How it works

Your whole org,
getting smarter
at AI together.

Oberhahn captures how every team actually works with AI and compounds that learning into shared organizational intelligence, moving past the spend and performance numbers everyone sees.

Start freeWatch the 2-min tour
Become the AI champion on your team

The best AI work shouldn't die in a chat window.

Oberhahn is the organizational intelligence layer for AI. It makes the good work visible, so it gets seen, reused, and credited. A tool to get better and get ahead, not replaced.

  1. 01

    See the work

    The AI wins buried in individual chats become visible to the people and teams they help.

  2. 02

    Set the standard

    One person's breakthrough becomes the team's playbook. The patterns that work spread.

  3. 03

    Prove the impact

    Everyone can see who moved the needle. Real contribution gets credited instead of guessed at.

One source of truth

See how your people and teams actually work with AI

Every question, prompt, and workflow traced to the person, team, project, and model behind it. Answers that used to take a Slack thread now take a glance.

Find the go-to, instantly
#payments-eng
PS
Priya S.10:42 AM
OBERHAHNFound it
payment-dispute-triage
Created byRisk Eng
Reused by6 teams
ModelClaude Sonnet
Right-size every task
Claude Code
>
Analyzing test_checkout_flow.py and 6 related files…
claude-opus-4 · 182K-token context window
OBERHAHNRecommendation
Model usedClaude Opus 4
Context used3% of 200K
Oversized model for a small, low-context task.
Switch to Haiku → save ~89% per run
Forecast the month before it lands
Platform Team
Monthly budget$20,000
Spend to date$14,050
Day 18 of 30
OBERHAHNForecast
$23,400projected month-end
+17% over budget
Platform Team flagged · 12 days early
Event Ledger for full attributionLive
Source: AllTeamProjectEnv: Production ▾Production ✓Development ✓
DateSourceConsumerModelCost
Jun 24Codex[email protected]codex$2,410
Jun 24Cursor[email protected]gpt-4o$184.00
Jun 23Claude Code[email protected]claude-sonnet-4$41.90
412 events · Production$8,640
Team · PlatformProject · Search ReindexOwner · Richard H.
Create safeguards
Daily spend threshold
Task spend threshold
Threshold$2,000
Notify#platform-costs

Fires the moment a single task crosses the threshold. Repeat alerts are grouped so the channel stays quiet.

Continue
Context efficiency by model
74%avg context efficiency · 30d
$44.6K spend
Claude Sonnet 4$13.4K
91%
2.4M callsOn target
GPT-4o$11.2K
76%
1.9M callsTrim context
Codex$9.8K
58%
3.1M callsBloated prompts
Claude Haiku 4.5$6.1K
88%
5.6M callsEfficient · scale up
Anomalies, caught early
Critical · Spend spike
GitHub Copilot spend spiked 573% on Thu
Est. financial impact+$4,120
View in Ledger
Cost per session, itemized
$2.92total session cost · 12.7K tokens · 3 calls
openai · gpt-4o6.6K tok$1.52
anthropic · sonnet-43.9K tok$0.91
openai · embed-32.2K tok$0.49
For whoever owns the whole org

See what every team and initiative is really doing

See how AI work rolls up, from the whole engineering org down to a single initiative, so you can spot what's working, spread it, and back the people driving it, alongside the cost and adoption signals you already report on.

Engineering org
All engineering512 engineers
$312k/mo$609/eng
Platform96 eng
$84k$875/eng
App Payments74 eng
$61k$824/eng
Search & R&D68 eng
$52k$765/eng
Growth88 eng
$47k$534/eng
CheckoutGrowth · 12 eng
$22k$1,833/eng
Initiative drill-in
Checkout rolloutGrowth · Checkout
AI spend$22,400/mo
Sessions / mo3,900
Cost / session$5.74
Context utilization34%
Cache hit rate12%
Top modelOpus 4
High cost per session. A frontier model is doing work a smaller one could handle, and most of the context window is paid for but unused.
Search reindexSearch & R&D
AI spend$18,100/mo
Sessions / mo14,200
Cost / session$1.27
Context utilization78%
Cache hit rate64%
Top modelHaiku + Sonnet
Spend is controlled and models are right-sized. Efficient context use and strong cache reuse keep cost per session low.
Fraud model v3App Payments
AI spend$12,900/mo
Sessions / mo9,800
Cost / session$1.32
Context utilization71%
Cache hit rate58%
Top modelSonnet
Spend is controlled, models are right-sized. Tight context and a high cache hit rate keep every session cheap.
Organizational intelligence

Observability tells you what happened. Oberhahn turns it into intelligence your whole org compounds.

Every prompt, retry, and workflow becomes an input, compounding into a system that makes the whole org smarter over time.

This is how the most effective teams do more with less.

Ready for what's next

Know how the next model performs before you commit

A new model ships and the baseline is already there. Oberhahn measures it against real workflows, task by task, so the call rests on actual work rather than a leaderboard.

New model vs. current baseline
Cost per taskdown 45%
Quality on real workflowsup 18%
Baseline · current modelNew model · measured on 1,240 real tasks
1,240
real workflows already benchmarked
no vendor benchmark required
Get started

Start seeing organizational AI, today

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