Private Beta

You approved the AI budget. Where did it go?

The system of record for AI spending.

Vintage adding machine with OBERHAHN branding

Connects with your existing stack

LinearLinear
JiraJira
GitHubGitHub
OpenAIOpenAI
AnthropicAnthropic
GitHub CopilotGitHub Copilot
CursorCursor
DevinDevin
SalesforceSalesforce
Google GeminiGoogle Gemini
LangChainLangChain
DatadogDatadog
NotionNotion
SlackSlack
LinearLinear
JiraJira
GitHubGitHub
OpenAIOpenAI
AnthropicAnthropic
GitHub CopilotGitHub Copilot
CursorCursor
DevinDevin
SalesforceSalesforce
Google GeminiGoogle Gemini
LangChainLangChain
DatadogDatadog
NotionNotion
SlackSlack
The AI Attribution Problem

AI spend is now your fastest-growing uncontrolled cost center.

Your organization knows what it spends on people, infrastructure, and software. Bounded, auditable, predictable costs. AI is none of those things. It is not a license. It is not a headcount line. It is consumption and grows with every workflow your team automates.

No Attribution

AI spending has no system of record. You cannot allocate it by team, project, or outcome the way you would any other operating expense.

No Visibility

Budgets are approved. Invoices arrive. What happened in between is largely invisible and driven by time saved not ROI.

No Governance

Without controls and reporting, AI spending cannot be forecasted, optimized, or justified at the executive level.

How It Works

From deployment to insight in five minutes.

Connect Your AI

Connect existing AI tools, APIs, and workflows in minutes. No rip-and-replace required. OBERHAHN sits alongside your stack and starts capturing data from day one.

Measure Every Spend

Attribute every API call, model cost, and consumption to the team, product, or workflow that generated it. See what each decision actually costs, including retries, failures, and idle agents.

Optimize Cost. Maximize Returns.

Forecast future spend, identify inefficiencies, and shift resources toward the workflows generating the highest business return. Turn AI cost from a mystery into a managed competitive advantage.

Capabilities

Track your AI spend the way you track everything else.

See the cost, the output, and the ROI. Across every model, every team, every decision.

Know Before You Overspend

Define AI spending limits by team, product, or initiative. Alerts fire before budgets breach, giving leadership time to act, not react.

Connect Cost to Outcome

Every model call connected to the business decision that made it. See what each feature, agent, or workflow costs, including failures.

See What's Coming

Forward-looking forecasts based on real consumption. Know where AI spend is heading before it arrives in an invoice.

One Ledger, Every Provider

One view across OpenAI, Anthropic, Gemini, and proprietary models. Compare cost-per-outcome across vendors. Stop overpaying.

Introducing Oberhahn Intelligence

See exactly where your intelligence capital is deployed.

Real-time dashboards for every division, model, and decision. Built to be useful.

OBERHAHN
Live

OVERVIEW

Total AI Spend
$417K
↗ 8%
this month
Return on AI Investment
6.8x
↗ 24%
value / spend
Value Generated
$2.8M
↗ 31%
attributed output
Total Prompts
175K
↗ 13%
across all platforms

Swipe to see more

AI Spend vs Value Generated
6.8x↗ 24% ROI
$3.1M$2.1M$1.0M$0
May 1May 8May 15May 22May 29
Value Generated
AI Spend
Spend by Tool / Service
OpenAI API
$1.65M
780K
Cursor
$950K
420K
Anthropic API
$800K
310K
Devin
$750K
62K
LangChain
$450K
195K
ChatGPT Team
$250K
380K
Codex / Copilot
$150K
148K
ROI by Model
GPT-4o-mini
9.2x
Claude Haiku
8.4x
GPT-4o
5.1x
Claude Opus
3.8x
o1-preview
1.2x
ROI by Platform
Cursor
11.4x
Copilot
8.9x
ChatGPT Team
4.2x
Devin
2.1x
Custom Agents
1.8x
ROI by Role
Staff Engineer
14.2x
Senior Engineer
9.8x
Product
6.1x
Design
4.4x
Sales & Marketing
2.3x
Prompts by Platform
Cursor
420K↗ 24%
ChatGPT
380K↗ 8%
API Direct
1.09M↗ 31%
Devin
62K↓ 12%
Copilot
148K↗ 4%
Team Budget Tracking
Engineering$2.05M / $2.5M (82%)
Product$780K / $1.0M (78%)
Sales & Marketing$928K / $800K (116%)
Design$497K / $700K (71%)

The organizations that succeed with AI will not be those that spend the most. They will be those that understand where AI creates value and manage it accordingly.

Private Beta

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