AI tools are bought team by team. Nobody sees the total.
Adoption moved faster than oversight. Here is what that usually looks like inside a company, and a quick way to size your own exposure.
The problem
Most companies adopting AI cannot see the full picture.
These are the patterns an AI spend review is built to surface.
No one owns the full picture
Marketing bought Jasper. IT bought Copilot. Ops built an automation. Nobody has a complete list of what you are actually paying for.
No ROI visibility
Your CFO or board asks for proof of return on AI spend. You have no baseline data, no usage metrics and no answer.
Duplicate tools
Three teams pay for three tools that do the same job. Nobody noticed because nobody mapped the landscape.
Ghost subscriptions
Tools bought with enthusiasm months ago that nobody uses. The auto-renewal came and went, and money leaves your account every month.
Outputs nobody trusts
Your team uses the tool but spends much of its time fixing the output. The real cost is not the subscription. It is the hours of skilled people.
No internal objectivity
The person who championed a tool cannot easily report that it is not working. You need an outside view with no stake in the outcome.
Estimate your exposure
What do your AI tools cost each year?
Enter what you pay today, then set your own assumption for how much of it goes unused. This is a planning aid, not a prediction of what a review will find.
- Monthly AI spend
- ₹48,000
- Annual AI spend
- ₹5,76,000
- Unused per year at your assumption
- ₹57,600
The unused share is your own assumption. Sailoxx does not publish an average, and a review measures the real figure from your data.
Stop guessing. Start knowing.
Tell us what you are trying to solve. In 20 minutes we will map your situation and tell you which service makes sense, with no pressure and no pitch.
No credit card. No commitment. Just a 20-minute conversation.