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Enterprise AI Blog: Strategy, Governance & ROI Insights
Practical insights for scaling AI with confidence — from ROI to governance
55% of Executives Say Agents Lack Business Context. Snowflake Built a Gateway.
3 Token Cost Metrics Every CFO Should Be Watching
In May 2026, Uber’s COO Andrew Macdonald said something that should make every CFO uncomfortable. Uber had burned through its entire 2026 AI budget in […]
Power, Casual, New, Idle: How Olakai’s Adoption Cohorts Find Your Wasted AI Licenses
A company buys 200 seats of Claude Code or Cursor — a familiar story in the era of AI coding tool sprawl. Six months later, […]
Inside AI Spend Governance: Budgets and the Alerts That Fire Before You Blow Through Them
A CFO rarely discovers an AI spend problem from a dashboard. They discover it from an invoice, weeks after the spending already happened, with no […]
AI’s $725B Capex Reckoning: Prove ROI or Get Cut
One company spent $500 million on AI in a single month. Not across a year, not spread over a sprawling transformation program, but in one […]
Shadow AI Statistics 2026: The Governance Crisis Is Already Here
Last year, one in five organizations was breached because of shadow AI. The average tab came to $4.63 million, roughly $670,000 more than a conventional […]
AI Coding Tool ROI: Why Acceptance Rate Is the Wrong Metric
In May, Gartner published its first-ever assessment of the enterprise AI coding agent market, formalizing a category that did not exist as a named market […]
The Real Bill, Not a Guess: How Olakai Reconciles Google Vertex AI Costs to BigQuery
Most AI coding-cost dashboards show a number and let you assume it’s a bill. Sometimes it is. Sometimes it’s a model built on token counts […]
Anthropic’s Mythos Crisis: What a $900B Raise Tells Enterprise AI Buyers
Anthropic’s $900B raise and the White House Mythos block tell enterprise AI buyers a hard truth: compute is rationed. What it means for your roadmap.
How Olakai Detects AI Coding Tool Usage Without Installing a Single Agent
The first objection a CISO raises to almost any AI analytics pitch is some version of the same question: “so now I need to put […]
Meta’s $53B AI Capex Bet vs. 14,000 Layoffs: When the Market Stops Cheering
Meta’s 8,000-job memo coincides with $53B in new AI capex. The savings cover one-tenth of the spend. The market shrugged. Here is what that means for your AI roadmap.
The Return of the Desktop App: And the AI Measurement Gap It Creates
For 25 years, the entire direction of travel in enterprise software was the same: everything moved to the browser. Salesforce on CDs gave way to […]
Tokenmaxxing Is the New Lines of Code: Why Token Leaderboards Won’t Prove AI Value
Someone at Meta built a leaderboard called Claudeonomics. It ranked employees by the number of tokens their AI models processed and generated. Top spenders got […]