AI Chatbots · Trained on Your Business
AI chatbots that answer like your best employee, at 3am
Custom chatbots trained on your documentation, products and policies, connected to your CRM, with clean human handoff when it matters. Deployed on your website in two to four weeks, answering the questions that used to become tickets or lost sales.
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The Honest Overview
What AI chatbot development actually is.
A definition first, because a chat widget with canned buttons is not AI, it is a phone menu with better fonts.
Here is what your website visitors do when they have a question at 11pm. They do not fill out your contact form and wait two business days. They open a new tab, ask the question there, and buy from whoever answers. The average business replies to a lead in hours; research has shown for years that responding within five minutes multiplies qualification rates enormously. A trained AI chatbot answers in two seconds, every time, including the 71 percent of hours that fall outside your business day.
The difference between the chatbots people hate and the assistants people thank is engineering. The hated ones are keyword menus that answer everything with 'please contact support', or raw language models that cheerfully invent your refund policy. The good ones are built on retrieval augmented generation, RAG: every answer is grounded in your actual documentation, product data and policies, retrieved at question time, so the bot says what your business actually says, and cites where it came from.
Grounding is also what makes hallucination a solvable problem instead of a scary headline. Our bots answer from retrieved sources, decline questions outside their knowledge, and escalate to a human when confidence drops or the topic is one you have flagged, pricing exceptions, legal questions, angry customers. The bot's job is not to replace your team. It is to absorb the 60 to 80 percent of conversations that are the same forty questions, so your team handles the conversations that deserve a human.
And a chatbot that only chats is leaving money on the table. Ours take actions: qualify leads with natural questions and push them into your CRM tagged by intent, book appointments into real calendars, check order status against your store, recommend products from your live catalog. That is the moment it stops being a support tool and becomes a revenue channel with analytics to prove it.
Our AI team has deployed chatbots for ecommerce brands handling order and sizing questions, clinics booking appointments with insurance pre-checks, SaaS companies deflecting tier one support, and service businesses qualifying leads around the clock. We build on the current best models, use retrieval architectures that keep your data yours, and integrate with WordPress, Shopify, Webflow, HubSpot, Salesforce and custom stacks. Typical deployment runs two to four weeks from kickoff to live traffic, because most of the hard work is knowledge engineering, not code. Where the goal is reaching buyers rather than answering them, the same discipline becomes GTM engineering.
Every deployment includes the unglamorous parts that determine whether the bot survives contact with reality: brand voice calibration so it sounds like you, guardrails and escalation rules written with you, a human handoff that carries full conversation context into your inbox or CRM, and a dashboard showing what people ask, what the bot answered, where it escalated and what it earned. You see exactly what it does, because a black box representing your brand is not a risk worth taking.
Browse the AI chatbot portfolio to see the numbers behind these claims.
Deliverables
What every engagement includes.
Eight deliverables in every deployment, from knowledge engineering to the analytics that prove the return.
Knowledge Engineering
Your docs, policies, product data and FAQs structured into a retrieval base the model answers from, with sources, not from imagination.
Custom Bot Development
A conversational assistant built on current frontier models, tuned to your use cases: support, sales, booking or all three.
Brand Voice Calibration
Tone, phrasing and boundaries tuned until the bot sounds like your best employee, verified against real conversation samples.
Guardrails & Safety
Topic boundaries, confidence thresholds, refusal behavior and escalation triggers, written with you and tested adversarially.
CRM & System Integration
Leads, bookings, order lookups and tickets flowing into HubSpot, Salesforce, your calendar or your store, tagged and attributed.
Human Handoff
Escalation that carries full context to your team in their existing tools, so customers never repeat themselves after the transfer.
Analytics Dashboard
Every conversation logged and scored: deflection rate, leads captured, bookings made, topics trending and gaps to fill.
Training & Iteration
Monthly knowledge updates, failure review and prompt tuning, because a chatbot is launched once and improved forever.
Infographic · Our Method
The FAWZ Chatbot Sprint.
Five steps from scoping to live traffic in two to four weeks. This is the AI implementation of our published FAWZ Growth Loop.
Scope & Success Metrics
We define what the bot is for, deflection, lead capture, booking, and what success measures it: tickets deflected, leads per week, response coverage. We also define what it must never do, which is just as load bearing. A chatbot without a metric is a toy; ours ship with a target.
Knowledge Engineering
Your documentation, policies, product catalog and past conversations get audited, cleaned and structured into the retrieval base. Gaps get flagged for you to fill, contradictions get resolved, and every answer source becomes traceable. This phase determines answer quality more than any model choice.
Build & Calibrate
The bot gets built, integrated with your CRM, calendar or store, and calibrated to your voice against real conversation samples. Guardrails and escalation rules are configured and then attacked: we try to make the bot say wrong things before your customers get the chance.
Test & Launch
Your team stress tests it against a structured script and their own creativity. The bot goes live behind a soft launch, a share of traffic, watched daily, then full traffic once accuracy and escalation behavior hold. Launch day includes live monitoring, not crossed fingers.
Review & Improve
Monthly review of what customers asked, where the bot fell short and what changed in your business. Knowledge base updates, new intents and prompt refinements ship continuously, because your products, policies and customers do not hold still and neither should the assistant.
Transparent Pricing
Plans.
Setup plus a monthly plan covering hosting, model costs and continuous improvement. The thirty day guarantee applies to every deployment.
