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AI consulting

What to build with AI. And whether to build it at all.

A short, practical assessment of where AI would help your product or operation and where it would not. It is done by the engineers who would build it, and it ends in a written recommendation you can act on with us or with anyone else.

Is this the right service?
  • Use-case assessment
  • Data readiness
  • Build or buy
  • Pilot plan
How an assessment runs
  1. Your workflow

    We look at the task, the people and the data as they are.

  2. Assessment

    Feasibility, risk, rough cost and whether a ready-made tool would do.

  3. Recommendation

    Go, wait or do not build, with a scoped first step if it is a go.

“Do not build” is a valid outcome.

01 / Is this the one

Is an assessment what you need?

Consulting is for the stage before a build. If you already know what you want, skip it.

The right choice when

  • You have several AI ideas and need to know which is worth building first.
  • A vendor or an internal team has proposed something and you want a second opinion.
  • You are unsure whether to buy a tool or build your own.

Look elsewhere when

  • You already know exactly what to build. Go straight to that service.
  • You need a legal or regulatory opinion. We are engineers, not lawyers or compliance assessors.
  • You want a long strategy document. Our output is short and written to be acted on.

02 / What the work covers

A recommendation you can act on, with or without us.

The output is a short written report. It includes the ideas we advise against and why.

  1. 01

    Workflow and data review

    Conversations with the people who do the work, and a look at the data and systems involved.

  2. 02

    Use-case shortlist

    Each idea rated for value, feasibility and risk, including the ones we would drop.

  3. 03

    Build or buy

    Where an existing product would do the job, we say so and describe the kind of tool to look for.

  4. 04

    Pilot plan

    For the strongest case: scope, success measure, data needed, a cost range and what would make us stop.

03 / Limits and risks

What an assessment can and cannot tell you.

We may advise against it

Some problems are better solved with ordinary software or a change of process. If so, the report says that.

An assessment is not a guarantee

Whether a model performs well enough on your data is only proven by testing it on your data.

Estimates are ranges

Costs and timelines at this stage are indicative. A fixed quote needs an agreed scope.

04 / Built and operated by NSDBytes

FocusPulse: the AI product we build and run.

Our own AI product. India market news as short briefings on Telegram and Web Chat, each story linked to the listed company, commodity, index or currency it concerns. It shows that the people advising you build and operate an AI product themselves.

500+
articles read a day
30+
business and markets publishers
4
public MCP directories
Public MCP serverFree beta

https://mcp.focuspulse.pro/mcp

Add this address to Claude, Cursor or any MCP client.

Tool
search_stories · One read-only tool
Covers
India and US stories from the last 48 hours
Access
No account or key
Read the MCP documentation (opens in a new tab)
What this does not show

A client project. FocusPulse is one product in one field, and we have no published case study for a consulting engagement.

05 / What to do next

Price it, compare it or talk it through.

The first step is a free scoping call. Bring the AI ideas on your list, however rough. We agree which workflows to look at and send a written estimate.

A little clarity

Before an assessment begins.

What do we get at the end of an AI consulting engagement?

A short written report: the use cases we looked at, which to pursue and which to drop, the data and systems each one needs, the main risks and a plan for a first pilot. It is yours to use with us or with another team.

Do we have to build with NSDBytes afterwards?

No. The recommendation is written so that any competent team could act on it. If we think a ready-made product would serve you better than a custom build, the report says so.

Do we need our data in order before we start?

No. Finding out what state the data is in is part of the work. Poor or scattered data is a common reason an AI idea is not ready, and it is better to learn that before a build than during one.

Has NSDBytes done AI consulting for clients?

We have no published client case study for a consulting engagement, and we would rather say so. The advice comes from engineers who build and operate FocusPulse, our own AI product, and who build software for sectors such as hospitality and agriculture.

How much does an AI assessment cost?

It depends on how many workflows are in scope. The price is agreed after a free scoping call. If you already have a build in mind, the project cost estimator gives a range for it without a call.

Start wherever you are

Bring the AI ideas on your list.

We’ll help you sort the ones worth building from the ones worth dropping, and say so plainly.

Let’s talk about your project.

Just your name and email to start. Add a brief if you have one.

Nikunj, our Sales Head, replies within one business day.

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