When not to use AI
When not to use AI
Some tasks are better solved with a rule, a better form or a small process change. Here is how we spot them, and how we say so during a pilot.
Blog
When not to use AI
Some tasks are better solved with a rule, a better form or a small process change. Here is how we spot them, and how we say so during a pilot.
What a 10-day pilot actually delivers
Ten working days sounds short for AI work. Here is what happens on each day of our pilot, what you have at the end, and what ten days can't do.
Keeping your data in the UAE
"Our data can't leave the UAE" is the first thing most security teams tell me. In AI work that one sentence hides three separate questions: where data is stored, where the model runs, and who can see it.
AI and UAE e-invoicing
E-invoicing will turn most supplier invoices in the UAE into structured data. That changes where AI is useful in accounts payable, and where plain rules do the job better.
We tested Claude, OpenAI and open models on your work. Here's how.
There is no single best AI model. There is the model that does your task well enough, at a cost you can live with. Here is how we build a scorecard from your real cases to find it.
Why AI pilots stall
Most AI pilots don't fail because the model is weak. They stall in five gaps between a demo and a system people rely on. Here is how to spot each one in your own pilot.
Introducing Skcript Applied Labs
A personal note from Karthik Kamalakannan, Founder and CEO of Skcript, on why we are launching Skcript Applied Labs: one task, your own numbers, every model tested on your cases, and a working first piece in 10 days at a fixed price.
Cost per task, not cost per token
AI prices are quoted per token, but your business pays per finished task. Here is how I think about the real cost of AI work, and how we measure it in a pilot.
Do we need to fix our data first?
It is the most common reason I hear for waiting on AI. For most real work, a set of real examples is enough to start. Here is why, and what we actually need.