Most companies buying AI development will eventually consider an offshore team. The price difference can be significant enough to make it an obvious option.
But there is usually another question sitting in the back of the buyer’s mind:
How do I know the quality will be good?
Most buyers have that concern. They just don’t always say it directly.
We understand why.
Gigaflop TechLab is based in India, and we build AI systems for domestic and International companies. So yes, we have a clear interest in this conversation.
But that is exactly why we think it is worth having it honestly.
The usual ways buyers try to evaluate an offshore AI company don’t tell them nearly enough. And that hurts good suppliers just as much as it protects buyers from bad ones.
Why the Usual Checks Don’t Tell You Enough
Start with the portfolio.
A portfolio can show you what a company says it has built. It doesn’t tell you whether the system worked reliably in production, whether the client actually used it, or whether the code was maintainable six months later.
You also won’t see the projects that went badly.
Testimonials have the same problem.
An anonymous quote from an unnamed executive doesn’t give you much to verify. A real client who is willing to spend 15 minutes telling you what it was actually like to work with the team is much more useful.
Then there is team size.
A company might say it has 100 engineers. That doesn’t tell you anything about the two people who will actually work on your project.
Ask who they are.
Talk to them.
Find out what they have built.
Certifications can be useful too, but they shouldn’t be treated as proof that a particular team can deliver your AI project. A certification tells you that a company or individual meets a defined standard. It doesn’t tell you whether they will make good technical decisions for your specific problem.
So what should you actually check?
Five Better Ways to Evaluate an Offshore AI Development Partner
1. Ask for time-zone overlap in hours, not adjectives
“We work with US clients” doesn’t tell you much.
Ask for something specific.
For example:
“Our engineering team is available from 9 AM to 2 PM Eastern every working day.”
Now you have something you can evaluate.
AI development involves constant questions, feedback, testing, and decisions. If there is no meaningful overlap between your team and the people building the system, simple decisions can take a day instead of an hour.
Don’t just ask where the team is located.
Ask:
When can I actually talk to the people building my system?
2. Ask to see working software every week
Not slides.
Not a status report.
Working software.
And whenever possible, have the engineers who built it show you what they have done.
You don’t need everything to be polished. In fact, early work shouldn’t be polished.
You want to see progress.
Are they solving the right problem?
Are they responding to feedback?
Are they finding problems early?
Are they being transparent about what isn’t working?
A weekly demo creates a feedback loop while there is still time to change direction.
If a supplier is uncomfortable showing working progress, ask yourself why.
3. Start with a small paid project
You don’t have to commit to a six-month AI development project on the first conversation.
Start smaller.
A two or three-week paid discovery, technical assessment, or prototype can tell you a surprising amount about a team.
You’ll learn how they:
- Understand your requirements
- Handle ambiguity
- Communicate
- Make technical decisions
- Respond to feedback
- Handle problems
- Document their work
Most importantly, you’ll discover how they behave when something doesn’t go according to plan.
That’s something you can’t learn from a sales presentation.
A small paid engagement gives both sides a chance to test the relationship before making a much larger commitment.
The Better Question to Ask
The offshore question is usually:
“Can I trust a team I can’t physically see?”
We think there is a better question:
“Can this team give me enough visibility that I don’t have to rely on trust alone?”
You should be able to see the work.
Talk to the engineers.
Review the code.
Understand the data flow.
Test the relationship on a small project.
And know what happens when something goes wrong.
If a vendor can give you that visibility, working across borders becomes much less complicated.
“Buyers ask us about time zones and rates. They almost never ask to see the code, and that’s the thing that would actually tell them whether we’re any good.”
Siddharth Mishra, CEO, Gigaflop TechLab
If you’re considering an offshore AI development partner, don’t just take our word for it.
See how we approach AI development, consulting, and production-ready AI systems.
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