Salt Technologies AI AI
Starting at $12,000

Custom AI Chatbot Development

Cut support costs 40-60% with an AI chatbot that actually knows your business. Trained on your data, integrated with your systems, production-ready in 2-4 weeks.

14+

Years of Experience

800+

Projects Delivered

100+

Engineers

4.9★

Clutch Rating

The average support ticket costs $15 to $25 to resolve manually. If your team handles 500 tickets per month, that is $7,500 to $12,500 in monthly support costs on repetitive questions alone. A custom AI chatbot trained on your business data deflects 60-80% of those tickets instantly, with accurate, cited answers. We build production-ready chatbots integrated with your existing tools (Zendesk, Intercom, Slack, HubSpot, Salesforce) and grounded in your actual knowledge base. Every response cites its source. When the chatbot is not confident, it escalates to a human agent. No hallucinations. No generic answers.

Why Generic Chatbots Fail Your Customers

Off-the-shelf chatbot platforms and ChatGPT wrappers sound good in demos. In production, they create more problems than they solve.

ChatGPT wrappers hallucinate about your business

A general-purpose LLM does not know your return policy, your pricing tiers, or your product specifications. It will confidently invent answers. Customers get wrong information, and your support team gets escalation tickets about AI-generated lies.

Rule-based bots break on anything unexpected

Traditional chatbots follow rigid decision trees. The moment a customer phrases something differently than expected, the bot loops, gives a canned response, or routes to a human anyway. You end up paying for a tool that handles only 10-20% of queries.

No integration with your actual systems

Off-the-shelf bots sit in a silo. They cannot check order status in your CRM, pull up a customer's account history, or create a support ticket in Zendesk. Your team ends up copy-pasting between the bot and your real tools.

No visibility into what is working and what is not

Without analytics on deflection rates, accuracy scores, and unresolved topics, you are flying blind. You cannot improve what you cannot measure, and most chatbot tools give you vanity metrics instead of actionable data.

The cost of doing nothing: Every month you rely on manual support for repetitive questions costs $5,000 to $20,000 in agent time (depending on ticket volume). That spend grows as your customer base grows. Meanwhile, your competitors are already automating.

The solution: A custom AI chatbot trained on your data, integrated with your systems, and built with production-grade guardrails. Every response is grounded in your actual content with citations. When the AI is not confident, it escalates to a human. You get an admin dashboard to see exactly what is working and what needs improvement. Most clients see 40-60% reduction in support costs within three months.

What Is Custom AI Chatbot Development?

Custom AI chatbot development is the process of building a conversational AI system specifically trained on your business data, integrated with your existing tools, and designed for your unique use cases. Unlike off-the-shelf chatbot platforms or ChatGPT wrappers, a custom AI chatbot uses Retrieval-Augmented Generation (RAG) to ground every response in your actual knowledge base, product documentation, FAQs, and support content.

At Salt Technologies AI, our chatbot development process combines large language models (GPT-4o, Claude) with vector search technology (Pinecone, Weaviate) and a retrieval pipeline built on your data. The result is a chatbot that answers questions accurately, cites its sources, and knows when to escalate to a human agent. We integrate it with your helpdesk (Zendesk, Intercom, Freshdesk), CRM (HubSpot, Salesforce), and communication tools (Slack, Teams, WhatsApp) so it works within your existing workflows.

Every chatbot we build includes an admin dashboard where non-technical team members can review conversations, update knowledge base content, view analytics, and tune chatbot behavior without writing code. You own all code and intellectual property.

60-80%

Ticket Deflection Rate

<3 Seconds

Average Response Time

2-4 Weeks

From Kickoff to Production

The ROI of a Custom AI Chatbot

A $12,000 chatbot that deflects 60-80% of support tickets typically pays for itself in 1-3 months. Here is the math.

Example: A company handling 1,000 support tickets per month

Before: Manual Support

Monthly tickets 1,000
Cost per ticket (manual) $20
Monthly support cost $20,000

After: AI Chatbot (70% Deflection)

Automated by AI 700 tickets
Handled by humans 300 tickets
Monthly support cost $6,000

$14,000

Saved per month

$168,000

Saved per year

<1 Month

Payback period

Based on industry average cost per support ticket of $20 and 70% AI deflection rate. Actual results depend on ticket volume, complexity, and knowledge base quality. Most clients see 40-60% cost reduction within the first three months.

Calculate Your Savings

We will estimate your specific ROI on the discovery call.

