Doing AI
Company

Businesses won’t win
because they use more AI.

They’ll win because they become more intelligent. That is an engineering problem, and it is the only one we work on.

Our perspective

Artificial intelligence is changing software. But software alone does not change an organisation. Operational change happens when intelligence becomes part of ordinary work.

Strategy for this is cheap and getting cheaper. The scarce thing is an engineering team that will write the description down accurately, connect it to what you actually run, and remain accountable once it is live and something breaks on a Sunday.

We are also not, in the long run, an AI company. Intelligence is what this work takes right now; in a few years it will take something else, and we will build with that instead. The part that does not change is making the thing run in production, on an ordinary Tuesday, with nobody watching a demonstration.

Standards

Where we hold the line.

Everything else is negotiable. These are not.

We do not run pilots.

A pilot that never ships is a cost with a friendlier name. If we cannot see the path to production, we say so before you pay us anything.

We do not deliver documents.

You receive working software running in your own accounts, documented, with your data exportable at any time — not a set of recommendations.

We do not replace what works.

Your CRM, your spreadsheets, the ERP you are committed to: they stay. We build against the stack you have already paid for.

We do not hand you to a delivery team.

The people on the first call write the code. There is no account layer between you and the engineering.

We do not automate work that should not exist.

Some of it should be removed, not made faster. Saying which is which is part of the engagement, including when it makes the engagement smaller.

Accountability

Who is on the hook.

“Companies kept paying for AI strategy and receiving slides. The technology was ready. What was missing was someone who would build it, wire it into what they already ran, and stay accountable once it was live.”

Nithish Singh — Founder, Doing AI

Doing AI is a small engineering team by design. The people on your first call write the code and operate it afterwards. There is no advisory layer and no handover to a delivery organisation.

It is fair to ask what a small team means for continuity. Everything we build runs in your accounts, documented, and the description of your institution is data you already hold — not something locked inside our systems. Continuity is written into the agreement rather than left to trust.

Founded

By Nithish Singh. Based in Hosur, Tamil Nadu, India; engagements run remotely and on site.

Contact

hello@doingai.in — a person replies, usually within one business day.

Tell us what your week looks like.

Thirty minutes. We will tell you what we would build first, roughly what it costs, and where this will not help.