Enterprise Solutions
Pricing for enterprise AI applications, agents, knowledge systems, workflow automation, custom integrations, governance, adoption support, and ongoing operating cadence.
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
Enterprise AI implementation is not a tool rollout. It is an operating change across people, process, data, software, governance, and support. The work needs clear ownership, security expectations, access rules, documentation, pilot discipline, adoption support, and a roadmap that leadership can actually manage.
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
Enterprise AI creates risk when departments build disconnected tools without governance, visibility, or shared standards.
Large teams need ownership, documentation, security expectations, access control, and executive reporting before AI systems scale.
Pilot work should prove operational value without creating unmanaged AI experiments across the company.
AI should support the operating model, not sit outside it as another unmanaged layer.
Enterprise scope
The work is not just building an assistant or agent. Enterprise implementation needs a governed pilot, access rules, data boundaries, integration planning, documentation, and an operating cadence leadership can trust.
Access rules, approved sources, human review, change control, and ownership for each AI workflow.
What systems AI can read, what it can write, what stays restricted, and what needs audit visibility.
A narrow first system with clear users, success criteria, risk notes, and executive visibility.
CRM, support tools, databases, APIs, internal workspaces, analytics, and knowledge sources.
Training, documentation, feedback review, support cadence, and roadmap decisions after launch.
Enterprise use cases
Enterprise AI works best when the first system is narrow enough to govern and important enough to prove operational value.
Helps teams search approved knowledge, summarize context, and prepare work without losing source clarity.
Extracts, classifies, routes, and reviews document-heavy work with human approval points.
Supports customer or employee requests with routing, escalation, and governed answer boundaries.
Connects pilots, documentation, QA, reporting, governance, and roadmap decisions into one cadence.
Plans & packages
Starts at USD $5,000
2-3 weeks
Assess enterprise AI readiness across workflows, data access, user roles, governance needs, security expectations, and first pilot opportunities.
Ideal fit
Readiness review
Workflow and tool assessment
Risk and access review
Pilot opportunity map
Governance notes
Executive recommendation
Starts at USD $12,500 setup + USD $5,000/month
6-10 weeks
Design and launch one governed AI pilot such as an internal assistant, document workflow, support agent, knowledge system, or automation layer.
Ideal fit
Pilot architecture
Governance and access rules
Knowledge or workflow setup
Integration planning
User testing and documentation
Monthly pilot review
Starts at USD $25,000 setup + USD $10,000/month
Quarterly roadmap
Build connected enterprise AI architecture across multiple workflows, systems, departments, data boundaries, and operating requirements.
Ideal fit
Enterprise architecture plan
Multi-system integration design
Governance and permission model
Documentation and training
Executive reporting
Quarterly optimization roadmap
Custom from USD $18,000/month
Ongoing operating cadence
Provide ongoing enterprise AI operating support across governance, implementation roadmap, adoption, technical review, documentation, and system improvement.
Ideal fit
AI operating cadence
Governance and roadmap support
Implementation oversight
Adoption and documentation support
Executive review rhythm
Priority support planning
Enterprise outputs
Enterprise AI should create governed systems, not scattered experiments. The output is a practical operating layer across pilot selection, access rules, integrations, documentation, adoption, and support.
Assess workflows, data access, stakeholders, risks, and first pilot opportunities.
Review readiness review
Define ownership, access, approved sources, review points, and escalation expectations.
Review governance model
Build one focused enterprise AI assistant, agent, document workflow, or automation layer.
Review pilot system
Plan safe connections with enterprise tools, APIs, CRMs, support systems, and databases.
Review integration architecture
Document workflows, train users, collect feedback, and refine operating behavior after launch.
Review adoption support
Create reporting cadence around pilot performance, risks, roadmap, and next implementation decisions.
Review executive visibility
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 $5,000
Best fit
Customer conversations
Implementation depth
Conversation system
Support
Monthly to ongoing
Plan 02
Starts at USD $12,500 setup + USD $5,000/month
Best fit
Process handoffs
Implementation depth
Workflow system
Support
Monthly to ongoing
Plan 03
Starts at USD $25,000 setup + USD $10,000/month
Best fit
Task support
Implementation depth
Agent workflow
Support
Monthly to governed
Plan 04
Custom from USD $18,000/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.
Enterprise AI pricing can include readiness assessment, workflow review, governance planning, pilot design, AI agent or assistant implementation, knowledge systems, integrations, documentation, adoption support, reporting, and ongoing operating cadence.
Enterprise work usually involves more stakeholders, permissions, data boundaries, integrations, testing, documentation, security expectations, and governance. The cost reflects operating complexity, not just build effort.
Yes. A governed pilot is usually the strongest first enterprise step. It allows leadership to test value, adoption, data access, and support needs before expanding.
Enterprise systems can include internal AI assistants, document intelligence workflows, knowledge systems, support agents, CRM automation, reporting assistants, custom workflow tools, and API-connected AI applications.
Governance can include access rules, approved sources, human review points, escalation paths, documentation, change control, reporting cadence, and clear ownership for each workflow.
Usually yes. We can plan integrations around CRMs, support tools, databases, internal workspaces, APIs, websites, knowledge bases, analytics tools, and automation platforms when access and documentation are available.
Related solutions
Recommended next step
Starts at USD $12,500 setup + USD $5,000/month
Most enterprise teams should start with a governed pilot before scaling AI across departments. It proves value, exposes risks, and creates standards for the next system.