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PingFederate · AI Spend & ROI

Every AI dollar, mapped to your PingFederate directory.

AI spend hides in six places: API tokens, coding agents, gateways, cloud model calls, seats, and subscriptions. Larridin reconciles all six, joins them to your PingFederate org data, and measures what they buy.

PingFederate knows who your people are. Larridin adds what they spend on AI, and what it returns.

  • Cost by SCIM group, department, and title
  • AI Work, AI Leverage, and Agent FTE per team
  • Read-only connector: nothing is written back to PingFederate
See your org data priced for AI
30 minutes on your data, not a canned demo.
SOC 2 Type IIGDPR ready

TRUSTED BY AI-FORWARD ENTERPRISES

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THE LARRIDIN THESIS

Spend over output equals ROI, per team, per role, per dollar.

If you can’t link spend to output, you can’t defend the budget in either direction.

CONSOLIDATE

Six sources, one spend model

API tokens, coding agents, gateways, cloud model calls, seat licenses, and subscriptions, reconciled automatically. Every agent traced to an accountable owner.

ATTRIBUTE

Your PingFederate directory is the map

Cost by SCIM group, department, and title. The answer arrives in the language your CFO already speaks.

PROVE ROI

Output measured from real work

AI Work, AI Leverage, and Agent FTE, next to function outcomes like shipped output and lead-qual time. Not self-reports.

THE LEDGER

Spend plus org equals impact.

Six spend sources on one side, your PingFederate directory on the other. What comes out is a number the board can act on.

The Ledger SPEND + ORG = IMPACT
ORG PingFederate
SCIM GROUPS·DEPARTMENTS·TITLES
SPEND 6 sources, 1 model
API TOKENS$74.2K
CODING AGENTS$52.4K
CLOUD MODEL CALLS$24.1K
SEAT LICENSES$18.6K
GATEWAYS$9.3K
SUBSCRIPTIONS$4.8K
IMPACT sample data

AI Work

38%

of shipped work

AI Leverage

2.4×

output per person

Agent FTE

14.2

agent capacity

Leading Teams

Engineering+32% shipped output
SalesLead-qual time −8%

SIX SOURCES, ONE MODEL

API tokens Coding agents Gateways Cloud model calls Seat licenses Subscriptions

Every vendor lands in the same ledger: OpenAI, Claude, Copilot, Cursor, and cloud-billed usage, attributed through the org structure PingFederate already maintains. See the vendor pages for each: OpenAI, Claude, Copilot.

WHAT IT LOOKS LIKE

Your PingFederate directory, with a P&L for AI.

Spend and impact by team, in one table the exec meeting can read without a walkthrough.

SPEND × IMPACT BY TEAM · SAMPLE

TeamHeadcountSpend / moAI WorkAI LeverageOutcome · QTD
Platform Engineering 64 $41,200 46% 2.6× +32% shipped output
Sales 92 $12,700 31% 1.7× Lead-qual time −8%
Growth Engineering 38 $58,900 44% 1.1× Flat: investigate
Support Operations 210 $6,100 22% 1.4× First-response −19%

All your AI spend, mapped to the directory you already maintain. Attributed by team, role, and cost center.

SOC 2 Type IIGDPR ready

WHY NOW

This bill just surprised a company that builds finance software.

Rippling went all-in on AI this year, then published what its CFO found. The numbers are one company’s, but the pattern is a preview of the conversation coming to every exec team, including the ones that run PingFederate.

Get your spend view

40¢

of every R&D compensation dollar was going to AI tokens at peak, on pace for 90¢ within a year.

60%

of total AI spend came from roughly 10 to 15% of employees. One engineer was burning $50K a month.

37%

July’s token bill vs. April’s, for the same ~600B tokens, once the spend was finally visible and managed.

÷

The missing half: whether any of it produced more shipped work. Spend is the numerator. Larridin owns the denominator.

Source: TechCrunch, “After Rippling blew millions on AI in months…”, Aug 7, 2026

YOUR OPTIONS

Build it internally, or connect Larridin.

The internal build is always the same: PingFederate exports, billing data, a warehouse, and a dashboard someone maintains forever.

Time to first report

Build itMonths of engineering time
Connect LarridinAbout 7 days

Spend sources covered

Build itWhatever gets wired up
Connect LarridinAll six, reconciled

Measures output, not just usage

Build itThin and hand-rolled
Connect LarridinAI Work, AI Leverage, Agent FTE

Who maintains it

Build itYour platform team, forever
Connect LarridinLarridin

VS RIPPLING AI SPEND CONSOLE

The AI spend console, for orgs that run PingFederate.

Rippling built one for Rippling customers. Larridin is the equivalent that joins your existing PingFederate org data, read-only.

Rippling AI Spend Console Larridin for PingFederate orgs
Runs on Rippling’s platform Your PingFederate org data, read-only
Spend sources Three connectors: Anthropic, OpenAI, Cursor Six sources, one model
Attribution Employee attributes in Rippling Every SCIM group, department, and title from PingFederate
What it measures Token usage, mapped to PRs Cost per PR, plus AI Work, AI Leverage, and Agent FTE

Rippling AI Spend Console details from rippling.com, August 2026.

HOW IT CONNECTS

Live against PingFederate in about a week.

Connect PingFederate

Read-only SCIM sync of users, groups, and profile attributes from PingFederate. Nothing is written back.

Connect the spend

All six source types reconciled into a single spend model, automatically. No proxy to insert, no gateway migration.

The first report lands

AI Work, AI Leverage, and Agent FTE by team and role, next to function outcomes. Board-ready in about 7 days.

FAQ

Questions PingFederate customers ask us.

Does PingFederate track AI spend?

No. PingFederate knows who your people are, not what you pay for AI. Token bills, seat licenses, and agent costs live in provider invoices and cloud consoles. Larridin brings that spend into the org structure PingFederate already maintains.

What PingFederate data does Larridin read?

Users, groups, and profile attributes via read-only SCIM sync. Nothing is ever written back to PingFederate.

Is this employee surveillance?

No. Larridin measures spend and output at the team, role, and cost-center level to answer budget questions. It is not a monitoring tool and does not score individuals for performance management.

Is there a Rippling AI Spend Console equivalent for PingFederate?

Yes. Rippling’s console maps AI spend to employee data for orgs on Rippling, and connects three vendors: Anthropic, OpenAI, and Cursor. Larridin is the equivalent for PingFederate orgs: six spend sources, joined to your PingFederate directory, and measured against output. No platform migration.

Do we have to change our AI gateway?

No. Larridin connects read-only to the sources you already use. There is no proxy to insert and no gateway migration required.

How fast do we get a board-ready number?

About a week. Connect PingFederate and your spend sources, and the first report, spend joined to org and measured against output, lands in roughly 7 days.

YOUR CFO IS GOING TO READ THAT ARTICLE

Get your numbers before the board asks for them.

Connect PingFederate read-only, and walk into the next exec meeting with both sides of the ledger.

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