Is AI Chatbot Development Right for You?

If any of these scenarios sound familiar, a custom AI chatbot will deliver measurable results.

  • You want an AI chatbot for customer support, internal tools, or your product
  • You need it trained on YOUR data, not a generic ChatGPT wrapper
  • You want it integrated with your existing systems (CRM, helpdesk, knowledge base)
  • You need enterprise-grade security and compliance (HIPAA, SOC2)
  • You have tried off-the-shelf chatbot tools like Drift, Intercom AI, or ChatGPT but they do not understand your business context
  • You want a chatbot that reduces support costs with measurable ROI from day one

If two or more sound like you, let's talk.

Book a Free Discovery Call

AI Chatbot Development Use Cases

See how businesses use custom AI chatbots to automate support, increase sales, and improve employee productivity.

1

Customer Support Automation

Resolve 60-80% of support tickets automatically with a chatbot trained on your knowledge base and FAQ content. Reduce response times from hours to seconds while maintaining accuracy with cited answers. Most companies see support cost reductions of 40-60% within the first three months.

2

Internal Knowledge Copilot

Let employees ask questions about company policies, SOPs, HR documents, and technical documentation in natural language. Eliminate the time wasted searching through wikis and shared drives. New employees get answers in seconds instead of waiting for senior team members.

3

Product-Embedded AI Assistant

Add an intelligent chat interface directly into your SaaS product for user onboarding, feature guidance, and in-app support. Improve activation rates and reduce churn with contextual AI help that knows your product inside out.

4

Sales Qualification and Lead Engagement

Qualify leads 24/7 with a conversational AI that understands your products, pricing, and ideal customer profile. Route qualified prospects to sales with full conversation context. Companies using AI-powered lead qualification report 30-50% higher conversion rates.

5

AI-Powered Onboarding Assistant

Guide new users or new employees through setup, configuration, and initial tasks with a conversational AI that adapts to each person's needs and technical level. Replace static tutorials with interactive, personalized guidance.

6

Multi-Language Customer Engagement

Serve global customers in their preferred language with a single AI chatbot that detects language automatically and responds with accurate, localized answers. Support 20+ languages without building separate bots for each market.

What's Included in Your AI Chatbot Build

Seven deliverables. Production-ready from day one. Everything you need to deploy and manage your AI chatbot.

1

Production-Ready AI Chatbot

A fully functional AI chatbot deployed to your infrastructure, ready to serve customers from day one. Built with enterprise-grade reliability, error handling, and performance monitoring.

Deployed to your infra Production-grade Enterprise reliability
2

Custom Knowledge Base Integration

Your documents, FAQs, product guides, and support content ingested into a RAG pipeline with vector search. The chatbot retrieves and cites your actual content for every answer.

RAG retrieval Citation tracking Vector search
3

Admin Dashboard

A web-based dashboard for your team to review conversations, update knowledge base content, view analytics (deflection rates, CSAT, accuracy), and tune chatbot behavior without writing code.

No-code management Analytics dashboard Knowledge updates
4

Multi-Channel Deployment

Deploy your chatbot to web widget, Slack, Microsoft Teams, WhatsApp Business, or via API. One knowledge base, one chatbot, every channel your customers and employees use.

Web widget Slack / Teams WhatsApp / API
5

Handoff and Escalation Workflows

When the chatbot cannot answer confidently or the topic requires human judgment, it seamlessly hands off to a human agent with full conversation context. No lost information, no frustrated customers.

Confidence scoring Smart escalation Full context handoff
6

Hallucination Prevention and Guardrails

RAG-grounded responses with citation tracking, confidence scoring, off-topic filtering, and safety controls. The chatbot answers from your data or escalates. It never makes things up.

RAG grounding Off-topic filtering Safety controls
7

Documentation and Team Training

Complete documentation covering architecture, admin dashboard usage, knowledge base updates, and troubleshooting. We train your team to manage and improve the chatbot independently after handoff.

Full documentation Team training Self-service ready

How AI Chatbot Development Works

1

Requirements and Design

2-3 days

Define chatbot personas, use cases, tone of voice, and system integrations. Map conversation flows and identify your most valuable knowledge sources.

2

Knowledge Base Setup

3-5 days

Ingest and index your data (docs, FAQs, product content). Build the RAG retrieval pipeline with chunking, embedding, and vector storage.

