Selfic AI
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Know the cost of every AI action before it happens

Selfic turns AI consumption into a governed enterprise expense. It measures, attributes, predicts, budgets, enforces and optimizes AI spend across every agent, model, department and user, before, during and after execution.

The question leadership is asking

What did AI cost us last month, by department, by agent and by outcome? Most enterprises cannot answer it, and fewer can stop the spend before it happens.

Selfic answers it, before the spend happens.

Cost per action and outcomeSee what each invoice, claim, check or request costs in AI.
Budgets by unit and userToken and model limits for every department, group and agent.
ChargebackAttribute AI spend to the business units that consume it.
AI economics

Turn AI consumption into a governed enterprise expense

Before, during and after execution, not just reported after the invoice arrives. Six steps in three stages.

SEE IT
PLAN IT
CONTROL IT
Step 1: See it

Measure

How much AI is consumed across workflows, agents, models and business units?

Every request is metered as it runs: tokens, model, context size and time, for every agent and vendor.

MeasureExample
Tokens this month44.4M
Requests1.26M
Models in use7
Agents active38
Budgets and visibility

Decide how much each user, department and group can spend on each agent

Central management of all AI spending, with limits enforced before the spend happens.

AI spend this month
Tokens used44.4M
Total budget66.5M
Budgets above 80%3
Limits reached1
DepartmentClaudeChatGPTCopilotInternal agents
FinanceFP&A, accounts payable
1.8Mof 3.0M
4.1Mof 5.0M
2.6Mof 3.0M
1.3Mof 2.0M
RiskERM, compliance
2.2Mof 4.0M
1.4Mof 3.0M
0.9Mof 2.0M
1.6Mof 3.0M
OperationsClaims, service
3.1Mof 4.0M
6.0Mof 6.0M
2.2Mof 3.0M
3.6Mof 4.0M
HRPeople operations
0.4Mof 1.0M
0.8Mof 1.5M
0.6Mof 1.0M
0.4Mof 1.0M
ITEngineering
3.9Mof 6.0M
2.7Mof 5.0M
2.4Mof 4.0M
2.4Mof 5.0M

Example data.

Control how enterprise intelligence becomes enterprise action

In 30 minutes we will map your AI consumption today, who owns it, and where budgets and limits would have the biggest effect.