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AI Chatbot Development Services

Chatbots that are customized to draw their answers from your data, act via your systems, and transfer the conversation smoothly — whether on your website, in your app, on WhatsApp, or within your internal tools. They are grounded, have been evaluated, and are designed to resolve conversations rather than avoid them.

Sound familiar?

When this is the right answer.

Your scripted bot dead-ends people

Customer service bots based on decision trees annoy customers into saying 'agent, agent, AGENT' – deflection is not resolution.

A raw LLM bot is a liability

Inserting a model into a chat environment without providing it with grounding leads to the spread of confident nonsense under the name of your brand.

The queue keeps growing

The same questions, 24 hours a day, in a number of languages — even though the answers remain unread in your documents.

Capabilities

What we build.

Grounded, custom chatbots

Assistants that respond only from your approved knowledge base, with traceable references behind every answer — and that say they don't know rather than make up information.

Every channel that matters

Whether on the website through widgets, within the app, on WhatsApp Business, or on internal platforms such as Slack or Teams, there is one central brain providing consistent answers everywhere.

Backend actions, not just answers

The bot carries out the actual actions regarding order inquiries, bookings, and account changes via your systems, within the permissions that you have set.

Multilingual by design

We hold conversations in your customers' various languages while maintaining a consistent brand tone, with the evaluation being done on a per-language basis, not just based on translation.

Human handoff done right

When the bot's confidence is low, the conversation is escalated to live chat or a ticket with all the relevant context included, so customers never have to repeat themselves.

Evals & continuous tuning

Before each release, a test suite composed of real conversations is used, and after the launch production monitoring ensures that quality remains visible.

Use cases

Where this earns its keep.

Customer support resolutionLead qualificationE-commerce assistanceInternal IT/HR helpdeskOnboarding guidanceFAQ deflection→resolution
The SoftmaxAI Method

Every engagement runs spec-first, agent-accelerated, human-owned.

01 / SPECSpec

A written specification that has been approved by the client prior to any coding taking place — covering the architecture, the edge cases, and the acceptance criteria.

02 / BUILDBuild, with agents

The engineers arrange for the AI agents to carry out the specification in parallel, taking weeks rather than quarters.

03 / VERIFYVerify

The evaluations, tests, and security checks are carried out together with the build, and humans examine every decision that is important.

04 / SHIPShip & improve

The system has been deployed to your GCP or AWS, complete with monitoring, production evaluations, and retraining loops.

Part of a bigger practice

AI Chatbot Development is one discipline within our AI Chatbots & Voice AI practice.

Explore the parent service for the full capability set, or go straight to a conversation about your use case.

Explore AI Chatbots & Voice AI →
FAQ

Questions, answered.

Why build custom instead of using an off-the-shelf chatbot builder?
Builders are fine for FAQ deflection. Custom pays off when the bot must act through your systems, meet a measured quality bar, respect complex permissions, or carry your brand in multiple languages — that's integration and evaluation work no template covers.
Will it learn from our data? Is our data safe?
It answers from your data via retrieval — your content grounds every response — and deploys in your own cloud tenant. Your data is not used to train public models.
How do you stop it from making things up?
Grounded generation from approved sources, refusal behavior for out-of-scope questions, and an evaluation suite built from real customer conversations that must pass before every release.
How long does a chatbot project take?
Most ship a production assistant in weeks: spec first, then an agent-accelerated build with weekly demos. The spec stage gives you the exact timeline before you commit.
Can it hand over to our human team?
Yes — escalation design is part of the spec: confidence thresholds, full-context handover to your live chat or ticketing system, and clear user messaging about when a human takes over.
Start here

Have an AI idea? Let’s pressure-test it — free.

A 30-minute call with our engineers, not a salesperson. You'll receive an honest assessment of feasibility, a preliminary architecture, and a clear next step.