3

Chatbot Build

1-2 weeks

Develop conversational flows, prompt engineering, and guardrails. Integrate with your CRM, helpdesk, and tools. Build the admin dashboard.

4

Testing and Refinement

2-3 days

Test with real scenarios and edge cases. Tune retrieval accuracy, reduce hallucinations, and optimize response quality. Validate escalation workflows.

5

Deployment and Handoff

1 day

Deploy to production across your chosen channels. Train your team on the admin dashboard, analytics, and knowledge base updates.

Ready to see how an AI chatbot can transform your customer support? Book a free 30-minute call.

Book a Free Discovery Call

Custom AI Chatbot vs. ChatGPT and Off-the-Shelf Bots

Here is why businesses that start with generic tools end up rebuilding with a custom solution.

Salt Technologies AI

Custom AI Chatbot

Trained on YOUR data with RAG

Every answer cites your actual documents

Integrated with your CRM and helpdesk

Zendesk, Intercom, HubSpot, Salesforce

Hallucination prevention built in

Confidence scoring + auto-escalation

Admin dashboard and analytics

Deflection rates, CSAT, accuracy scores

Multi-channel from day one

Web, Slack, Teams, WhatsApp, API

You own all code and IP

No vendor lock-in, no licensing fees

Generic Chatbot Solutions

ChatGPT / Drift / Intercom AI / Tidio

General internet knowledge

Knows nothing about your business

Limited or no system integrations

Lives in a silo, cannot access your tools

Hallucinations and wrong answers

Confidently makes up information

Basic or vanity metrics only

No deflection rates or accuracy tracking

Single channel or extra per channel

Pay more for each additional platform

Vendor lock-in and monthly fees

You rent the tool, never own the code

AI Chatbot Development: Pricing and Timeline

Timeline

2-4 weeks

Starting At

$12,000

What Affects AI Chatbot Development Cost

  • Number of data sources to integrate (knowledge base, FAQs, product docs)
  • Complexity of conversation flows and business logic
  • Number of system integrations (CRM, helpdesk, etc.)
  • Compliance requirements (HIPAA, SOC2, PCI-DSS)
  • Multi-language support needs
  • Number of deployment channels (web, Slack, Teams, WhatsApp)

Get a fixed quote and ROI estimate for your AI chatbot

Tell us about your use case and ticket volume. We scope the chatbot, give you an exact price, and estimate your specific monthly savings before any work begins.

Book a Free Consultation
Free 30-min call, no obligation Fixed price before work begins You own all code and IP No vendor lock-in, no licensing fees

AI Chatbot Development by Industry

Our chatbot development adapts to your industry's data, compliance requirements, and highest-value automation opportunities.

AI Chatbots for SaaS Companies

Product-embedded copilots, automated user onboarding, in-app support, and feature guidance. Reduce churn with contextual AI help that knows your product. Integrate with your existing knowledge base and support tools.

Learn more about AI for SaaS

AI Chatbots for Healthcare

HIPAA-compliant patient intake, appointment scheduling, symptom triage, and clinical Q&A chatbots. PHI-safe architecture with encrypted storage, audit logging, and access controls.

Learn more about AI for Healthcare

AI Chatbots for Fintech

SOC2 and PCI-DSS compliant customer service chatbots, automated account inquiries, transaction support, and financial product Q&A with compliance-safe deployment.

Learn more about AI for Fintech

AI Chatbots for E-commerce

Automated order tracking, product recommendations, returns and exchanges, pre-purchase Q&A, and 24/7 customer support across your storefront, app, and social channels.

Learn more about AI for E-commerce

AI Chatbot Development Technology Stack

We select the optimal technology stack for your chatbot based on your requirements, data volume, accuracy needs, and compliance constraints. Our standard stack includes industry-leading AI models, vector databases, and frameworks.

OpenAI GPT-4o Anthropic Claude LangChain LlamaIndex Pinecone Weaviate pgvector React Next.js Node.js Python FastAPI WebSocket LangSmith

Why Choose Salt Technologies AI for Chatbot Development

We are not a generic dev shop. Here is what makes our AI chatbot development different from every other option.

Not a ChatGPT Wrapper

We build production systems trained on YOUR data with RAG retrieval, citations, and guardrails. Every response is grounded in your actual content, not hallucinated from a general model.

Integrates With Your Existing Tools

We connect your chatbot to Zendesk, Intercom, Freshdesk, HubSpot, Salesforce, Slack, Teams, and custom systems. No manual copy-pasting between tools.

