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AI consulting services

Krikir's AI consulting services help founders pick the AI work worth doing and end in a go or no-go.

Fixed quote after one callReply within one working day

Example: six ideas in, one decision out

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What AI consulting services give you

AI consulting is paid help to decide where AI is worth using, which job comes first and what could go wrong. AI consulting services suit a firm with several ideas and no AI lead, and you should skip them when one clear task, examples and an owner are already in hand.

Scored use case list

Every idea gated, then scored on value, data, risk and effort, with a written reason for each score.

Data readiness check

For the top ideas: where the data lives, who can reach it, how clean it is and whether you may use it.

One-page risk register

What can go wrong, who is affected, who owns it and what you will do. Rules that may matter are flagged for your lawyer.

Staff AI rule

One page your people can follow today: approved tools, data that stays out, and who to tell.

Go or no-go

One of three exits: stop or wait, buy a tool, or build one thing, with a fixed quote for the next step.

Do you need AI consulting at all?

Match the size of the help to the size of the decision. Our own row states its weakness too.

Option Right when Keep in mind
Do it in-house

One clear task, someone with time and technical judgement, and AI features in tools you already pay for.

Nobody outside challenges the idea, and data and risk checks get dropped when the team is busy.

A big consultancy

Many countries or business units, board-level change, or heavy regulation.

Advice and build are often separate contracts.

A studio that also builds, like Krikir

Several ideas, no AI lead, and you want a decision from people who know what a build involves.

A studio has a reason to suggest a build, so ask for no-go criteria in writing.

A small pilot

One task, data in hand and a named owner. Go to the matching build page.

It tests one idea and cannot tell you whether it was the right idea.

A lawyer or governance specialist

AI touches hiring, credit, health, education or legal rights, or you want ISO/IEC 42001 certification.

This answers the legal question. It will not tell you which task to build first.

A sample use case sheet

This sample describes an invented online store and is not from a client. Scores run from 1 to 5, and 5 means low for risk and effort.

Use case sheet and risk line Sample
Order status answers Value 4, data 5, risk 4, effort 4. Go: test the helpdesk's own feature first.
Stock forecast Value 4, data 2, risk 4, effort 2. Wait: sales history is split across two tools.
Automatic refunds Value 3, data 4, risk 1, effort 3. No-go: a mistake costs money and trust.
Risk line A wrong delivery date reaches a customer. Owner: support lead. Action: a person checks first.
Staff AI rule Approved tools named, customer data stays out, one person to tell.
Decision Buy one tool, fix the data, stop the third idea.

Talk it through on a call

We look at what you have now and what you want it to do.

You hear how we would approach it and who would work on it.

You get a fixed quote in writing after the call, with nothing to sign until you are ready.

How AI consulting runs

Founder and CEO Krishnkant Patidar leads the work with AI and ML developer Deepak Patidar, who brings ten years in this field. Earlier client work stays under NDA, so the sample above shows the method. Call times show in your own time zone.

Agree the question

One call sets what must be decided, who owns it on your side and what would count as a stop. The fixed quote follows.

You approve the question

Collect the ideas

Ideas come from your team and from reading how the work really runs. You need a business problem, and you do not need an AI idea.

Your team adds and removes ideas

Gate and score

Each idea needs a real task, a named owner and a clear limit on what software may do alone. A low data or risk score can stop an idea, however high its value.

You challenge every score

Check data and risk

For the top ideas we check data access and quality, list what could go wrong and name an owner for each risk.

You grant access and review risks

Decide together

We walk through the sheet with your team. You leave with one exit, and each action has a name beside it.

You make the decision

How we keep the advice honest

A studio that also builds has a reason to suggest a build, so these go in writing.

No-go is a normal result

Stop criteria are written before scoring starts, and a no-go is delivered like any other answer.

Documents work with any builder

The sheet and the next step are written so that another team could pick them up.

Skip us when you can

If a tool you already pay for has the feature, turn it on first. If one task is clear, go straight to a build.

No legal advice

We record which rules may matter and flag them for your lawyer. We give no legal opinion, no certificate and no promise of compliance.

One owner per action

Every action names a person on your side, so the work carries on when the consulting ends.

What you keep

The scored use case list, with reasons
The data readiness check
The one-page risk register
The staff AI rule
The decision and the next step
All transferred to you on final payment, under the contract

Rules that may apply

As of November 2026. This summary is not legal advice.

European Union

The AI Act's transparency duties have applied since 2 August 2026. High-risk rules for uses such as hiring and education now apply from 2 December 2027. Firms using AI must take measures to support their staff's AI literacy.

United States

NIST's AI Risk Management Framework is voluntary. Colorado's replacement law takes effect on 1 January 2027, and rules differ by state.

United Kingdom and Canada

The UK has no single AI act, and existing regulators apply. Canada has no federal AI statute, and its courts and tribunals still apply existing law to what a chatbot says.

Australia

Government guidance sets out six essential practices for adopting AI, including human control. The government plans to legislate AI standards in early 2027.

The Gulf

The UAE has an AI charter, and Saudi Arabia's SDAIA publishes AI ethics principles and guidance. Personal data laws apply alongside them.

Where a go decision leads

Questions before you book

What you receive and when to skip us.

Krishnkant Patidar
Talk to our founder Krishnkant Patidar, Founder and CEO
Book a 30-minute call

AI consulting with Krikir ends in five short documents: a scored use case list, a data readiness check, a one-page risk register, a staff AI rule and a go or no-go. Each action names an owner on your side. The sample on this page shows the form they take.

Yes: a no-go is a normal result of AI consulting at Krikir. We also build, which gives us a reason to suggest a build, so stop criteria are written before scoring starts.

Skip AI consulting when you have one named task, real examples and a person who owns the result. Try the AI features in tools you already pay for first.

No: AI consulting from Krikir gives no legal advice and promises no compliance. We record which rules may matter and flag them for your lawyer. As of November 2026, the EU's high-risk rules for uses such as hiring and education apply from 2 December 2027.

A short rule now makes sense if staff already use AI tools. It names approved tools, the data that stays out and who to tell, and it does not need a large programme.

AI consulting has one fixed quote, given after one call. The number of ideas in scope, the teams involved, how much data must be reviewed and the regions you sell in all move the quote.

Let's talk about your next project

Book a 30-minute call or send a brief. A founder replies within one working day.