networks

25+ years architecting globally scalable, secure AI and SaaS platforms. Co-founder of Zangi, a privacy-first communication app with 10M+ active users. Former engineering leader at Amazon (AWS) and Palo Alto Networks, building systems that prioritize data integrity at enterprise scale.

Tecali Tekeste

Founding Engineer

Ex–Palo Alto Networks
20+ yrs Engineering

20+ years of software engineering, architecting and scaling high-performance AI backend platforms. Previously at Palo Alto Networks alongside Garen and Levon, bringing deep enterprise security and infrastructure experience to Behest AI's production systems.

Why we built Behest

We spent decades inside the companies that defined enterprise security and scale — Palo Alto Networks, Oracle, and Amazon — watching teams deploy AI faster than anyone could govern it.

The pattern was the same ungoverned sprawl we'd spent careers taming in security, only now it showed up on the invoice: spending on AI with no attribution, no budgets, and no controls — discovered after the bill arrived, never before.

So we built the missing layer: a control center that attributes every token, enforces hard budgets in real time, and puts governance in the request path — the one we'd bet our own AI budgets on.

Our principles

Govern the spending, not the team

Cost control shouldn't mean red tape. Behest enforces budgets in the request path, automatic and invisible to your builders, so finance gets control and engineering keeps moving.

You can't control what you can't see

Every AI dollar should trace to a person, a team, a decision — in real time, before the invoice, not buried in it. We turn the black box into a clear picture. Clarity is control.

Your keys. Your egress. Your call.

Choose SaaS in Behest's cloud, or self-host the control center in your cloud with your keys — you control egress, and with the self-hosted option and self-hosted models your data stays in your environment. Trust is the default, never an upgrade you have to buy.

Security & data handling

Built to run inside your existing compliance program

Behest runs as SaaS in our cloud, with an Enterprise option to self-host in your VPC — so your provider keys, configuration, and control center can stay in an environment you already control and audit. Every AI call gets a full audit trail, access is controlled per tenant and per user, and PII is scrubbed before a request reaches an external model — the technical controls your auditors look for when they assess a framework like SOC 2, HIPAA, or GDPR.

Behest provides technical controls that support your compliance obligations. Your certification and its scope remain yours to determine with your auditor.

Visit the Trust Center

Talk to the people building it

Evaluating Behest for your stack? Get a working demo and a straight answer on security, deployment, and cost — direct from the founding team.

Talk to the founders

Or get our AI Token FinOps insights by email: