Pricing category
AI Chatbot Pricing
Conversation systems for answer quality, qualification, routing, and handoff.
Chatbot Starter
Starts at USD $1,500 setup + USD $450/month
Lead Qualification Chatbot
Starts at USD $2,500 setup + USD $900/month
AI Implementation Pricing
Compare pricing paths for AI chatbots, AI agents, workflow automation, maintenance, custom solutions, and enterprise AI implementation.
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
Most businesses do not need one generic AI package. They need the right implementation path: a chatbot for conversations, an agent for task support, an automation for handoffs, maintenance for reliability, or a custom solution when the workflow does not fit a standard package. Pricing follows implementation depth, integrations, support needs, and operational complexity.
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
AI pricing should match the job being improved, not a generic feature list.
Chatbots, agents, automations, maintenance, and custom builds carry different setup and support responsibilities.
Starting with the right scope is usually cheaper than rebuilding a poorly defined AI system later.
Software subscriptions, AI API usage, hosting, CRM tools, and third-party platform costs remain client-managed unless agreed separately.
All pricing paths
Each category has its own detailed page. This overview shows the first two practical package options so buyers can compare quickly without guessing.
Pricing category
Conversation systems for answer quality, qualification, routing, and handoff.
Chatbot Starter
Starts at USD $1,500 setup + USD $450/month
Lead Qualification Chatbot
Starts at USD $2,500 setup + USD $900/month
Pricing category
Automations for CRM actions, ownership, notifications, reminders, and handoffs.
Workflow Starter
Starts at USD $1,250 setup + USD $400/month
CRM Workflow Automation
Starts at USD $2,500 setup + USD $850/month
Pricing category
Task-based agents and assistants for research, summaries, routing, and internal work.
Agent Starter
Starts at USD $2,500/month
Agent Workflow Build
Starts at USD $5,000/month
Pricing category
AI and web support plans for reliability, updates, QA, and technical care.
AI Care
Starts at USD $650/month
AI Optimize
Starts at USD $1,250/month
Pricing category
Custom AI applications, integrations, internal tools, and workflow systems.
Custom Solution Discovery
Starts at USD $350
Focused Custom Build
Starts at USD $3,500
Pricing category
Governed AI pilots, architecture, integrations, adoption, and support cadence.
Enterprise Readiness
Starts at USD $5,000
Enterprise AI Pilot
Starts at USD $12,500 setup + USD $5,000/month
Plans & packages
From USD $1,500 setup + USD $450/month
2-8 weeks
Design chatbot systems for approved answers, lead qualification, support routing, booking paths, and human handoff.
Ideal fit
Conversation discovery
Approved knowledge setup
Qualification or support flow
Routing and escalation rules
Monthly support and review
From USD $1,250 setup + USD $400/month
2-8 weeks
Build automations across forms, CRM actions, notifications, owner assignment, reminders, approvals, and handoffs.
Ideal fit
Trigger and action mapping
CRM or tool workflow
Notifications and task logic
Fallback and exception rules
Support and workflow QA
From USD $2,500/month
2-10 weeks
Implement task-based agents and assistants for research, summaries, routing, document workflows, internal support, and tool-connected work.
Ideal fit
Agent workflow design
Instruction system
Knowledge and tool context
Human review path
QA and support cadence
From USD $350 discovery
Scoped by requirements
Scope custom AI applications, integrations, internal tools, enterprise pilots, governance, and operating support.
Ideal fit
Discovery and requirements mapping
Architecture and integration planning
Governance and support model
Custom build recommendation
Proposal or pilot roadmap
Deliverables included
The exact scope changes by plan, but the deliverables stay practical: systems your team can use, test, maintain, and improve.
Conversation flow, knowledge source, handoff rules, lead capture, support routing.
Review ai chatbots
Task logic, prompt system, source context, permissions, review path, QA checklist.
Review ai agents
Triggers, forms, CRM actions, alerts, routing, approvals, and error handling.
Review workflow automation
Content cleanup, document structure, retrieval logic, update ownership, answer rules.
Review knowledge systems
API planning, tool connections, data movement, testing, documentation, and fallback logic.
Review ai integrations
Interface planning, internal tools, workflow screens, reporting views, and scoped build support.
Review custom software
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
From USD $1,500 setup + USD $450/month
Best fit
Customer conversations
Implementation depth
Conversation system
Support
Monthly to ongoing
Plan 02
From USD $1,250 setup + USD $400/month
Best fit
Process handoffs
Implementation depth
Workflow system
Support
Monthly to ongoing
Plan 03
From USD $2,500/month
Best fit
Task support
Implementation depth
Agent workflow
Support
Monthly to governed
Plan 04
From USD $350 discovery
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.
Clients usually manage ai api usage, crm subscriptions, hosting, automation platform fees, third-party software subscriptions, communication tools, data storage or database costs. Upmark Labs manages implementation, optimization, maintenance, and support unless a different written agreement is made.
Yes. Many clients begin with one chatbot, automation, knowledge system, integration, or internal workflow before expanding.
Yes. Upmark Labs delivers from India with a global operating standard for businesses in the USA, UK, UAE, Europe, Australia, Canada, India, and other markets.
Onboarding usually begins with business context, process walkthroughs, tool access, sample data or documents, success criteria, and a phased implementation plan.
Cadence depends on the engagement. Starter work usually includes monthly support. Larger scopes may include weekly or bi-weekly implementation and optimization reviews.
The first useful movement is usually operational: faster response handling, clearer routing, fewer manual steps, better documentation, or a working first version of the AI system.
Related solutions
Recommended next step
Starts at USD $350
If the right path is not obvious, start with a short discovery session before choosing chatbot, agent, automation, maintenance, custom, or enterprise scope.