Admin Dashboard for Non-Technical Teams

Your team can review conversations, update knowledge base content, view analytics, and tune chatbot behavior without writing code or filing engineering tickets.

Hallucination Prevention Built In

Our chatbots use RAG with citation tracking, confidence scoring, and automatic escalation for low-confidence answers. When the AI is not sure, it routes to a human agent instead of guessing.

Multi-Channel From Day One

Deploy to web, Slack, Teams, WhatsApp, and SMS without building separate bots for each channel. One chatbot, one knowledge base, every channel your customers use.

Measurable ROI From Launch

Every chatbot includes built-in analytics: ticket deflection rate, customer satisfaction scores, response accuracy, and cost-per-interaction. You know exactly what your chatbot saves and where to improve it.

14+

Years of Experience

800+

Projects Delivered

100+

Engineers

4.9★

Clutch Rating

AI Chatbot Development: Frequently Asked Questions

How much does custom AI chatbot development cost?
Our AI Chatbot Development package starts at $12,000 for a standard deployment with a single data source, web widget, and admin dashboard. Pricing depends on the number of data sources, conversation complexity, integrations, and compliance requirements. Enterprise chatbots with HIPAA or SOC2 compliance typically range from $15,000 to $25,000. Multi-channel deployments with multiple integrations may range from $18,000 to $30,000. You receive a fixed quote before any work begins.
How long does it take to build a custom AI chatbot?
Typically 2-4 weeks from kickoff to production deployment. Simple chatbots with a single data source and web widget can be ready in 2 weeks. More complex builds with multiple integrations, compliance requirements, and multi-language support may take 3-4 weeks. Timeline is defined during the requirements phase and fixed before development begins.
Can you build a chatbot that works with my existing helpdesk?
Yes. We integrate with Zendesk, Intercom, Freshdesk, HubSpot, Salesforce, and custom helpdesk systems. The chatbot handles first-line queries and escalates complex issues to human agents seamlessly with full conversation context. Your support team sees the entire AI conversation when they pick up an escalated ticket.
Will the chatbot hallucinate or give wrong answers?
We use RAG (Retrieval-Augmented Generation) to ground every response in your actual data. Each answer cites its source document so users can verify. We implement guardrails to prevent off-topic responses, add confidence scoring, and configure automatic escalation to human agents for low-confidence answers. The result is a chatbot that says "I do not know, let me connect you with a human" rather than making up an answer.
What is the difference between a custom AI chatbot and using ChatGPT directly?
ChatGPT is a general-purpose AI that knows nothing about your business. Our chatbot is trained specifically on your data (knowledge base, FAQs, product docs), integrated with your systems (CRM, helpdesk), deployed on your infrastructure, and includes an admin dashboard, analytics, handoff workflows, and compliance controls. It is a production system, not a wrapper around an API. Your customers get accurate, cited answers about YOUR business, not generic internet knowledge.
Do you offer ongoing maintenance and support for the chatbot?
Yes. After deployment, you can add our AI Managed Pod ($12,000/month) for ongoing improvements, new features, and maintenance. This includes adding new data sources, tuning accuracy, expanding to new channels, and building additional conversation flows. Alternatively, we provide comprehensive documentation so your team can maintain and update the chatbot independently.
Can the chatbot handle multiple languages?
Yes. We configure multi-language support using multilingual embedding models and automatic language detection. The chatbot detects the user language and responds in the same language, supporting 20+ languages from a single knowledge base. Multi-language support adds $2,000 to $5,000 depending on the number of languages and whether translated content needs to be created.
What channels can the AI chatbot be deployed on?
We support web widget (embedded on your website or app), Slack, Microsoft Teams, WhatsApp Business, API (for custom integrations), and SMS. Most clients start with a web widget and one messaging platform, then expand to additional channels. All channels share the same knowledge base and conversation logic, so you maintain one bot, not five.
What is the difference between a rule-based chatbot and an AI chatbot?
Rule-based chatbots follow rigid decision trees: if the user says X, respond with Y. They break when users phrase questions differently than expected and require manual updates for every new scenario. AI chatbots powered by large language models and RAG understand natural language, handle varied phrasing, learn from your knowledge base, and generate contextual responses. Our AI chatbots combine the flexibility of LLMs with the accuracy of RAG retrieval and the safety of guardrails.
Can an AI chatbot fully replace human customer support agents?
Not entirely, and that is by design. Our chatbots are built to handle 60-80% of routine queries automatically (password resets, product questions, policy lookups, status checks) while intelligently escalating complex, sensitive, or high-value conversations to human agents. The goal is not to eliminate your support team but to free them from repetitive questions so they can focus on complex issues that require human judgment and empathy.
How do you train the chatbot on our business data?
We use RAG (Retrieval-Augmented Generation), not fine-tuning. Your documents (knowledge base articles, FAQs, product docs, SOPs, policies) are parsed, chunked, and embedded into a vector database. When a user asks a question, the chatbot retrieves the most relevant chunks from your data and uses them to generate an accurate, cited answer. You can add, update, or remove documents at any time through the admin dashboard without retraining the model.
What industries do you build AI chatbots for?
We build AI chatbots for SaaS companies, healthcare organizations, fintech firms, e-commerce businesses, legal services, insurance companies, and professional services firms. Industry-specific chatbots account for compliance requirements (HIPAA for healthcare, SOC2 for SaaS, PCI-DSS for fintech), domain-specific terminology, and sector-specific conversation patterns. Our team has experience with the unique data and regulatory challenges of each vertical.
Can you build a HIPAA-compliant AI chatbot for healthcare?
Yes. We build HIPAA-compliant chatbots for healthcare organizations that handle protected health information (PHI). This requires specific infrastructure choices: encrypted storage, audit logging, access controls, BAA with the cloud provider, and PHI-safe model configurations. HIPAA-compliant chatbots typically range from $18,000 to $30,000 depending on complexity. We have experience building compliant AI systems for healthcare clients.
How do you measure AI chatbot performance and ROI?
Every chatbot we build includes an analytics dashboard that tracks: ticket deflection rate (percentage of queries resolved without human intervention), average response time, customer satisfaction scores (CSAT), response accuracy rate, escalation rate, cost-per-interaction, and conversation volume trends. Most clients see 40-60% reduction in support costs within three months. We also track which topics generate the most questions, helping you identify knowledge gaps and improve your documentation.
Do we own the chatbot code and intellectual property?
Yes. All source code, documentation, conversation flows, prompt configurations, and custom integrations created during the engagement belong to you. There are no licensing fees, no lock-in, and no restrictions on how you use the deliverables. You can modify, extend, or migrate the chatbot independently after handoff. If you choose to continue development with us via the AI Managed Pod, the same ownership terms apply.

