Automated cost allocation
AI spend is automatically tagged and allocated to teams, departments, and business units based on actual usage — no manual tagging required.
When AI spend is a single line item, nobody owns the cost and nobody is accountable for the return. Department-level allocation turns AI from a shared expense into a managed investment — where each team sees their cost, their output, and their value.
Most enterprises track AI spend at the organizational level. This creates a tragedy of the commons: departments consume AI resources without accountability because no one sees their individual cost. Meanwhile, Finance can't implement chargeback or showback because per-team data doesn't exist — or it's so manual that nobody trusts it.
Econa AI's Foundation tracks AI spend at the team, function, and business unit level from day one. Economics connects that spend to per-team outcomes — so cost allocation isn't just about who spent what, but who generated value. Finance gets the chargeback data they need; departments get the accountability they've been missing.
AI spend is automatically tagged and allocated to teams, departments, and business units based on actual usage — no manual tagging required.
Generate chargeback reports Finance trusts, or showback dashboards that give departments visibility into their own AI consumption and cost.
Go beyond cost allocation: show each department not just what they spent, but what they got in return — tasks completed, hours replaced, value generated.
Surface which departments are generating value and which are burning budget. Identify optimization opportunities at the team level.
Foundation maps AI spend to teams, departments, and business units based on workflow ownership, API keys, and organizational structure.
Economics calculates per-team return: what each department spent and what business value they generated from that spend.
Finance runs chargeback or showback. Each team sees their AI cost, their output, and their return — driving responsible consumption.
See how the platform fits this stage and use case.