Most chatbots exist to make a support queue look shorter than it is. They collect a few details, apologise, and hand the person off anyway. Akoode builds AI chatbots that actually resolve what they're asked, by connecting to your real order data, policies, and systems instead of running a fixed decision tree with a friendly avatar on top.
4.9
Google Rating
97%
Client Retention
15+
Industries Served
Global
Delivery
A chatbot that collects your details and still hands you to a human has not saved anyone any time. It has just added a step.
We build chatbots that check your actual order status, policy, or account data before answering, so a resolved conversation means resolved, not escalated with extra context attached.
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We build the conversation layer and the integrations behind it together, since a chatbot that talks well but can't check anything real is not actually useful.
Service 1 of 6: Custom AI Chatbot Development
A chatbot that understands the question is table stakes now. What separates a good one is what happens after it understands: does it check something real, complete an action, or just apologise well.
We build the conversation model and the systems behind it as one project, not two separate vendors' work stitched together. That's usually where the actual resolution rate comes from, not the model choice.
Chatbot technology moved past the decision-tree era faster than a lot of deployed bots did. Here is what's actually changed and what a bot built on 2024 assumptions is now missing.
The questions differ by industry, but the pattern holds everywhere: a chatbot only earns its keep once it can check something real and close the loop, not just talk convincingly.
We choose the framework and channel integrations based on where your customers already are and what the bot needs to check or do, not whichever platform is easiest to demo.
OpenAI API
Anthropic
LlamaIndex
Node.js
FastAPI
REST APIsMost chatbots that underperform were built backward: the conversation flow got designed before anyone mapped what customers actually ask about most. We start from the real conversation data.
Choose how you want to work with us. Every model includes dedicated engineers, full IP ownership, transparent communication, and direct access to the people building your chatbot.
Best for: scope that is already nailed down, and a price you want nailed down with it
Best for: products that will keep evolving long after version one ships
Best for: a skill gap today, or velocity you need by next sprint
Every chatbot we build starts with the same question: what should this actually resolve, not just talk about.
Key Outcomes
99.1%
Spine Detection Accuracy
98.4%
Chest Pathology Accuracy
Challenge
What We Built
Key Outcomes
Seconds
Scalp Analysis Speed
Real-Time
3D Simulation Output
Challenge
What We Built
A chatbot that sounds friendly but can't check a real order or process a real refund is a deflection tool, not a support tool. We build for resolution, and measure it.
Recognised by leading platforms, startup ecosystems, and global technology communities.
Practical thinking from the Akoode team on what makes a chatbot actually get used, and what makes people click straight through to “talk to a human.”
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Straight answers on timelines, team shape, security, and how we plug into your existing delivery process.
A chatbot is built around conversation: answering questions and, at best, completing a narrow action within that chat. An agent goes further, working through a multi-step task across tools and systems with less back-and-forth needed from the person. Most businesses start with a chatbot and expand into agent territory once specific workflows are clear.
It depends on the number of intents the bot needs to handle, how many systems it connects to, and which channels it needs to run on. We quote a fixed price after reviewing your actual support volume and use cases rather than a generic number.
A focused chatbot on one channel with a handful of core intents typically takes four to six weeks from discovery to launch. Multi-channel deployments with deeper system integration usually run eight to ten weeks.
Yes, we build on the WhatsApp Business API, which is often the strongest starting channel for India-focused businesses since customers already have it open.
Not automatically. A generative chatbot handles unscripted phrasing far better, but for a small, well-defined set of questions, a simpler flow can be cheaper to build and easier to audit. We'll recommend whichever fits your actual use case during discovery.
Yes, we build multilingual support directly into the bot rather than bolting on a translation layer afterward, which tends to produce awkward, literal responses.
Yes. We design a clear escalation path for anything outside the bot's scope, with the full conversation context passed along so the customer doesn't have to repeat themselves.
In most cases yes, through an API or a middleware layer if the system doesn't expose a clean one. We assess this during discovery and flag anything that will need extra integration work before quoting.
We scope access on a need-to-know basis, log every action the bot takes, and design the integration so it reaches only the specific systems and fields it needs, with DPDP Act requirements factored in for India-based deployments.
Yes. We set up conversation analytics at launch and offer ongoing tuning plans, since customer questions and phrasing shift over time and a bot that's never reviewed tends to drift out of step with what people actually ask.
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