Custom AI chatbot development service that handles real conversations, plugs into your stack, and ships in 4–8 weeks. Built by a senior team that owns it end to end.
Oleg Kalyta
Founder & AI Lead
Free Trial
Test our team, no commitmentProof of Concept
Working prototype deliveredProduction Ready
Full AI solution deployed
End-to-end AI chatbot development service covering the full lifecycle — strategy, build, production, and ongoing optimization.
We map your support tickets, sales flows, and internal queues against real ROI. The output is a shortlist of use cases tied to dollar impact, not a wish list.
We design conversational flows that feel natural and make operational sense. Intent mapping, fallback paths, and brand-voice alignment are included.
Custom chatbot development on your data and knowledge sources. The chatbot holds context across turns, follows multi-step dialogues, and shifts tone with the user.
Chatbot integration with your CRM, help desk, internal tools, and APIs. The bot retrieves records, triggers actions, and runs real workflows — not a standalone interface.
We stress-test against edge cases, adversarial prompts, and peak load. Pre-launch, you get a hard containment-rate number, not a vibe.
Post-launch, we monitor conversations, retrain on real usage, and ship weekly fixes. Tailored solutions stay tailored only if someone keeps tuning them.
Customer Support Chatbots
Generative AI Chatbots for Sales & Lead Generation
Internal AI-Assistants
Knowledge-Based Chatbots
Rule-Based and Hybrid Chatbots
Industry-Specific AI Chatbots
Real chatbot implementations. Real business impact. See how we've helped companies ship conversational AI that pays for itself.
Healify
AI/ML HealthTech
AI-Powered Health Companion
We built an AI health app with a conversational system for personalized wellness recommendations. It integrates Apple HealthKit, processes data with OpenAI and LangChain, and uses vector databases for context-aware insights.
Discover case study
AI Support Agent
AI Chatbot
Intelligent Ticket Handling
Support chatbot that handles thousands of tickets daily with context-aware responses and automatic escalation to human agents. Response time dropped from 4 hours to under one minute.
Discover case study
Six verticals where we have shipped chatbot work and have references to back it up. Each build accounts for the data sensitivity, compliance, and user behavior of the sector.
Wellness & Sports Platforms
Healthcare
FinTech
Retail & eCommerce
Logistics & Transportation
Real Estate
Cut agent workload and turn conversations into insight. We scope, build, and tune to your data.
Building a chatbot for a large organization isn't like spinning up a simple FAQ bot. Higher stakes, more complex systems, real money on downtime. Here's what enterprise-grade actually means.
Scale without breaking
Security and compliance baked in
Deep integration with your systems
Multi-channel deployment
Handoff that actually works
Transparent pricing based on project scope and complexity.
Here's what typical ML initiatives cost based on projects we've delivered.
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.
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.
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.
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.
The quality of their code makes them a valuable partner. They thought holistically about solutions and brought up all-encompassing ideas.
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.
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.
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.
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.
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.
The quality of their code makes them a valuable partner. They thought holistically about solutions and brought up all-encompassing ideas.
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.
Recognition
Pricing depends on what you're building and how deep the AI goes. Below is a realistic breakdown based on builds we've shipped.
Basic
Startups validating chatbot ROI, small support teams, simple use cases
$15,000 – $25,000
4–8 weeks
For startups testing the waters or teams with straightforward support needs. Rule-based flows, FAQ handling, and integration with one or two systems.
Professional
Growing companies, customer support teams handling 500+ queries/month
$30,000 – $60,000
2–4 months
The sweet spot for most mid-sized companies. NLP that understands context, multi-channel deployment, and enough flexibility to handle real conversations without constant manual updates.
Enterprise
Large organizations, regulated industries, high-volume operations
$80,000 – $120,000
4–8 months
For organizations where the chatbot becomes core infrastructure. Custom LLM fine-tuning, enterprise security, compliance, and the scale where thousands of conversations happen daily.
