Website Engagement
Turn your website into a proactive support and sales hub. Our chatbots guide visitors, answer questions instantly, and provide personalized suggestions that help convert traffic into leads or customers.
AI Chatbot Development
Simplify conversations and move your business forward with AI chatbots that understand context and deliver real value in every interaction.
$4M+Raised by clients
6M+Users in products
5.0Clutch rating
Risk-Free Start
Oleg Kalyta
Founder & AI Lead
Your AI Project Timeline
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Week 1
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Month 1
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AI Chatbot Development Services
End-to-end chatbot development covering the entire lifecycle, from strategy to production and ongoing optimization.
Chatbot Strategy & Use Case Discovery
We analyze your business processes, customer interactions, and support data to identify where a chatbot will deliver the most value. The result is a clear set of use cases tied to measurable business outcomes.
Conversation Design & Intent Mapping
We design conversational flows that feel natural to users and make sense operationally. This includes intent mapping, fallback scenarios, and tone-of-voice alignment with your brand.
Custom AI Chatbot Development
We build chatbots trained on your data and knowledge sources, capable of handling real conversations rather than scripted replies. The chatbot understands context, follows multi-step dialogues, and adapts responses as the conversation evolves.
System Integration & Workflow Automation
Your chatbot is integrated with existing systems such as CRMs, help desks, internal tools, and APIs. This allows it to retrieve data, trigger actions, and support real workflows instead of acting as a standalone interface.
Testing & Quality Assurance
We test the chatbot in real-world scenarios, including edge cases and high-load situations. This ensures stable chatbot performance, accurate responses, and predictable behavior before launch.
Ongoing Optimization & Model Improvement
After deployment, we monitor conversations, analyze performance metrics, and retrain models based on real usage. This keeps the chatbot aligned with changing user needs and continuously improves response quality over time.
AI Chatbots Development for Real Business Needs
Scale customer communication with AI chatbots that respond instantly and take the pressure off your team.
Lower operational costs
Intelligent chatbots handle repetitive questions and routine requests, reducing support workload without adding headcount.
Faster, consistent responses
Users receive instant answers across channels, which boosts customer satisfaction and ensures consistent experiences at scale.
Smarter workflows and insights
By connecting bots to your CRM and internal systems, you gain visibility into user behavior, common issues, and opportunities for improvement.
Built to scale with your business
As demand grows, your chatbot adapts to new products, processes, and customer needs without requiring a complete overhaul of your entire setup.
Our AI chatbot works in the background to improve efficiency and support steady growth, all without adding operational friction.
Connect Your AI Chatbot Everywhere Your Users Are
Our AI chatbots aren't limited to a single platform. They adapt to your digital ecosystem, helping your business stay connected, responsive, and efficient, no matter where your customers or employees interact.
Social Media Interaction
Keep conversations flowing across social platforms. The chatbot engages your audience, responds automatically to inquiries, and ensures your brand remains responsive without adding extra workload.
E-commerce Assistance
Deliver a seamless shopping experience. Chatbots help customers browse products, track orders, and resolve questions in real time, creating a smoother path to purchase and higher satisfaction.
Mobile Apps
Whether on Android or iOS, our chatbots integrate directly into your apps. They offer contextual assistance, automate routine tasks, and enhance engagement without interrupting the user journey.
Business Systems & Internal Tools
Extend automation to your internal operations. By connecting to CRMs, ERPs, HR platforms, and content management systems, chatbots streamline workflows, provide quick access to information, and reduce repetitive tasks for your teams.
Unified User Experience
Every integration ensures consistent communication and data flow, so your customers and employees get accurate, timely responses, no matter where they interact with your business.
Types of AI-Powered Chatbots We Develop
Provide 24/7 support across websites, apps, and messaging platforms to reduce wait times and free your team for complex issues. Our AI-powered chatbots, utilizing conversational flows and natural language processing, handle routine queries and escalate more complex cases to live agents. They continually improve as they learn from user interactions.
Use our chatbots to engage potential customers, help qualify leads, and guide users through the sales process. We design our chatbots so they 'get' the user and their history with your company, and can adjust on the fly to what will work best for them - making life a whole lot easier for your sales team. These chatbots are built on advanced machine learning algorithms that keep pushing the boundaries of what's possible, and the results speak for themselves.
