How to choose an AI and digital partner for your business: a buyer's checklist

Choosing who to work with on AI, your website or your marketing is a bigger decision than it looks. The right partner saves you time and grows the business. The wrong one leaves you with a half-finished project, systems nobody understands, and a contract you cannot easily leave.

The market is also noisy. Almost every agency now says it “does AI”, and it is hard to tell genuine capability from a new label on old services.

This checklist is designed to help business owners and managers in India, and anywhere else, ask the right questions before signing anything. It applies whether you are hiring an agency, a freelancer or a product studio, and yes, you should use it on us too.

Before you talk to anyone: get clear on what you want

The most common reason projects go wrong is not the partner. It is an unclear goal. Before you speak to anyone, write down:

• The problem, in business terms. Not “we need a chatbot”, but “customers wait hours for replies on WhatsApp and we lose enquiries after 7 pm”.
• What success looks like. Faster replies, more qualified leads, fewer hours on data entry, a website that brings enquiries. Pick one or two things you can actually observe.
• Your constraints. Timeline, internal people who can help, systems you must keep, and a realistic budget range.
• Who decides. Know who signs off on scope, content and launch on your side.

A good partner will help you sharpen this. But if you cannot explain the problem in two sentences, no proposal will fix it.

The checklist: questions to ask a potential partner

1. Do they start with your problem or with a product?

Listen to the first conversation. A good partner asks about your customers, your team, your current tools and where time or money is being lost. A weak one jumps straight to a solution they already sell.

Ask: “Based on what I have told you, what would you not recommend we do?” A thoughtful answer is a very good sign.

2. Can they explain things in plain language?

If you leave a call more confused than when you started, that is a warning. You should understand what will be built, how it will work, and what you will need to do. Jargon often hides uncertainty.

Ask: “Explain how this would work as if I were explaining it to my team.”

3. Can they show relevant work, and let you look closely?

Portfolios are easy to polish. What matters is whether they have done work similar to what you need and can walk you through it: the problem, what they built, what changed, and what they would do differently.

Ask: to see live examples, not only screenshots, and how they approached a project like yours. If a partner is newer, ask them to show their process on a small paid pilot instead.

4. Is the scope written down clearly?

A good proposal states exactly what is included, what is not, what you need to provide, and what happens if requirements change.

Look for: a list of deliverables, a timeline with milestones, assumptions, and how changes are handled. Be careful with vague phrases like “end-to-end digital transformation” with no detail underneath.

5. Who owns what at the end?

This is one of the most important questions and one of the least asked.

Ask:

• Who owns the code, designs and content?
• Are the domain, hosting, analytics, ad accounts and software subscriptions in our name?
• Will we get admin access to everything?
• If we part ways, what do we receive and how?

You should own your accounts and your assets. A partner that keeps your domain, ad account or code in their name gives you very little room to leave.

6. How do they handle your data?

Any AI, website or marketing project touches customer data. In India, the Digital Personal Data Protection Act sets out obligations around consent, purpose and security when businesses process personal data.

Ask:

• Which tools and providers will process our data, and where?
• For AI tools, is our data used to train public models? Can that be switched off?
• Who on their team will have access, and how is access removed later?
• How will consent be collected on forms, WhatsApp and other channels?

A partner should answer these clearly and put the important points in writing.

7. Are they honest about what AI can and cannot do?

AI is powerful, but it is not magic. Be wary of promises that it will “run your business”, “replace your team” or “guarantee” any particular result.

Good signs: they talk about accuracy, testing, human review, edge cases and what happens when the AI is unsure. They suggest beginning with something small.

Ask: “What could go wrong with this, and how would we know?”

8. How will you measure success?

You should agree before the project starts how you will know it worked. For a website, that might be enquiries and conversion tracking. For marketing, leads and their quality, not just impressions. For AI automation, time saved or response times.

Ask: “What will you measure, how, and how often will we review it together?” Then make sure tracking is set up before launch, not after.

9. What does communication look like?

Many projects fail quietly through poor communication rather than poor skills.

Ask:

• Who is our day-to-day contact?
• How often will we get updates, and in what form?
• How quickly do you respond to issues after launch?
• What happens if the person working on our project leaves?

10. What happens after launch?

Websites need updates, campaigns need optimisation, and AI assistants need their information reviewed. Ask what support looks like after launch, whether it is included or separate, and what your own team will be able to do independently.

Look for: training for your team, written documentation, and a clear handover. You should never be stuck because only one outside person knows how something works.

11. Do they write useful, honest content?

If the partner will write for your website, ads or social media, read what they have published for themselves and others. Is it clear and useful, or generic filler? Search engines reward content that genuinely helps people, as Google explains in its guidance on helpful, people-first content.

12. How do they price and contract the work?

Pricing models vary: fixed price for a defined scope, monthly retainers for ongoing work, or time-based billing. None is automatically better.

Ask: what exactly is included, how changes are handled, what the payment schedule is, and how either side can end the agreement. Make sure third-party costs such as ad spend, hosting, software and API usage are listed separately, so there are no surprises.

Red flags to watch for

• Guaranteed rankings, leads or revenue. Nobody controls Google, Meta or your market.
• Pressure to sign quickly with “limited-time” discounts.
• No written scope, or a scope that is mostly buzzwords.
• Your accounts in their name: domain, hosting, ads, analytics or code.
• No talk of testing, review or data handling on an AI project.
• Long lock-in contracts before you have seen any work.
• Every problem has the same answer, usually the product they sell.

Start with a small, well-defined first project

The safest way to choose a partner is to work together on something small first. A good pilot is:

• Narrow: one workflow, one landing page, one campaign or one assistant.
• Measurable: you agreed beforehand what success looks like.
• Short: weeks, not months.
• Useful on its own: even if you stop there, you keep something valuable.

A pilot shows you how a partner thinks, communicates and delivers far better than any sales call. If it goes well, you expand with confidence. If not, you have limited your risk.

A one-page summary you can use

Before signing, make sure you can answer “yes” to these:

• We have written down the problem and what success looks like.
• The partner asked good questions and explained things clearly.
• We have seen relevant work or agreed a small pilot.
• The scope, deliverables, timeline and assumptions are in writing.
• All accounts, code and content will be owned by us, with admin access.
• Data handling and consent are explained and agreed.
• We know how success will be measured and reviewed.
• Communication, support and handover are clear.
• Third-party costs are listed separately.
• We can end the agreement on reasonable terms.

Working with us

We built our own process around the same principles: a free strategy call to understand the problem, a written proposal with a clear scope, everything set up in your name, training and documentation at handover, and a small first project where that makes sense. You can see the shape of our packages and how we approach AI adoption, web development, SaaS development and digital marketing.

If you would like a second opinion on a proposal you have received, or want to talk through your own project, book a free 30-minute strategy call. Or start with our two-minute AI readiness audit to see where AI could help most.