Choose Your Starting Point

Most clients go straight to the AI Chatbot Build. But if you want to validate first or need broader AI guidance, we have entry points for that too.

Not Sure Where AI Fits?

AI Readiness Audit

Get a prioritized AI roadmap for your business first. We identify which AI project (chatbot, RAG, agent, or automation) will deliver the highest ROI.

$3,000 | 1-2 weeks
Most Popular

AI Chatbot Build

Go straight to production. Custom chatbot trained on your data, integrated with your systems, deployed in 2-4 weeks. Most clients start here.

$12,000 | 2-4 weeks
After Your Chatbot Is Live

AI Managed Pod

Ongoing improvements: new data sources, more channels, better accuracy, additional conversation flows, and continuous iteration based on real usage data.

$12,000/mo | Ongoing

Want to test feasibility first? Our AI PoC Sprint ($8,000) builds a working chatbot prototype with your real data so you can validate accuracy before committing to production.

No obligation to continue after any step. You own every deliverable.

View All AI Services

Getting Started Is Simple

No lengthy procurement process. No upfront commitment.

1

Book a Free Call

30-minute discovery call. Tell us about your business, your support challenges, and what you want the chatbot to do. No sales pitch, no pressure.

2

Get a Fixed Quote

We scope your chatbot and give you an exact price and timeline. No hourly billing. No surprises. You approve before we start.

3

We Build and Deploy

Work begins immediately. You see progress with regular demos. In 2-4 weeks, your AI chatbot is live and handling real conversations.

Related AI Services

Build

RAG Knowledge Base

Turn your documents into an AI-powered knowledge base your team can actually query.

From $15,000
Build

AI Integration Sprint

Add AI superpowers to your existing product without a rewrite.

From $15,000
Build

Custom AI Agent Development

Build an AI agent that actually does the work, not just answers questions.

From $20,000

Every Month Without AI Chatbot Automation Is Money Left on the Table

A $12,000 chatbot that deflects 60-80% of support tickets pays for itself in 1-3 months. After that, every month is pure savings. Book a free 30-minute call and we will estimate your specific ROI.