Help your staff get the information they need - fast. Our chatbots integrate seamlessly with your existing systems, like CRMs & ERPs, so that your teams can get the information they need quickly and get on with the important stuff without having to sift through manual processes.
Built using structured data and APIs, these AI-powered chatbots are like having your very own super-smart knowledge base expert on tap. They use the latest retrieval-augmented generation (RAG) techniques to deliver accurate, actionable insights and keep on improving over time based on user interactions.
For projects that need a bit more precision, we combine rule-based logic with AI to create hybrid chatbots that can give you both control and flexibility. You get the security of knowing you're making decisions based on clear rules, but also the agility to adapt to changing circumstances.
We also build bespoke solutions for sectors like Fintech, Healthcare, e-Commerce, Education, Logistics, and more. Each and every AI chatbot we create is built with the specific needs of your business in mind, designed to improve efficiency and customer experience and drive real results.
Tech Stack We Use for AI Chatbot Development
We select technologies that maximize chatbot performance, reliability, and scalability, ensuring AI-powered solutions deliver measurable business value from day one.
AI & ML
OpenAI API
LangChain
Pinecone
LangGraph
Hugging Face
TensorFlowBackend
Node.js
NestJS
Python
FastAPI
PostgreSQL
RedisFrontend & Mobile
ReactReact Native
Next.js
Expo
TypeScriptCloud & DevOps
AWS
Google Cloud
Docker
Kubernetes
GitHub ActionsReach Your Goals with AI Chatbots
Our AI chatbots handle interactions efficiently, reduce human agent work, and deliver consistent answers across channels. They adapt as your business grows and turn conversations into insights.
How We Build AI Chatbots
We analyze your requirements, existing systems, and user needs to define the chatbot scope and create a detailed implementation roadmap.
Deliverables:
- Requirements document
- Use case mapping
- Technical specification
- Project timeline
We design conversational flows, define intents and entities, create response templates, and establish the chatbot personality aligned with your brand.
Deliverables:
- Conversation flows
- Intent hierarchy
- Response templates
- Fallback scenarios
We build the chatbot, integrate with your systems, train the NLP models on your data, and implement custom business logic.
Deliverables:
- Working chatbot
- API integrations
- Trained NLP model
- Admin dashboard
We rigorously test the chatbot with real scenarios, edge cases, and load testing to ensure reliable performance before launch.
Deliverables:
- QA report
- Performance metrics
- Bug fixes
- User acceptance testing
We deploy to production, monitor conversations, analyze metrics, and continuously improve the chatbot based on real user interactions.
Deliverables:
- Production deployment
- Monitoring setup
- Documentation
- Optimization roadmap
Industries We Serve
We build chatbots for industries where fast, accurate, and scalable communication matters. Each solution is designed to handle real operational demands, not just generic scenarios.
Support users with training guidance, wellness tips, scheduling, and progress tracking. These chatbots answer questions, personalize recommendations, and engage users consistently without adding pressure on your internal teams.
Automate scheduling, patient intake, and symptom triage. Chatbots reduce administrative burden and make sure patients get timely answers without long waits.
Provide around-the-clock support while staying fully compliant. Chatbots can handle FAQs, transaction updates, and onboarding questions, helping teams save time and maintain security standards.
Assist customers at the moment of purchase, track orders, offer recommendations, and reduce cart abandonment. Chatbots make shopping smoother while lightening the load for support staff.
Help students navigate courses, deadlines, and FAQs. AI assistants keep experiences consistent, even at a large scale, making it easier for staff to focus on teaching.
Provide shipment updates, delivery estimates, and delay notifications in real time. Chatbots let teams spend less time on routine inquiries and more on resolving exceptions.
Qualify leads, schedule viewings, and provide property details automatically. Agents can focus on closing deals while chatbots handle repetitive interactions.
Recommend relevant articles, videos, and updates based on user behavior. Engagement increases without adding extra work for your content or support teams.
AI Chatbot Projects We've Delivered
Real chatbot implementations. Real business impact. See how we've helped companies leverage conversational AI.
AI/ML HealthTech
Healify
AI-Powered Health Companion
We built an AI health app with conversational AI system for personalized wellness recommendations. The app integrates Apple HealthKit, processes data with OpenAI and LangChain, and uses vector databases for context-aware insights.
