Pricing architecture
Agentic Command Center is the foundation. Chat, Workflow Builder, and Embedded Agents extend it without creating another AI stack. We scope each quote to your environment and operating model.
One commercial structure
FOUNDATION
Agentic Command Center
Chat
Builder
Embedded
One governed backbone. Select the user experiences and buying path that fit your program.
Foundation + add-ons
Required foundation
The customer-hosted command layer for running, governing, and delivering multi-agent AI across your organization.
Pricing structure
Annual platform license
Governed workspace
Give users a familiar way to work with approved models and Agentic Command Center workflows.
Pricing structure
Per named user
Visual authoring
Enable teams to turn complex work into reusable multi-agent workflows on the same governed foundation.
Pricing structure
Platform add-on
AI where work happens
Bring governed AI into ServiceNow, VS Code, and any web application through the universal browser extension.
Pricing structure
Per named user
Model the opportunity
Drag the sliders to size it to your org
Estimated annual labor savings
$3,722,100
Where the savings come from
Analysts, knowledge workers, operators
$1,732,500/ yr
14,438 hrs saved
~45 min/day saved per active user · 35% adoption · 220 working days/year
ITSM agents, help desk, ServiceNow & VS Code
$489,600/ yr
4,896 hrs saved
40% time reduction on agent-touched tickets · 60% L1 deflection via self-service
Developers, data engineers, mission-ops operators
$1,500,000/ yr
10,000 hrs saved
~1 min of manual work avoided per run · 30% of runs displace human effort
Conservative heuristic. Actual savings depend on adoption, environment, and use-case complexity. Multi-year terms unlock additional pricing savings on top of the labor savings shown here.
Estimates only. The calculator uses your inputs and L2H default assumptions. Results are not a guarantee, warranty, or commitment of savings or performance. Actual outcomes vary by environment, configuration, adoption, and use case. For a tailored estimate, use the contact form.
Quotes reflect the products, users, deployment boundary, and support model you actually need.
Annual and multi-year terms are available for planned enterprise and federal programs.
The platform runs in the environment you choose, with your approved AI connections.
Every add-on uses the same governed foundation instead of creating another disconnected stack.
Procurement
Direct
Structure an evaluation, annual subscription, or multi-year program directly with our team.
Distribution
Order through our distributor when your buying motion calls for an existing contract vehicle or purchasing relationship.
Federal
Work with L2H or Carahsoft to align the purchase to your agency or command.
Deployment choice
Trust posture
Architecture support, stated precisely.
L2H is designed to support regulated and federal deployment patterns. L2H does not currently hold SOC 2, ISO, or FedRAMP attestations. Authorization and accreditation are held by the deploying customer or sponsoring agency.
Review the Trust CenterCost methodology
A comparable enterprise AI platform is a commercial offering that combines some mix of AI chat, workflow or agent execution, and embedded assistance. The relevant comparison depends on the platform a customer has evaluated or may replace.
A tailored comparison can include platform subscriptions, user and module licensing, services tied to the platform, customer-direct infrastructure and AI usage, deployment region, program scope, and contract term. Results vary materially across organizations.
L2H does not represent that any specific savings figure will apply to a customer. Request a tailored total-cost-of-ownership review through our contact form and run the ROI calculator with your own assumptions.
Ready to scope it?