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Agentic Command Center · 2026 Q1

Command every agent.
At enterprise scale.

The Agentic Command Center is the platform that powers every L2H deployment — the orchestration engine, governance layer, and integration backbone for production multi-agent AI. Pre-built workflows ship in the box, the Workflow Builder lets your teams author their own, and a one-shot infrastructure-as-code deploy lands it on AWS, Azure, GovCloud, or on-prem Kubernetes.

Agentic Command Center template detail page for the RFI Response Pipeline — showing the multi-node workflow graph, version history, success rate, and run history.

MCP

Native plugin protocol

REST

Any HTTP-speaking system

Any

Frontier or open-source LLM

SDK

Build your own plugins

See it in action

Real workflows, real metrics, real runs.

Every screenshot below is from a live Agentic Command Center instance — not a mockup. Project dashboards, the operations console, and a single workflow run with its full execution timeline.

Project dashboard with KPI cards (185 runs, 87% success), an execution-trends bar chart, recent runs, top templates, and recent failures.
Project dashboard — KPIs, execution trends, and recent activity in one view.
Workflow runs operations console showing 185 runs with status, template, duration, started timestamp, and run ID columns; filters at top.
Operations console — 185 runs at 87% success, filterable by template, status, and date.
Single workflow run detail page showing 5 completed nodes with real timing data — Intelligence Intake (26ms), Fetch Unprocessed Reports (214ms), Classify & Prioritize (15.8s), Route by Critical Count (28ms), Generate Routine Summary (18.1s).
Run detail — every node, every timing, every input and output.

Headline capabilities

The platform behind production AI.

Workflow Builder — author visually

The Workflow Builder add-on gives your teams drag-and-drop authoring with live variable autocomplete, design-time graph validation (reachability, dangling edges, placeholder scan, branch-schema consistency), and one-click run-the-draft.

Distributed runtime

Cooperative cancellation, scheduled runs (cron + interval), human-in-the-loop approval gates. Long-running pipelines fan out and rejoin reliably.

Every major LLM in the box

Native integrations with OpenAI, Azure OpenAI, AWS Bedrock (frontier and open-source models in one integration), Google AI (Gemini), xAI (Grok), and any OpenAI- or Anthropic-compatible endpoint — covering every frontier and open-source model. Per-role routing, encrypted at rest, no lock-in.

Multi-agent orchestration with sharding

Planner → workers (parallel, sharded by token budget) → finalizer pattern. Structured output enforcement via JSON Schema with automatic retry.

First-party plugins + customer SDK

Core workflow nodes plus integrations for ITSM, CRM, web search, document analysis, RFI/RFP automation, mission-ops, cloud migration, and more. Connect any MCP server or REST endpoint. Customer plugins via approved upload.

Self-describing workflows

Every workflow exposes input/output JSON Schemas, fields, globals, and example payloads so any external agent can discover and call them.

Workflow node catalog

Composable nodes. Every workflow uses them.

TriggerWorkflow entry point — declares the input contract
AgentLLM call with optional tool calls, structured output, web search
ConditionalRoutes flow via typed expressions, labelled branches, per-branch output contracts
WebhookHTTP call (any method, templated URL / headers / body)
TransformBuild a structured object from variable references
MergeCombine multiple incoming paths (object merge, array concat, collect)
ValidateDeclarative checks (required, type, enum, regex, min/max); fail or route
DelayWait a relative or absolute time, then continue
Loop / joinFan out across an array (serial or parallel); aggregate via collect, flatten, or merge
OrchestratorPlanner → workers (parallel, sharded) → finalizer
ApprovalPause and wait for a human decision
Parse documentObject-store document → markdown
Generate documentMarkdown → PDF / DOCX artifact
Custom codeSandboxed code that takes inputs and returns a result

LLM provider flexibility

Every major LLM. Per-role routing.

Six native integration paths unlock every frontier model and every open-source model on the market. The connection abstraction is project-scoped and encrypted at rest. The same physical credential can be wrapped in multiple connections to route per role: planner = strong model, worker = fast model, finalizer = strong again.

OpenAI

Full frontier lineup · native web search

Azure OpenAI

Vision deployments · GovCloud-eligible

AWS Bedrock

Frontier and open-source models in one integration · native streaming

Google AI (Gemini)

Native search grounding · multimodal input

xAI (Grok)

Native live search

OpenAI-compatible

Any open-source or self-hosted model

Architecture

Four services. One deployment.

Customer-hosted microservices with a single shared deployment. Production runs on AWS, Azure, GovCloud, or on-prem Kubernetes — the same deployment runs on a laptop.

  • Web

    Dashboard, workflow builder, in-app docs, embedded assistant

  • API

    REST surface, authenticated workflow dispatch, project / integration / LLM management

  • Worker

    Workflow node execution, agent runtime, tool integrations, video pipeline, document parse/generate

  • Scheduler

    Cron + interval triggers; safe to scale horizontally

Data plane

Production-grade plumbing.

  • Relational store + vector search

    System of record. Vector ANN for video frame search. Full-text search for transcript chunks.

  • In-memory cache

    Fail-open everywhere.

  • Managed message broker

    Powers the orchestrator and foreach fan-out / rejoin pattern.

  • Object storage

    S3, Azure Blob, GCS, MinIO, or local FS. Raw videos, document originals, generated PDF / DOCX.

Use cases

From RFI in to PDF out — in one workflow run.

RFI / RFP response automation

A pre-built RFI/RFP workflow produces PDF + DOCX from a company KB and an RFI document in one run.

Mission briefs & intel triage

Pre-built mission-ops workflows for DoD / IC mission planning.

ITSM ticket triage

ServiceNow integration for KB-grounded incident automation with prebuilt ITSM workflows.

Recruiter copilot

Bullhorn integration for note triage, recruiter activity rollups, smart search.

Storage migration

Cloud storage migration for SMB → AWS FSx with verification + reporting.

Video search & analysis

Multimodal embeddings + vector search. Index cheap, query smart.

Enterprise hardening, shipped today.

Production-ready security from day one. Not a roadmap promise.

  • Append-only audit log with CSV export and configurable retention
  • Scoped, expiring API keys
  • Signed outbound webhooks with SSRF guard
  • Token-bucket rate limiting + idempotency-key support
  • Workload-identity-bound cloud access · secrets fetched at process start
  • Hardened containers, network-policy templates
  • Site-admin RBAC + scoped, in-process embedded-assistant contract

Technical specifications

Architecture
Customer-hosted microservices
Workflow engine
Distributed task runtime with cooperative cancellation and approval gates
Database
Managed relational store with vector and full-text search
Cache / Pub-Sub
In-memory store with fail-open semantics
Storage
S3, Azure Blob, GCS, MinIO, or local filesystem
Deployment
Infrastructure-as-code on AWS, Azure, GovCloud, or on-prem Kubernetes
Local dev
Same deployment runs on a laptop and on a production cluster

See the Agentic Command Center in action.

30 minutes. Live walkthrough of the Workflow Builder, plugin catalog, LLM provider routing, and a real RFI pipeline running end-to-end.