AI Chatbot Pricing
Plans for designing AI chatbots that answer approved questions, qualify serious inquiries, collect useful context, route conversations, support booking, and know when to hand the conversation to a person.
Pricing decision map
Choose by workflow complexity, not by guesswork.
Scope filter
If the workflow touches more tools, people, or decisions, the plan moves up.
Pricing logic
A useful AI chatbot is not a floating chat widget with polite answers. It is the first operational layer between a visitor and your team. It needs to understand common questions, stay inside approved answer boundaries, collect the context humans need, and route the conversation without making the buyer repeat themselves. Pricing is structured as setup plus monthly support because the initial conversation design and the ongoing answer quality are different responsibilities.
Scope transparency
Listed prices are starting points. Final scope may change based on complexity, number of workflows, integrations, data access, governance, testing depth, and support needs. Software subscriptions, AI API usage, hosting, CRM tools, and third-party platform costs remain client-managed unless agreed separately. Additional work beyond approved scope is billed at $40/hour.
How we evaluate fit
A weak chatbot creates the worst possible outcome: the visitor gets an answer, but the business loses trust.
Lead quality improves when the chatbot asks the right questions before the inquiry reaches sales.
Support teams save time when routine questions are handled clearly and sensitive issues escalate quickly.
Conversation data becomes useful when it improves FAQs, service pages, CRM notes, and follow-up workflows.
Chatbot scope
A simple chatbot can answer approved questions. A stronger chatbot qualifies intent, collects context, routes conversations, supports booking, and improves the next sales or support handoff.
FAQs, service fit, pricing questions, support issues, booking intent, or sensitive escalation.
Website pages, documents, policies, help articles, service notes, product details, or support context.
Contact form, calendar, CRM owner, support inbox, ticket tool, WhatsApp, or human escalation.
What the chatbot can answer, what it should avoid, and when it should stop and ask for help.
Unanswered questions, routing quality, lead quality, drop-offs, and content updates.
Chatbot use cases
A chatbot should not trap users in a loop. It should answer what it can, collect what matters, and hand off when the conversation needs a person.
Answers buyer questions, collects useful context, and routes serious inquiries into the right path.
Asks fit and urgency questions before booking, CRM creation, or sales handoff.
Handles common questions, identifies issue type, and escalates when human help is needed.
Uses approved source material so answers stay consistent and traceable.
Plans & packages
Starts at USD $1,500 setup + USD $450/month
2-3 weeks
Launch a focused chatbot that handles common questions, captures basic inquiry context, and gives visitors a clean path to human help.
Ideal fit
Conversation discovery
Approved FAQ and knowledge setup
Basic qualification path
Lead capture or contact routing
Fallback and escalation rules
Monthly conversation review
Starts at USD $2,500 setup + USD $900/month
3-5 weeks
Build a chatbot that separates casual questions from serious inquiries, captures buyer context, and routes qualified conversations into booking or CRM follow-up.
Ideal fit
Qualification logic
Intent and urgency questions
CRM or form routing plan
Calendar or handoff path
Conversation QA
Bi-weekly lead-quality review
Starts at USD $5,000 setup + USD $1,750/month
4-8 weeks
Design a customer support chatbot that answers from approved knowledge, identifies issue type, escalates edge cases, and reduces repeated support handling.
Ideal fit
Support conversation architecture
Knowledge source structure
Escalation and ticket routing
Unanswered-question review
Documentation
Ongoing optimization cadence
Custom from USD $9,500 setup + USD $3,500/month
Quarterly scope
Build enterprise chatbot infrastructure with answer governance, permissions, multi-team routing, reporting, data boundaries, and support ownership.
Ideal fit
Enterprise chatbot discovery
Governance and answer boundaries
Multi-team routing logic
Integration planning
Executive review cadence
Support and scaling roadmap
AI chatbot outputs
The strongest chatbot projects are scoped around real conversations: what people ask, what the business can safely answer, and where the conversation should go next.
Use approved content, FAQs, policy notes, and service pages without inventing answers.
Review answer clearly
Ask fit, urgency, service, budget, location, or use-case questions without making the buyer feel blocked.
Review qualify gently
Send conversation context into forms, CRM records, notifications, or follow-up workflows.
Review route with context
Route sensitive, urgent, or unresolved issues to the right person or support queue.
Review escalate quickly
Use missed questions to improve FAQs, page copy, service clarity, and support documentation.
Review improve pages
Review poor answers, drop-offs, unanswered questions, and routing friction after launch.
Review review quality
What is included
Process walkthroughs, tool access, sample data, user roles, and a clear implementation plan.
Chatbots, agents, automations, integrations, knowledge systems, or custom builds shipped against scope.
QA, prompt updates, fixes, documentation, review cadence, and practical improvement after launch.
Extra integrations, advanced API work, custom software, data cleanup, training, and additional scope.
Delivery roadmap
Phase 1
Review the workflow, tools, users, data, constraints, and manual work that should be reduced first.
Phase 2
Define the implementation scope, system logic, integrations, knowledge structure, and support expectations.
Phase 3
Implement the chatbot, agent, automation, integration, or custom software system with practical QA.
Phase 4
Improve prompts, data quality, routing, documentation, reliability, and user experience after launch.
Compare plans
Choose by workflow complexity, integration depth, and support cadence. Start small when one workflow is clear; move up when more teams, tools, or permissions are involved.
Swipe to compare plans
Plan 01
Starts at USD $1,500 setup + USD $450/month
Best fit
Customer conversations
Implementation depth
Conversation system
Support
Monthly to ongoing
Plan 02
Starts at USD $2,500 setup + USD $900/month
Best fit
Process handoffs
Implementation depth
Workflow system
Support
Monthly to ongoing
Plan 03
Starts at USD $5,000 setup + USD $1,750/month
Best fit
Task support
Implementation depth
Agent workflow
Support
Monthly to governed
Plan 04
Custom from USD $9,500 setup + USD $3,500/month
Best fit
Complex requirements
Implementation depth
Architecture-led
Support
Custom cadence
Questions
Short answers for the questions that usually decide whether a plan is ready to discuss.
Quick answer
You can start small. Most teams begin with one useful system, then expand once the workflow proves value.
AI chatbot pricing can include conversation design, approved knowledge setup, qualification questions, lead capture, CRM or form routing, fallback rules, escalation paths, testing, documentation, and post-launch conversation review.
Setup covers the initial conversation design, knowledge structure, routing logic, testing, and launch. Monthly support covers source updates, answer QA, prompt refinement, routing checks, and improvements after real visitors start asking real questions.
A chatbot mainly manages conversations: answering, qualifying, routing, and handing off. An AI agent is designed to complete a bounded task such as researching, summarizing, updating a tool, or preparing an output.
Yes. A chatbot can ask fit, urgency, budget, service, location, or use-case questions before sending the inquiry to sales or support. The goal is not to interrogate the buyer; it is to make the human follow-up more useful.
Yes. Chatbot data can be routed into CRM fields, forms, calendars, email notifications, automation workflows, or support systems when access is available. The handoff should include context, not just a name and email.
We define approved sources, answer boundaries, fallback language, escalation rules, and QA review so the chatbot knows when to answer and when to hand off.
Related solutions
Recommended next step
Starts at USD $2,500 setup + USD $900/month
Most business chatbots become useful when they stop acting like a help bubble and start protecting the handoff: qualify the inquiry, collect context, route the conversation, and reduce back-and-forth.