AI inside the systems
your team already uses.
Embedded Agents drop the Agentic Command Center's multi-agent backbone right inside the platforms your team lives in — one backbone, multi-LLM, customer-hosted, audit-ready. Shipping today for ServiceNow and VS Code, with more host platforms on the roadmap.
Same backbone. Every major LLM.
Available today
Two implementations. Same backbone.
Embedded Agents for ServiceNow
AI inside ServiceNow on every page, every form, every list.
100% benchmarked KB accuracy on 59 tests · unlimited list-analysis scale · AI ↔ live agent handoff with full context.
Surfaces
- Multi-agent specialized pipeline
- Multi-strategy semantic KB search
- Catalog discovery across brand naming
- Auto-incident creation for unmet KB / catalog needs
- Fast install path
Embedded Agents for VS Code
AI inside the IDE, codebase-aware and project-scoped.
Sidebar + inline chat · Symbol-aware repo retrieval · Diff preview before apply · Git-aware summaries.
Surfaces
- Codebase retrieval with symbol awareness
- Diff preview before apply on edits
- Git-aware: PR summaries, commit messages, change explanations
- Custom slash commands curated by your platform team
- Private extension install + customer-hosted backend
Why one umbrella
Different surface, same engine.
The thing that changes between ServiceNow and VS Code is the embedding surface and the platform-specific tools. Everything else — LLM routing, governance, deployment, eval — is shared.
Same backbone, every host platform
Every Embedded Agent shares the same multi-LLM, customer-hosted Agentic Command Center backbone. Switch LLM provider in a config table — no code, no redeploy.
Customer-hosted, every cloud
AWS, Azure, Azure GovCloud, Kubernetes, or on-prem. Same backend, different deployment target.
Production-ready governance
Token budgets per role, data limits per instance, scoped roles, row-level ACLs, structured error codes, full request tracing.
Built-in eval framework
LLM-judge scoring with regression tests. Benchmark any model on customer data before going live. Same framework that produced our 100% KB accuracy result.
Custom platforms
Need it inside a different system?
The backbone is platform-agnostic. We can embed an agent in almost any platform — most launches happen in weeks, not quarters.
Salesforce
Service Cloud, Sales Cloud — request
Jira / Confluence
Atlassian ecosystem — request
Slack / Teams
Conversational embedding — request
Cursor / JetBrains
IDE family expansion — request
SAP / Workday
Enterprise back-office — request
Custom platform
Your internal tool, your portal — request
Common questions
FAQ.
Why one solution instead of separate products?
Because the engine is the same. Embedded Agents all run on the Agentic Command Center — multi-LLM routing, audit, governance, deployment are shared. The only thing that changes per host platform is the surface (ServiceNow form vs VS Code editor) and the platform-specific tools. So you make one buying decision, not many.
Which platforms do you support today?
ServiceNow and VS Code are GA, with more host platforms on the roadmap. Additional platforms (Salesforce, Jira, Slack, JetBrains, internal tools) are available on request — typically launch in weeks, not quarters.
How do I pick between ServiceNow and VS Code first?
Pick the one with the larger pain. ServiceNow if your IT/HR/ops teams are the bottleneck. VS Code if your engineering org wants a customer-hosted Copilot alternative. Many customers do both.
Can we get one for [our internal portal]?
Almost certainly yes. The backend is platform-agnostic — what changes is the embedding surface and the platform-specific tools. Email sales@l2h.ai with a brief description and we'll scope it.
Pick your implementation.
Or pick both. The backbone is the same — only the surface changes.
The rest of the stack