$2MFunding raised
10 weeksTime to MVP
Multi-agentAI system
LangChainOpenAIPineconeNLP
Read case study
AI Chatbot
AI Support Agent
Intelligent Ticket Handling
AI-powered support chatbot that handles thousands of tickets daily with context-aware responses and automatic escalation to human agents.
1000sTickets/day
InstantResponses
GPT-4NestJSPostgreSQLRedis
Read case studyEnterprise AI Chatbot Development
Building a chatbot for a large organization isn't the same as spinning up a simple FAQ bot. The stakes are higher, the systems are more complex, and downtime costs real money. Here's what enterprise-grade means in practice.
When you're handling thousands of conversations at once, things can go sideways fast. Enterprise chatbots are built to manage high-volume traffic during peak hours, product launches, or seasonal spikes without degrading response quality. The architecture handles the load so your team doesn't have to.
If you're in healthcare, finance, or any regulated industry, you already know the drill. HIPAA, SOC 2, GDPR, they're not optional. We build chatbots with encryption, audit trails, and access controls from the start, not bolted on as an afterthought.
A chatbot that can't talk to your CRM, ERP, or ticketing system is just a fancy FAQ page. Enterprise implementations connect to Salesforce, HubSpot, ServiceNow, SAP, internal databases, whatever you're running. The bot pulls real data and triggers actual workflows.
Your customers don't stick to one channel, so neither should your chatbot. Deploy across your website, mobile app, WhatsApp, Slack, Microsoft Teams, or SMS. Same logic, same training data, different interfaces.
Nothing frustrates customers more than repeating themselves. When a conversation needs a human, the bot passes the full context, not just a transcript. The agent sees what was asked, what was tried, and what the customer's sentiment looks like.
Enterprise chatbots generate data you can actually use. Conversation patterns, drop-off points, common questions that stump the bot, all of it feeds back into training. You're not guessing what to improve, you're seeing it.
AI Chatbot Development Cost
Pricing depends on what you're building and how deep the AI needs to go. Here's a realistic breakdown based on projects we've delivered.
Basic
$15,000 – $30,000
4–8 weeks
Works well for startups testing the waters or companies with straightforward support needs. Covers rule-based flows, FAQ handling, and integration with one or two systems like your website or a help desk.
- Rule-based conversation flows
- FAQ automation (up to 50–100 intents)
- Single channel deployment
- Basic analytics dashboard
- CRM or help desk integration
Best for: Startups validating chatbot ROI, small support teams, simple use cases
Professional
$30,000 – $80,000
2–4 months
The sweet spot for most mid-sized companies. You get NLP that actually understands context, multi-channel deployment, and enough flexibility to handle real conversations without constant manual updates.
- NLP-powered intent recognition
- Context-aware conversations
- Multi-channel support (web, mobile, messaging)
- CRM, ERP, and API integrations
- Custom training on your data
- Handoff to live agents
- Conversation analytics and insights
Best for: Growing companies, customer support teams handling 500+ queries/month
Enterprise
$80,000 – $200,000+
4–8 months
Built for organizations where the chatbot becomes a core part of operations. Custom LLM fine-tuning, enterprise security, compliance requirements, and the kind of scale where thousands of conversations happen daily.
- Custom LLM fine-tuning or RAG implementation
- Enterprise security and compliance (HIPAA, SOC 2, GDPR)
- Multi-language support
- Advanced workflow automation
- Custom analytics and reporting
- Dedicated support and SLA
- On-premise deployment options
Best for: Large organizations, regulated industries, high-volume operations
AI complexity
High impactA rule-based bot with scripted responses costs a fraction of what you'd pay for a custom-trained model that understands nuance. If you need the chatbot to handle open-ended questions or generate responses on the fly, expect the price to reflect that.
Integrations
Medium to High impactConnecting to a single CRM is straightforward. Pulling data from multiple ERPs, payment gateways, and legacy systems? That takes more time and specialized work. Each integration adds complexity.
Compliance requirements
Medium impactHealthcare, finance, and legal projects come with extra security layers, audit trails, and data handling rules. HIPAA or SOC 2 compliance typically adds 15–25% to the total cost.
