Why it matters
It reframes runaway agent bills as a governance gap, not a pricing problem. With per-engineer coding-agent costs running $500–$2,000/mo and Gartner pegging AI-governance-platform spend at $492M this year, finance needs controls AI consumption never had.
Tokenmaxxing read
The fix isn’t cheaper tokens. BCG’s Jain calls excess consumption a symptom of weak tooling and memory — agents that pile on context to cover bad design. Track cost per outcome: only 4–5% of spend even reaches model providers; the rest is orchestration you can engineer down.
Source takeaway
Fortune India’s Jun 20 report leans on named operators — EY’s Mahesh Makhija, BCG’s Jain, R Systems’ Srikara Rao (who cites 30–35% better cost visibility from consolidation) — plus Deloitte, Gartner and McKinsey’s finding that 94% see no significant AI value.
