Technology
Trusted By Industry Leaders
Internal and external AI
AI your developers use
Claude Code, Codex and Gemini CLI, measured through Pulse with no SDK to install. Spend and sessions per developer, usage by team and weekly insights.
AI you build into your product
The models behind your customer features, tracked as cost of goods. Cost per feature, agent and customer, spend by provider and the margin on each.
A view for every division lead
Cost attributed to every department and team, so each lead sees what they used, with coding tools and product AI side by side, month over month.
The questions you face
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
Your playbook
The technology team governance playbook
The approved list, internal versus external AI, and the report each division lead should get every month.
The 2-minute check
Ten questions. Every "I don't know" is a finding.
No email needed. The first five are written for your role. The last five are the same for everyone.
[ 1 ]
How many people in your company use AI tools at work today?
[ 2 ]
Does your approved AI list match what people actually use?
[ 3 ]
How many of your enterprise applications have AI switched on?
[ 4 ]
Do you know where the models behind your own product run, and who pays for them?
[ 5 ]
How much bring-your-own AI is in use inside the walls?
[ 6 ]
Do you know what your AI features and tools cost last month, in dollars?
[ 7 ]
Have you had a surprise AI bill or usage spike in the last six months?
[ 8 ]
Does the AI spend number on your dashboard tie to your actual provider invoices?
[ 9 ]
If a team, an app or a customer account went over budget today, would anything alert you?
[ 10 ]
Is AI cost showing up in your board decks, security questionnaires or diligence requests yet?