Home · For your role & industry · Finance · Aerospace & Defense

Program AI cost is now a FAR / DFARS line item.

Tokto attributes every prompt, completion, and model dollar to a program, a contract, a CLIN, a function, and a model, so the CFO can defend AI spend against the program office, DCAA, and the prime.

What keeps you up at night

DCAA opens an indirect-cost audit. AI spend allocations to programs cannot be reconciled to actual model usage. The unallowable-cost exposure is material. The board wants a Q&A in three weeks.

What you get with Tokto

How it works

Tokto sits at the financial control plane of AI in the program. Every co-pilot prompt, every proposal model, every supplier-shared AI call carries a program code, a contract, a CLIN, a function, and a model. The CFO knows what AI cost the lead program last quarter, what it cost the bid, and what it cost the supplier who passes it through at markup.

When DCAA asks for indirect-cost detail by program, when the prime asks for AI cost evidence at award, when the audit committee asks how AI cost maps to AI risk, the answer is one report against the system of record. The CFO defends AI spend the way every other line item is defended.

What goes wrong without it

Public commercial LLMs cannot be used with ITAR-controlled technical data, CUI, or classified-adjacent content under DFARS 252.204-7012, NIST 800-171, and CMMC 2.0 — and a clean CMMC assessment provides no shelter from State Department ITAR enforcement under the Arms Export Control Act. Pasting export-controlled technical data into ChatGPT to clean up a memo is a per-instance ITAR violation. Defense primes have begun requiring proof of an AI control plane before allowing AI tools to touch program data.

See how Tokto makes enterprise AI visible, governed, and accountable for Finance in Aerospace & Defense.

Book a demo
Related
Finance · BankingFinance · ConsultingFinance · Energy, Utilities & PortsCEO & Board · Aerospace & DefenseLegal & Compliance · Aerospace & DefenseTeams · Aerospace & DefenseAI GovernanceAI System of Record