Channels and languages
Medium impactDeploying on your website is one thing. Adding WhatsApp, Slack, mobile apps, and three languages means more testing, more edge cases, and more maintenance down the line.
Training data quality
Variable impactIf you have clean conversation logs and well-documented processes, training goes faster. Messy or missing data means more time spent on data preparation before development even starts.
Ongoing maintenance
Recurring impactPlan for 10–20% of the initial build cost annually. Models need retraining, integrations break when APIs change, and user expectations evolve. A chatbot that works today needs regular attention to stay useful.
Ready to Transform Your Customer Support?
Get a free consultation to discover how AI chatbots can reduce support costs by up to 60% while improving customer satisfaction.
Challenges We Help You Overcome
Common problems we solve with AI chatbot solutions.
High volume of repetitive support queries overwhelming your team
We deploy AI chatbots that handle routine questions 24/7, freeing your team to focus on complex issues that require human expertise.
Inconsistent responses across different support channels
Our multi-channel chatbots provide unified, accurate answers everywhere your customers interact — website, app, social media, or messaging platforms.
Difficulty scaling support during peak periods
AI chatbots scale instantly to handle traffic spikes without additional hiring, maintaining response quality even during your busiest times.
Slow response times frustrating customers
Chatbots respond instantly to common queries, reducing average response time from hours to seconds and boosting customer satisfaction.
Lack of insights into customer needs and pain points
Every conversation is analyzed to surface trends, common issues, and opportunities — turning support interactions into actionable business intelligence.
Why Work With Us
We build AI chatbots with a clear focus on real usage, long-term value, and business impact, not just quick launches.
Practical AI expertise
Our team works hands-on with AI chatbots, NLP pipelines, and generative models in real products. This means architecture, training, and fine-tuning decisions are based on what actually works in production, not abstract theory.
Industry-aware design
Different industries come with different constraints. We've built chatbots for FinTech, Healthcare, SaaS, eCommerce, and logistics, taking into account data sensitivity, compliance requirements, and user behavior specific to each domain.
End-to-end responsibility
We own the full lifecycle of your chatbot, from defining use cases and designing conversations to integrations, testing, and post-launch improvements. This avoids gaps between strategy, implementation, and real-world performance.
Measured, business-first rollout
We start with the workflows that bring the fastest value, then expand based on usage data and feedback. This approach reduces risk, shortens time to impact, and keeps development aligned with real business needs.
AI Chatbot Capabilities
Chatbots understand the context of a dialogue, not just single messages. They remember what was discussed earlier and adjust responses based on the flow of the conversation.
The chatbot accurately identifies what the user wants and either provides the right answer or routes the request to the correct workflow, system, or human agent when needed.
Chatbots connect to your documents, FAQs, databases, and APIs to deliver consistent, up-to-date answers instead of generic responses.
One chatbot can operate across websites, mobile apps, and messaging platforms while keeping conversation history and logic unified.
Chatbots can trigger actions such as creating tickets, updating CRM records, booking appointments, or starting internal processes without manual input.
Over time, the chatbot improves by analyzing real conversations, identifying gaps, and refining responses based on usage patterns and feedback.
The chatbot handles growing volumes of conversations without delays, ensuring stable response quality during peak traffic.
What Our Clients Say
What most impressed me about ProductCrafters was their dedication to my project and understanding of our goals. They were very honest and transparent throughout the entire process.
4.9★ App Rating, 7x Performance
They were flexible, and it was easy to work with them on a day-to-day basis. Their brilliant ideas were critical to the project success.
4.8★ Rating, 40% Budget Savings
Out of over 40 applicants, we selected ProductCrafters based on their experience, technical expertise, and cost estimate. The team showed deep technical expertise, a strong work ethic, and honesty.
$550K Raised, 11K+ Monthly Users
The team has honest billing practices and creates incredible value for the cost. Working with ProductCrafters has saved us hundreds of thousands of dollars compared to domestic firms.
Significant Cost Savings
The quality of their code makes them a valuable partner. They thought holistically about solutions and brought up all-encompassing ideas.
Production-Ready Code
Their insightful advice has maximized the application's performance. We're actually learning things from ProductCrafters that we can adapt and use in other applications.
