How to Choose an AI Web Agency in Bangladesh: 7 Things to Check

Search for "AI web agency in Bangladesh" today and you'll get pages of near-identical claims: AI-first, AI-powered, AI-driven. Most of it means an agency added a chatbot widget to their existing web design service and updated their homepage copy. That's not a criticism of web design — it's a warning that the label "AI agency" has stopped meaning anything on its own.

If you're evaluating agencies to build something real — an AI-powered product, an automation layer, a system that needs to actually reason over your data — the label won't tell you anything. What you check will. Here are seven things worth verifying before you sign anything, in the order we'd check them ourselves.

Anyone can put a polished case study on a website. Far fewer agencies can hand you a working link to an AI product they built that real users depend on today. Ask directly: "What's a live product you built, and can I use it right now?" An agency that's actually shipped AI products will answer in seconds. An agency that's mostly done website work with an AI feature bolted on will pivot to talking about their process instead.

This single question filters out more agencies than any technical checklist. Building a chatbot demo for a pitch deck and operating a production AI system with real users, real edge cases, and real uptime requirements are two completely different skill levels.

By 2026, being findable by ChatGPT, Perplexity, and Google's AI Overviews matters as much as ranking in classic search — sometimes more, depending on your industry. Ask how the agency thinks about Answer Engine Optimization (AEO): structured data, entity consistency, and AI crawlability. If you get a confident, specific answer, good. If you get a reworded definition of SEO, that's a sign their "AI" expertise is mostly branding.

This matters even if you're not hiring them for SEO work specifically — it's a reliable proxy for whether they actually track how AI search is evolving, or just use the buzzwords because everyone else does.

An AI feature is only as good as the product around it. Wrapping an LLM API in a slick prompt doesn't help you if the surrounding application can't handle real user load, doesn't scale, or has no proper backend architecture behind it. Ask what their stack actually looks like — frontend, backend, cloud infrastructure, mobile if relevant — and how AI components integrate with it.

The agencies worth hiring can talk fluently about both sides: the AI/ML layer and the production engineering holding it up. If an agency can only discuss prompts and can't explain how they'd architect the system around them, you're hiring a consultant, not a product team.

Every agency says they communicate well during the sales call. The real test is asking specifics: How often do you get updates? Is there a single point of contact, or do you get bounced between people? What tools do they actually use — Slack, Jira, Linear — versus what they claim in the pitch?

Vague answers here ('we're very communicative, don't worry') are a bigger red flag than people expect. Specific answers — sprint cadence, named contact, tooling — usually mean the agency has actually run enough projects to have a real process, not just good intentions.

AI products need more post-launch attention than typical websites — models drift, usage patterns shift, and infrastructure needs to scale with adoption. Ask directly what support looks like after launch: is it a paid retainer, an SLA, or does the relationship effectively end at handover? Agencies that disappear after launch are common; agencies that have a real maintenance and monitoring offering are not.

If an agency can't describe their post-launch support model clearly, budget for the likelihood that you'll need to find someone else the moment something breaks in production.

"It depends on scope" is a fair first answer to a pricing question — it's not a fair final one. After a real discovery call, you should receive a proposal that breaks down what's included, what's not, and what the engagement model is: fixed-price, dedicated team, or milestone-based. If an agency keeps the conversation vague even after discovery, that's usually a sign the estimate will move significantly once work starts.

Clear, itemized pricing isn't just about cost certainty — it's a signal that the agency actually scoped your project carefully instead of pattern-matching it to a generic template.

Many agencies that win the deal hand the build to subcontractors or a junior bench you never meet. Ask plainly who will be on your project, what their backgrounds are, and whether the senior people on the sales call are the same people who'll write the code. This isn't about seniority for its own sake — it's about making sure the expertise you evaluated during the pitch is the expertise actually building your product.

None of these checks require special access or insider knowledge — they're just the questions most buyers skip because the sales conversation feels good and the website looks polished. The agencies that pass all seven are rare, and that's exactly why it's worth the extra hour of due diligence before signing anything.

Webry Technologies is a Dhaka-based AI web agency with a decade of engineering experience, 50+ shipped projects, and live products you can use today — KaloxAI, Urooai.com, and UniVoiceAI among them. We'd rather you run this exact checklist on us than take our word for it.