How much does chatbot development cost?

It depends on the build. A scripted FAQ bot and an LLM agent with CRM integration sit at very different price points. We price by chatbot type, number of integrations, channels, and conversation complexity, then give you a free estimate against your actual scope.

How long does it take to build a chatbot?

A simple rule-based bot is typically a matter of weeks; an AI or LLM-integrated build with custom data and integrations takes longer. We give a timeline after the discovery call.

What's the difference between a rule-based chatbot and an AI chatbot?

A rule-based bot follows scripted decision-tree flows. An AI chatbot uses NLU and an LLM to understand free-form language and, with retrieval-augmented generation, answers from your own data.

Can you integrate a chatbot with our existing CRM and app?

Yes. We integrate via API with CRMs, help desks, payment systems, and internal services, with human-handoff where it's needed.

What platforms can a chatbot be deployed on?

Website widget, WhatsApp, Telegram, Slack, and in-app, as a single channel or omnichannel.

Do you build chatbots using GPT or LLM technology?

Yes. We're model-agnostic and select GPT, Claude, Gemini, or open-source models based on fit and budget.

How do you handle data security and privacy?

We scope data handling up front, what the bot can access, where data lives, and any compliance needs, and design retrieval and logging accordingly.

How do you maintain a chatbot after launch?

We monitor real conversations, retrain on gaps, and iterate, with an analytics and retraining cadence agreed per project.

Chatbot Development Services

Chatbot development is the process of designing, building, and deploying a conversational agent — rule-based, AI-powered, or LLM-driven — that talks to users in text or voice on a website, app, or messaging platform. Purrweb builds custom chatbots wired into your CRM, data, and internal APIs, usually as part of a broader custom software development or product build.

Chatbot ready in 1–3 monthsFree scoping in 48 hoursGPT / Claude / Gemini + RAG

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Our Chatbot Development Services

AI & LLM chatbots

Context-aware bots built on models like GPT, Claude, or Gemini, with retrieval-augmented generation (RAG) so answers stay grounded in your own data — knowledge bases, docs, and CRM records.

They fit customer support, onboarding, and internal ops — handling everything from simple FAQs to multi-turn queries, and reducing the load on your support team.

We connect them to backend systems through our AI integration services, so the bot acts on real data instead of canned replies.

Rule-based chatbots

Decision-tree bots with scripted, predictable flows. Fast to ship, cheap to run, and easy to control end to end.

A solid fit for FAQs, lead capture, and request routing when you don’t need open-ended conversation.

Chatbot integration & deployment

We plug the bot into the channels your users are on — website widget, WhatsApp, Telegram, Slack, or in-app — and into your stack: CRM, help desk, payments, and internal APIs.

Human-handoff is built in, so a conversation escalates to your team the moment it should.

Building a chatbot is AS SIMPLE AS 1-2-3

Schedule a call

After you fill out the form, our manager will contact you within 24 hours and arrange a call. If necessary, we are ready to sign an NDA.

At the meeting, we will get to know each other and discuss the project. We'll also talk about the approximate budget and deadlines.

Fill out the form

Dive into project details

After the first meeting, a business analyst will contact you for a mini-audit: gathering technical requirements and creating a portrait of the project's target audience. To do that, we'll talk about your project, what your goals and restrictions are, and look at positive and negative references.

Prepare and submit
an estimate

We prepare a detailed estimate and presentation, which includes cost, timeline, team, and project roadmap.

After that, all that's left is to sign the contract,and we'll get started on your project! Now, let's talk about what happens after the estimate.

Our chatbot development process

Business analysis

Result: Technical specifications and project plan

Average time frame: 1 week

After the initial call with the client, a business analyst joins the project. The analyst studies the business operations to understand the project goals and select the appropriate tools and AI models. Then, they translate business needs into measurable requirements.

System analysis

Result: chatbot build plan and list of resources

Average time frame: 2 weeks

Next, we move on to system analysis.

The analyst collects functional and non-functional requirements, as well as system constraints. Then, they determine whether the selected tools meet the requirements and how they will fit into the current infrastructure. They also identify what data will be needed for the tools to work.

UI/UX design

Result: Finished screens and a UI kit

Average time frame: 3-5 weeks

Designers study documents from the systems analyst and use mind maps to visualize the application structure.

Then, they develop wireframes, or black-and-white screens. After agreeing on the layouts with the client, they design 1-3 screens in color. If the client is satisfied with the result, the designers complete the remaining screens in the same style. Finally, they create a UI kit.

The design process takes place in Figma. We share the document with the client so that they can leave comments and suggestions.

Development

Result: chatbot ready for integration

Average time frame: 1-3 months

We follow the SCRUM and Agile methodologies, breaking down development into two-week sprints. This allows our developers to respond quickly to changes in the project and engage the client in the process.

We use the generative tools WindSurf and Cursor to improve code quality and speed up work.

QA testing

Result: Test report and fixed bugs

Average time frame: In parallel with development

We conduct testing at each development stage. The testers evaluate the application and chatbot quality. They also check the stability under high loads, such as large amounts of data or a high number of users.

