TRUST CENTER
You trust us with how your company uses AI. Here is how we earn it.
Prompt Policy
Your prompts stay yours.
We measure usage. We check content only when you ask us to.
Cost tracking works from usage signals like model, tokens, cost, team and timing. When you turn on Sentinel, queries are checked before they reach the model, so they're stopped before you're charged.
We never train models on your prompts.
Not ours, not a vendor's. Customer content is never used to build or improve any AI model.
You control retention.
Choose how long any shared content is kept, and delete it on request.
We report on patterns, not people's words.
Prompt quality insights are built from aggregate signals. We do not show one employee's prompts to their manager.
THE BRIEF
Pulled from our benchmark database, which grows every night. Every figure is published, dated, and sourced.
46.9% of enterprises ran over budget on AI
· The Futurum Group
46.9% of enterprises reported running over budget on AI, against 31.8% approximately in line with budget and only 5.6% below plan
Only 17.2% of over-budget organizations pause or reduce the AI initiative
· Techstrong.ai
Among enterprises over budget on AI, only 17.2% pause or reduce the AI initiative itself, while 48% request additional budget and 43% absorb the overrun and settle it later
61% cut external contractors and consultants to fund AI overruns
· Techstrong.ai
Organizations over budget on AI fund the gap by cutting elsewhere: 61% reduce external contractors and consultants, 60% cut IT support and helpdesk, 58% cut software and application development, and 23% reallocate from a non-IT business unit budget
10% have no formal AI budget and 5.6% do not know where their AI spend stands
· The Futurum Group
10% of enterprises have no formal AI budget to measure spending against and a further 5.6% do not know where their AI spending stands, meaning roughly one in six cannot say whether they are over or under budget
US$795 billion of 2026 hyperscaler capex rising to nearly US$1.08 trillion in 2027
· Reuters (via Investing.com)
Microsoft, Alphabet, Amazon, Meta Platforms and Oracle are expected to spend a combined US$795 billion on capital expenditure in 2026, rising to nearly US$1.08 trillion in 2027, against total AI spending of nearly US$800 billion in 2026
42% would expand existing AI workloads if token prices fell 25% or more
· CIO Dive
42% of surveyed executives said they would expand existing AI workloads if token prices fell 25% or more, while only about 10% of workloads need advanced frontier-level reasoning
