Blog - Isos Technology

Control Enterprise AI Spend: Announcing FinOps for AI

Written by Isos Technology | Sep 24, 2026

The high cost of ungoverned enterprise AI

As enterprises rapidly integrate Large Language Models (LLMs) and autonomous AI agents across engineering, IT, and business teams, a financial crisis has taken shape in the background: unmanaged AI spend.

Today, acquiring access to models like Claude 3.5 Sonnet, GPT-4o, or Google Gemini often happens through informal channels. A developer sends a Slack message asking an admin for an API key, and an admin generates the key directly in a vendor portal and drops it into a chat window.

While this unblocks innovation in the short term, it creates long-term operational and financial risks:

  • Lack of spend visibility: Financial oversight is fragmented across dozens of individual vendor dashboards (OpenAI, Anthropic, AWS Bedrock, Google Vertex AI).
  • Runaway agentic consumption: Autonomous AI agents executing complex multi-step workflows risk running infinite loops without budget guardrails.
  • No financial attribution: Finance teams cannot attribute token consumption back to specific clients, internal departments, or billable projects.
  • Security vulnerabilities: Manual API key distribution leads to credential sprawl, untracked access, and potential security leaks.

Organizations need a way to empower developers with self-service AI access while giving IT Operations and FinOps teams centralized control, hard budget caps, and real-time visibility.

Introducing FinOps for AI by Isos Technology

To solve the enterprise AI governance bottleneck, Isos Technology is proud to announce FinOps for AI, a turnkey solution designed to bring financial clarity, automated access governance, and security to your enterprise AI stack. FinOps for AI converts unstructured, ad-hoc API key requests into policy-driven, auditable workflows directly inside Jira Service Management (JSM).

Built as a native Atlassian Forge application connected to an open-source LLM proxy (LiteLLM), FinOps for AI sits between your service desk and multi-vendor AI APIs. It automates the entire lifecycle of LLM access, from request and approval to provisioning, usage tracking, and automated key revocation.

Key capabilities

Unlike standalone API gateways that require teams to adopt entirely new administrative platforms, FinOps for AI embeds governance into the Atlassian tools your teams already use every day.

1. Unified multi-model governance

Manage spend across Anthropic, OpenAI, Bedrock, and Gemini from a single control plane. Custom fields automatically pull approved vendors and models into JSM request forms using Atlassian Assets, eliminating manual endpoint tracking.

2. Project-level cost attribution

Track token consumption not just by the individual requester, but by the specific Jira Account or Work Item. FinOps teams can accurately allocate monthly token spend back to specific client accounts, billable projects, or cost centers.

3. Automated budget caps & one-time key security

Enforce custom rules based on monthly budget ceilings, duration limits, and user group permissions. Once approved, the system automatically provisions a scoped key. To maintain strict security, credentials and pre-formatted cURL scripts are displayed to the requester strictly one time inside JSM before being permanently purged from display.

4. Built-in AI Rules Wizard

To prevent logic flaws in complex governance policies, the solution includes a native AI Rules Wizard. The tool evaluates your configuration in plain language, flagging unintended overrides (such as an OR condition accidentally bypassing a $20 monthly budget cap) before rules go live.

Our AI governance framework

FinOps for AI is delivered as a fixed-fee, 90-day packaged engagement led by Isos Technology. We don’t just hand over software; we establish your operational AI Center of Excellence (CoE).

Month 1

Month 2

Month 3

Assessment & framework

  • Current-state LLM spend audit
  • Model & vendor mapping
  • Governance policy definition
  • User group access matrix

Deployment & configuration

  • Forge App installation
  • LiteLLM proxy integration
  • Atlassian Assets schema setup
  • JSM workflow mapping

Optimization

  • Usage analytics review
  • Rules engine fine-tuning
  • Cost optimization report
  • Knowledge transfer

Expected outcomes & ROI

By replacing ad-hoc key distribution with policy-governed workflows, organizations implementing FinOps for AI achieve clear, measurable outcomes:

  • Quantifiable reduction in total enterprise AI overhead spend.
  • 100% cost attribution mapped directly to Jira projects and accounts.
  • Zero untracked keys across your development ecosystem.
  • 90 days to value with dedicated consulting, implementation, and tail optimization support.

Take control of your enterprise AI overhead

AI adoption shouldn't come at the cost of financial control or security compliance. With FinOps for AI, your organization can foster innovation across development teams while maintaining total visibility over every token spent.

Ready to bring order to your enterprise AI spend? Contact Isos Technology today to schedule a custom demonstration of FinOps for AI and learn how our framework can refine your AI strategy.