Integration and support

Result: chatbot that receives regular updates

Average time frame: Depending on client needs

Developers deploy the chatbot to your channels and launch the infrastructure.

If necessary, we are ready to support the product after its release and make regular improvements.

Cost of chatbot development

A scripted FAQ bot and an LLM support agent with CRM sync are very different builds, so we price against your actual scope rather than a headline number. Cost is driven by chatbot type (rule-based vs. AI/LLM), the number of integrations, channels, and conversation complexity.

What a build includes:

Discovery & requirements

Conversation & UX design

Development & integration

CRM, API & channel integration

QA & testing

Deployment

Post-launch support & retraining

Get a tailored estimate

Tell us your use case and we’ll scope it — free, within 48 hours. Want the detail on what moves the number first? See our breakdown of chatbot development pricing.

Get a free estimate

Benefits of a custom chatbot

24/7 first-line support

Your chatbot answers common questions around the clock, so customers get help outside business hours without adding headcount.

Lower support load

By deflecting repetitive tickets — password resets, order status, FAQs — the bot frees your support team for the cases that actually need a human.

Faster lead capture

The bot qualifies and captures leads inside the conversation, routing hot prospects to sales and logging everything in your CRM automatically.

Grounded, on-brand answers

With retrieval-augmented generation over your own data, the chatbot answers from your knowledge base and stays on-brand — not generic model output.

Common Industries we’ve served

Fintech

We build chatbots for fintech software — customer support and automation of internal processes. The AI solutions will help reduce response times and minimize the workload of customer service.

Developers will launch a chatbot that can answer customer questions 24/7, help calculate loans, and submit service requests. It’ll also provide personalized advice based on client behavior and their financial history.

Healthcare

We build chatbots for the healthcare sector to structure data and reduce staff workload.

For example, doctors can quickly obtain a summary of a patient’s medical history and compile personalized treatment instructions. We can also set up a chatbot for preliminary diagnoses, providing patients with basic recommendations based on their symptoms. After the brief consultation, the system will schedule an appointment for the patient.

Logistics

Chatbots for logistics companies improve customer service and reduce operational costs.

For transportation companies, we’ll implement chatbots into existing systems. They’ll answer frequently asked questions and show delivery status updates. We can also integrate a route planning system that considers traffic jams, road construction, and weather conditions when building a route.

AI solutions can automate document flow. Invoices, bills, and customs declarations will be generated using templates and filled out automatically.

Education

We build chatbots for educational institutions to reduce the workload on teaching staff and personalize learning. This solution will boost engagement and improve student results.

Artificial intelligence can create lesson plans for specific topics, students, or classes. To avoid template-based approaches, the system will analyze student progress and generate corresponding assignments, quizzes, and tests.

We’ll also introduce an AI tutor that will answer students' questions, explain the material, and grade homework.

Fitness

Chatbots for fitness apps help improve the user experience, retain customers, and increase engagement.

For example, we can create a virtual trainer that generates personalized training and nutrition plans based on user goals, progress, and health conditions. A chatbot will offer advice on post-workout recovery and provide recommendations for the user's routine.

AI can also help identify clients who haven’t visited the gym in a while and automatically send them a personalized offer or reminder. The chatbot will answer questions about memberships, schedules, and services.

Real estate

Chatbots in real estate speed up the processing of applications and shorten the clients’ paths to closing deals.
Furthermore, automating routine tasks will free up realtor agents’ time.

We integrate AI solutions that speed up the creation of real estate listings by generating property descriptions based on characteristics and photos.

To support customers, we'll add an AI assistant. It can provide information about the property and the terms of the deal, as well as help clients select options based on their preferences.

What sets us apart from other agencies

Experienced in 46 niches

We have designed logos and corporate identities, as well as developed projects for IoT, marketplaces, fintech development services, wellness, and 42 other niches.

Thanks to our experience working in various fields, our team can understand the specifics of any business,from standards to user scenarios. We create products that consider the nuances of the niche, the needs of the target audience, and current trends.

Know how to work with the client’s team

We are ready to collaborate at any project stage, including development and creation from scratch.

We’ll join the project and dive into the processes — establish communication and work as a single team. If necessary, our developers will learn how to use the client's tools.

Flexibility

We adapt our processes to meet the requirements of each project. If deadlines are tight, we expand the team and implement new tools.

Our development teams follow the Agile methodology, working in two-week sprints. This allows them to respond quickly to challenges and adapt on the fly.

Another team can continue working on the project

Our developers use common frameworks and tools — React Native, Electron.js, PWA, etc.

We take into account the client’s needs in case they plan to develop the product with an internal team or another agency in the future. Once the project is complete, the client receives the documentation.

Some facts about Purrweb

550+

Project released

Clients from all around the world

Working with customers from USA, UAE, Japan, and Germany

10 years

Of making apps for startups and businesses

>50К

Positive reviews collected by our customers' apps in the app stores

>7 years

Longest partnership with the client

200+

People on the team

Mariano Ponce

CEO

Moon Sun Fire Limited - Health & Fitness Startup