Optimized Performance
Customer stories
RecognitionTrusted by Industry
Trusted by Industry
Leaders
View on Clutch
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Usually, around 4 to 8 weeks for most projects, though initial versions can be launched in less time to get a foundation in place. Startups often start small to get a basic chatbot out quickly, then add more features and polish as it gets feedback from real users and their previous interactions.
It really depends on what you're looking to get out of it and what role you want the chatbot to play. If it's customer support, you're probably looking for speed and ease of use in responding to queries. For lead generation, you want the chatbot to keep in touch with potential customers and help you track interactions to see who's a good fit for your business. If it's to make internal operations smoother, you're looking for a chatbot to automate tasks for your team.
Mainly because they're good at getting accurate and quick answers to customers. They can handle lots of queries at once and tailor their responses to each user, based on what they've said before. They also help you collect feedback and insights so you can make your business better fit with what your customers are looking for in the long run.
Without a doubt. We make sure our artificial intelligence chatbots follow industry standards and get regular security audits. That way, your data stays safe while the chatbot performs its tasks.
It varies quite a bit depending on what you need. A straightforward rule-based chatbot with basic FAQ handling might run $15,000 to $30,000. Mid-range projects with NLP, multiple integrations, and multi-channel support typically land between $30,000 and $80,000. Enterprise implementations with custom model training, compliance requirements, and deep system integrations can go from $80,000 to $200,000 or more. The biggest factors are AI complexity, number of integrations, and whether you need industry-specific compliance.
Yes, and it's more common than you might think. Modern NLP models support dozens of languages, so your chatbot can detect the user's language and respond accordingly. The main consideration is making sure your training data covers each language you want to support, and that responses are culturally appropriate, not just translated word-for-word.
It helps, but it's not always required. If you have historical support tickets, chat logs, or FAQ documents, we can use those to train the model faster. If you're starting from scratch, we can build the initial version based on your product knowledge and common use cases, then refine it as real conversations come in.
Definitely. We build chatbots for WhatsApp, Facebook Messenger, Telegram, Slack, Microsoft Teams, SMS, and more. The underlying logic stays the same, but we adapt the interface and interaction patterns to match each platform's capabilities and user expectations.
Traditional rule-based chatbots rely on a set script and only respond to specific commands. In contrast, AI chatbots understand natural language, can grasp the user's intent, and tailor their responses to how they want to be spoken to. They can also handle more complex back-and-forth conversations and learn as they go.
Yes, they can. They can integrate with a lot of different systems: CRM software, ERPs, knowledge bases, mobile apps, and so on. This makes it easy for the chatbot to get the info it needs, update records, and automate workflows in a way that feels seamless to your team.
That depends on the type of your AI chatbot development project. Support bots just need a bunch of historical conversations and some knowledge about the most common questions being asked. If it's a chatbot that's focused on analytics, it's going to need some data and logs to work from. If it's a more advanced AI chatbot that can actually create new content, you're going to need some knowledge bases, some prior interactions with users, and maybe some user preferences.
Absolutely. AI chatbot development projects are built with growth in mind, which is why they can handle more traffic as your business gets busier, move to new channels when you need to reach more customers, and keep getting better as interactions teach them more about how things work and what matters.
Good chatbots know their limits. When a query falls outside what the bot can handle, it should gracefully hand off to a human agent with full conversation context, so the customer doesn't have to repeat themselves. We also track these moments to identify gaps in the bot's knowledge and improve it over time.
We look at a few key metrics: containment rate (how many conversations the bot resolves without human help), customer satisfaction scores, average handling time, and escalation patterns. Beyond the numbers, we analyze conversation logs to spot where users get stuck or frustrated. The goal is continuous improvement, not just hitting a launch date.
A chatbot is typically focused on conversation, answering questions and guiding users through specific flows. An AI agent goes further. It can take actions autonomously, make decisions based on context, and handle multi-step tasks across different systems. Think of a chatbot as a helpful assistant that talks to customers, and an AI agent as one that can also book appointments, process refunds, or update records on its own.
Let's Build Your AI Chatbot
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Let's build your next success story together.
Risk-Free Start
Your AI Project Timeline
FREE
Week 1
Free Trial
Test our team, no commitment1
Month 1
Proof of Concept
Working prototype delivered2
Month 2-3
Production Ready
Full AI solution deployedOleg Kalyta
Founder & AI Lead