Support Bot
$2,500
setup + $300/mo · for FAQ and support deflection
- Trained on your docs and FAQs
- Brand voice calibration
- Human handoff to email or chat
- Website widget deployment
- Monthly analytics report
Revenue Bot · Most Popular
$5,000
setup + $600/mo · for leads, booking and sales
- Everything in Support Bot
- CRM integration and lead tagging
- Calendar and booking actions
- Product and order lookups
- Multi language support
- Monthly improvement sprints
AI Concierge
$10,000+
setup + custom/mo · for complex and regulated flows
- Everything in Revenue Bot
- Custom actions and API integrations
- WhatsApp and social channels
- Compliance and audit logging
- SSO and role based dashboards
- Dedicated AI engineer
Side by Side
Us versus a typical agency.
Seven questions that separate engineered AI assistants from chat widgets with a subscription. Ask every vendor.
| Question | Typical Agency | Digital Fawz |
|---|---|---|
| Where do answers come from? | The model's imagination | Retrieval from your documents, with sources |
| Hallucination handling? | Hope | Grounding, confidence thresholds, refusals |
| Human handoff? | A dead end 'email us' | Full context transfer into your tools |
| Does it take actions? | Chat only | Booking, lead capture, order lookups |
| Brand voice? | Generic assistant tone | Calibrated and verified against samples |
| Visibility? | A black box | Every conversation logged and scored |
| After launch? | Set and forget | Monthly review and improvement sprints |
AI Chatbot Development Near You
Service areas.
Local market pages with city specific data, unique photography and localized case studies, never templated doorway pages.
Check It Yourself
Where this comes from.
Standards bodies, platform documentation and regulators, so nothing on this page rests on our word alone.
Gemini API documentation
Model documentation for one of the providers we build on, including grounding.
GDPR explained
What lawful processing means once a bot starts holding customer conversations.
WCAG accessibility standard
A chat widget is an interface, and this is the standard it has to meet.
Straight Answers
AI Chatbot questions.
The questions buyers ask us on every discovery call, answered before the call.
What is included in your AI chatbot development service?
Knowledge engineering from your documentation, custom bot development on current frontier models, brand voice calibration, guardrails and escalation rules, CRM and calendar integrations, human handoff with full context, an analytics dashboard and monthly improvement sprints. Deployment on WordPress, Shopify, Webflow, HubSpot, Salesforce or custom stacks is included.
How much does an AI chatbot cost?
Our deployments start at 2,500 US dollars setup plus 300 dollars monthly for support bots, 5,000 dollars plus 600 monthly for revenue bots with CRM and booking actions, and 10,000 dollars and above for complex or regulated deployments. The monthly fee covers hosting, model usage and continuous improvement. Most clients measure payback in deflected support hours and captured after hours leads within the first quarter.
How long does it take to deploy a chatbot?
Two to four weeks from kickoff to live traffic for most deployments. The variable is knowledge readiness: businesses with clean documentation move fastest, while those whose policies live in staff heads need a few extra days of knowledge engineering, which we handle through structured interviews. Complex integrations and regulated industries run four to six weeks.
Will the chatbot make things up about my business?
This is the right question, and the answer is engineering, not luck. Our bots use retrieval augmented generation: answers are grounded in your actual documents retrieved at question time, the bot declines questions outside its knowledge, and confidence thresholds route uncertain cases to humans. We also attack the bot adversarially before launch, trying to bait wrong answers, and monthly reviews catch and correct any drift.
Can it hand off to a real person when needed?
Yes, and the handoff quality is half the product. Escalations trigger on customer request, low confidence, flagged topics or sentiment, and transfer the full conversation into your existing tools, email, live chat, CRM ticket, so the customer never repeats themselves. Urgent categories you define, medical, legal, furious, skip the queue and alert a human immediately.
Which website platforms and tools does it work with?
WordPress, Shopify, Webflow, Wix and custom sites via a lightweight widget; HubSpot, Salesforce and most CRMs for lead flow; Google and Outlook calendars plus scheduling tools for booking; and Shopify or WooCommerce for order lookups and product recommendations. WhatsApp, Instagram and Messenger channels are available on the Concierge tier. If you run something unusual, the free consult includes an integration feasibility check.
What happens to our data and our customers' conversations?
Your knowledge base remains your property, conversations are stored in your instance with access controls, and we configure the model providers' no training flags so your data does not teach anyone else's AI. For regulated clients we add audit logging, retention policies and data processing agreements. You can export everything and leave at any time; vendor lock in through data hostage taking is not our model.
How is this different from the chatbot my website plugin offers?
Plugin bots are generic models with a color picker: no knowledge engineering, no grounding in your documents, no actions, no escalation design and no accountability when they invent your refund policy. Our deployments are engineered systems: your knowledge, your voice, your integrations, your guardrails, with analytics proving what they handle and a team improving them monthly. The plugin is a widget; this is a staffed capability.
Stronger Together
Related services.
AI Chatbot compounds fastest when it runs beside these three.
Generative AI Services
Beyond chat: content pipelines, document automation and AI workflows built on the same grounded engineering.
Website Development
The chatbot converts best on a site that loads fast and guides visitors toward the conversation.
Conversion Rate Optimization
Chat placement, triggers and prompts are testable surfaces. CRO turns the assistant into a measured revenue channel.
Your customers are asking right now.
Free chatbot consult: we map your top forty questions, integrations and a deployment plan with projected deflection. Delivered within five business days.
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