AI Cost Optimization.
Without Per-Seat Waste.
Marketing, sales, support, and finance teams don't consume tokens like engineers — but per-seat AI licenses charge as if they do. SecuriX pools all company AI usage behind one gateway: pay per token, budget per team, and give every employee SSO access to a company chat portal. No individual accounts. No account sharing.
Where AI Budgets Actually Leak
Seat-based AI pricing assumes every employee consumes AI at the same rate. In practice, a small power-user tail drives most usage while the rest of the company pays full price for occasional prompts. That gap between seats paid and tokens consumed is where AI cost optimization starts.
Calculate Your AI Cost Savings
Per-seat licensing vs. pooled pay-per-token gateway
Non-developer teams typically spend $2–$8/month in tokens at API rates. Adjust the sliders to match your organization.
Six Levers of AI Cost Optimization
All enforced at one gateway — deployed in under a day
Pooled Pay-Per-Token Gateway
One admin API key replaces hundreds of individual subscriptions. All company AI routes through the gateway — you pay providers for tokens consumed, not seats allocated.
Team & User Budgets
Monthly token and dollar budgets per department or user. Soft limits notify, hard limits block at the gateway — overages never reach your provider bill.
Model Whitelisting
IT decides which models each team sees. Default cost-sensitive teams to efficient models; reserve frontier models for the workloads that justify them.
Throttling & Anomaly Detection
Rate limits per user and team, plus real-time alerts on usage spikes, loops, and off-hours consumption — the failure modes that silently torch AI budgets.
Real-Time Cost Attribution
Every token attributed to a user, team, and model. Leaderboards, burn rates, and CSV chargeback exports — visibility per-seat invoices can never give you.
SSO / SCIM Provisioning
Okta, Microsoft Entra ID, or Google Workspace. Employees are provisioned from IDP groups and deprovisioned the moment they leave — no orphaned paid seats.
Per-Seat Licensing vs. LLM Gateway
The same models, the same employees — two very different bills. Here is how per-seat AI subscriptions compare with routing all company AI through a pooled gateway.
| Per-Seat Licensing | SecuriX LLM Gateway | |
|---|---|---|
| Pricing model | Fixed fee, every seat | Pay per token |
| Idle & light users | Full price | ≈ $0 |
| Non-dev teams | Power-user price | Fraction of the cost |
| Budget control | None | Live hard limits |
| Model whitelisting | None | Per team & role |
| Usage visibility | Invoice total only | Per user & team |
| Employee access | Shared logins | SSO + SCIM |
| Shadow AI | Uncontrolled | Public chatbots blocked |
Built for the Teams Coding Assistants Forgot
Developer tools earn their seats. For everyone else — the majority of your company — per-seat pricing is a tax on light usage. SecuriX gives non-developer teams full AI access through the chat portal, at pooled token rates, with public chatbots blocked from company infrastructure.
Drafts campaigns, briefs, and copy a few times a day. Light token usage that never justifies a $20–60 seat — but every marketer still needs access.
Summarizes calls, drafts outreach, researches accounts. Bursty usage concentrated around deals — pooled tokens fit this pattern; flat seats do not.
Drafts replies and summarizes tickets all day, but with short prompts. High frequency, low token depth — a fraction of a seat price at API rates.
Occasional analysis, policy drafts, and reports. The classic idle-seat population on per-seat plans — near-zero cost on a pooled gateway.
AI Cost Optimization FAQ
Everything IT and finance leaders ask before switching
What is AI cost optimization?
AI cost optimization is the practice of reducing what your organization pays for AI tools and LLM usage without reducing access or output quality. For most enterprises the single biggest lever is replacing flat per-seat subscriptions with pooled pay-per-token usage through an LLM gateway, then adding controls like team budgets, throttling, and model whitelisting to keep consumption efficient.
How does an LLM gateway reduce AI costs?
An LLM gateway routes all company AI traffic through one proxy connected to a single admin API key from providers like OpenAI or Anthropic. Instead of paying $20–60 per seat per month for every employee, you pay providers only for the tokens actually consumed. Because light and idle users cost almost nothing at API rates, organizations typically cut AI spend by 60–80%.
How is pay-per-token different from per-seat AI licensing?
Per-seat licensing charges a fixed monthly fee for every user regardless of usage — an employee who sends three prompts a month costs the same as a power user. Pay-per-token billing charges only for actual consumption, so costs track real usage. This especially benefits non-developer teams like marketing, sales, and support, whose usage rarely justifies a full seat.
Can I set AI budgets for individual teams or users?
Yes. SecuriX lets you allocate monthly token and dollar budgets per team, department, or individual user. Soft limits send notifications, and hard limits block requests at the gateway before they reach the provider — so a runaway script or heavy user can never cause a billing surprise.
How do employees access AI without individual accounts?
SecuriX ships a whitelabeled, browser-based chat portal connected to your gateway. Employees log in with existing corporate credentials via SSO (Okta, Microsoft Entra ID, or Google Workspace), and SCIM provisioning adds or removes users automatically. No personal accounts, no shared logins, no per-seat fees.
Can we block public chatbots like ChatGPT and still offer AI to employees?
Yes — that is the recommended rollout. Point employees at your company-branded SecuriX chat portal, then block public chatbot domains at your network or endpoint layer. Employees keep full AI access through an audited, budgeted, policy-enforced portal, and shadow AI accounts disappear.
Can I control which AI models each team can use?
Yes. Model whitelisting lets IT decide exactly which models appear for each team. Route cost-sensitive teams to efficient models by default and reserve premium frontier models for the teams that need them — one of the highest-impact AI cost optimization levers available.
How long does it take to deploy SecuriX?
Under a day for most organizations. Connect an admin API key from your provider, configure your SSO integration, and share the chat portal URL with employees. Budgets, model whitelists, and audit logging are active from the first request.
Cut Enterprise AI Costs in Half
How an enterprise LLM gateway halves the AI bill, adds a full audit trail, and blocks PII before it leaves your network.
SecuriX Enterprise AI Gateway
Cost optimization is pillar one. See the full platform: prompt audit logs, DLP for PII, and Rego policy on every MCP tool call.
Stop Paying for Idle Seats
Book a demo and we'll model your exact savings — your headcount, your teams, your usage patterns — on a pooled pay-per-token gateway.
Book a Demo
See your AI cost optimization numbers on real data. We'll reach out within 2 business days.