Notes from the studio
Notes from the studio on building AI systems for owner-led businesses: how work actually moves through a company, where the hours and rupees leak out, what an AI operating system changes, and what we have learned putting agents into production. Written by Raghava Sreeram, published when there is something worth saying.
Latest
- · 5 min read
How we pick the first bottleneck worth automating
Most AI projects start by asking where AI could be used. That question has no bottom. Here is the one we ask instead, and the four tests a candidate has to pass.
- · 5 min read
Build, buy, or orchestrate
The AI capability question is usually framed as build versus buy. In practice most of the work is neither, and the framing itself is what causes companies to overspend.
- · 6 min read
Measuring AI ROI when the work is knowledge work
Factory automation has a unit you can count. Knowledge work does not, which is why most AI programmes cannot prove they worked. Here is how we make the impact measurable.
Book your free AI transformation audit.
Sixty minutes. We map one function of your business, show you where the time and the money are leaking, and hand you the business case — whether or not you build it with us.
What you walk away with
- A map of how one function really runs today
- The hours and rupees it is currently costing you
- A build sequence, priced and sequenced
- A clear answer on whether AI is even the right fix