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MnT Future
AI consultation

AI consultation for Indian businesses

What is genuinely worth doing with AI in your business, whether your data can support it, and what reaching production would actually cost. It ends with a costed path, not a maturity score.

01Costed path to production
02Data readiness assessed
03Honest no when it is no
041 to 2 weeks

Most AI advice is a document nobody can act on.

You can buy a strategy deck, a maturity assessment and a roadmap from any consultancy in the country. What none of them tell you is whether your data will actually support the thing they recommended, and what it costs to run it in production. That is the part we do, because we are the people who would then build it.

What we build01 / 03

What a consultation covers

01

The data you actually have

Not the data on the architecture diagram. Where it lives, what state it is in, and whether it can support what you want to do.

02

The use case behind the ask

Usually there is a business problem underneath the AI request, and sometimes the best answer to it is not AI at all. We will say so.

03

What working would mean

How you would know the system is right, defined in numbers before anybody builds. Skipping this is how projects end in arguments.

04

What it costs to run

Not just to build. Token spend, infrastructure and the engineering time to keep it accurate, sized for your volume.

05

Governance and risk

Where your data may go, what has to stay on your infrastructure, and what your compliance team will ask before this goes live.

06

A path you can price

Phases, what each delivers, and what each costs. Enough to take to a board rather than a document that ends in recommendations.

Why MnT Future02 / 03

How a consultation runs

One to two weeks, fixed fee. Paid, because a free assessment is worth what you pay for it.

01We talk to the people doing the work, not only the people sponsoring the project. The gap between those two accounts is usually where the truth is.
02We look at real data and real volumes rather than a schema.
03We build a small proof where one is cheap and settles an argument, and we say so when one is not worth building.
04You get the costed path in writing, including the option of not doing it.
05If we build it afterwards, this is stage one of the same method. If you build it yourselves or with somebody else, the document still works.
How we engineer compliance
How we work03 / 03

Discovery, build, certify, scale.

A senior-led delivery model built for revenue-critical commerce: predictable and transparent.

01

Discovery

We map the workflow, the constraints, and the compliance surface before a line of code.

02

Build

Senior engineers ship in two-week sprints. You see working software, not status decks.

03

Verify

Security and compliance are tested as we go (ADA/WCAG, PCI DSS, SOC 2 controls), never bolted on at the end.

04

Scale

We harden, instrument, and hand over, or stay on as your embedded product team.

FAQ

Questions buyers ask us first

Because a free assessment is a sales exercise with a predictable conclusion. Paying for it means we are working for you rather than for the follow-on contract, and it means we can tell you not to build the thing.

A written assessment of your data and use case, a definition of what working would mean in numbers, an architecture direction, a phased plan with costs, and a clear recommendation including whether to proceed.

No. The document is yours and it is written to be usable by anyone. Plenty of clients take it to their own team.

One to two weeks for most engagements. Longer if the data is spread across many systems, and we will tell you that before starting rather than halfway through.

Next step

Start with the problem, not the technology.

Tell us what is slow, expensive or error-prone in your business today. A senior consultant will tell you whether AI is the right tool for it, and what it would take to reach production if it is.