Free consultation. See how an AI chatbot development service cuts support costs up to 60% and lifts customer satisfaction.
Common Chatbot Development Challenges We Solve
Common problems we solve with chatbot solutions.
High volume of repetitive support queries overwhelming your team
We deploy AI chatbots that handle routine questions 24/7, freeing your team for complex issues that need human expertise.
Inconsistent responses across different support channels
Multi-channel chatbot solutions deliver unified, accurate answers everywhere your customers interact — site, in-product, social, messaging.
Difficulty scaling support during peak periods
AI chatbots scale instantly to absorb traffic spikes without hiring, maintaining response quality through your busiest hours.
Slow response times frustrating customers
The chatbot responds instantly to common queries, dropping average response time from hours to seconds and lifting CSAT.
No insight into customer needs and pain points
Every conversation is analyzed for trends, recurring issues, and gaps — turning support interactions into actionable business intelligence.
We build chatbots for real usage, long-term value, and business impact — not quick launches.
Senior chatbot developers, not generalists
Industry-aware design
End-to-end responsibility
Measured, business-first rollout
Context-aware conversations
Intent recognition and smart routing
Knowledge base integration
Multi-channel support
Workflow automation
AI chatbot development services cover strategy, conversation design, custom chatbot development, system integrations, and ongoing model tuning. The output is a chatbot trained on your data that handles real conversations, not scripted replies. Most builds run 4–8 weeks for a first version.
Usually 4 to 8 weeks for a first production version. A basic FAQ bot can ship in 2–3 weeks. Mid-range builds with NLP and 2–3 integrations land at 6–10 weeks. Enterprise projects with custom training and compliance work run 4–6 months.
Cost depends on AI complexity and integrations. A rule-based FAQ bot runs $15,000 to $30,000. Mid-range builds with NLP and multi-channel deployment land at $30,000 to $80,000. Enterprise builds with custom LLM fine-tuning and compliance go from $80,000 to $200,000+. HIPAA or SOC 2 adds 15–25%.
Rule-based chatbots follow scripts and respond to specific commands. An AI chatbot understands natural language, infers the user's intent, and adjusts tone to match. It handles multi-step conversations and improves with each new interaction.
Start with the workflow that costs the most time today. Customer service? Speed and answer accuracy matter most. Lead generation? CRM integration and tracking matter most. Internal operations? Knowledge retrieval and tool integration matter most.
Yes. Chatbot integration with CRM, ERP, knowledge bases, mobile apps, and ticketing systems is part of every project. The bot retrieves records, updates fields, and triggers workflows without a side process.
It responds instantly across channels, personalizes answers using prior interactions, and surfaces feedback you can act on. Customer engagement metrics — repeat conversation rate, time-to-resolution, CSAT — typically lift within the first month.
Yes. Our builds follow industry standards and pass regular security audits. For regulated industries, we ship SOC 2, HIPAA, and GDPR-compliant builds with encryption, audit trails, and role-based access from day one.
It hands off to a human agent with full context — no repeating. We also log these moments to identify knowledge gaps and feed them back into training. Containment rate climbs week over week as a result.
Containment rate (% resolved without human help), CSAT, average handling time, and escalation patterns. We also read conversation logs for friction points. Numbers without log review miss the why.
A chatbot focuses on conversation — answering questions and guiding users through flows. An AI agent goes further: autonomous actions, decisions based on context, multi-step tasks across systems. Learn more about AI Agent Development.
Yes. WhatsApp, Facebook Messenger, Telegram, Slack, Microsoft Teams, and SMS are all in scope. The underlying logic stays the same; interface and interaction patterns shift to match each platform.
Meet your team
Slack channel, assigned developer, daily standups. First code committed to your GitHub.Working prototype delivered
Technical spike or prototype complete. Architecture + budget roadmap for the full build.You keep everything. Zero cost. Zero commitment.
Oleg Kalyta
Founder & AI Lead
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