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Service · Aarohii AI Solution Private Limited

AI consulting & strategy

AI consulting here means a written view of where AI is worth the spend—and where it is not—before anyone trains a model or signs a vendor.

What the service is

Companies search for an AI consulting company when they have pressure to "add AI" and no shared definition of success. We run a short engagement: interviews, a current-system map, opportunity ranking, risks, and a 12-month roadmap you can take to a board or a build team.

The deliverable is a document someone can disagree with. That sounds modest, and it is the point: a roadmap that cannot be argued with is a roadmap nobody has read. Each opportunity carries the data it needs, the operator time it saves, the risk it creates, and the test that would prove it worked.

Problems we actually solve

• Ten AI ideas, with no ranking by risk, data availability, or operator time.
• A vendor demo that cannot be tested against your own documents or tickets.
• No owner for evaluation, rollback, or support after a pilot.
• A pilot that worked once, in a meeting, and has never been run since.
• Data the team assumed it had rights to use, and does not.

How the engagement is structured

Interviews with the people who do the work, not only the people who sponsor it — the exceptions that make a process expensive are usually invisible one level up. A map of the systems that already hold your data, because most AI opportunities are blocked by integration rather than by models. Then ranking: volume, reversibility, data rights, and whether anyone will review the output.

The roadmap that comes out sequences work so the first item is small, checkable, and useful on its own. A first project chosen for visibility rather than for tractability is the most common way an AI programme dies quietly.

Governance, at the size that gets followed

Our consulting work includes a light governance pass: a named owner per AI feature, a written policy for high-impact or irreversible actions, and clear ownership of the eval set. Three pages people follow beat a framework nobody reads.

We do not sell a certificate. Detail: what AI governance covers · security & trust.

How Aarohii works

Fit call first. If we proceed, you get a written plan: what we will do, what we will not do, and how we will know it worked. We do not sell a generic transformation slide deck.

When not to hire us

If you already know the workflow, hold the data rights, and only need extra hands on a scoped build, skip consulting and go to generative AI development. If the honest answer is "do not add AI," we will say that — see when not to add AI. And if the real problem is that a process was never defined, a consultant who agrees to automate it anyway is selling you the expensive version of the same confusion.

Next: all services · build vs buy.

How an engagement runs

1. 20-minute fit call — we say yes or no.
2. Written plan — scope, success tests, and what we will not do.
3. Build with evaluation hooks and weekly demos you can inspect.
4. Support after launch — we stay for the messy month, not just demo day.

Open the proof without an NDA: PixellPeep, Captverse, Auvora, ViraQueue. Buying notes: what drives cost · how to choose a company.

Questions