Tier 4: Orchestrated Systems
L4 is multi-agent. Specialized agents (planner, researcher, writer, reviewer, executor) coordinate via shared state, handoffs, and a control plane. Runs durably across hours or days, with checkpointing, parallelism, retries, audit. The "agent fleet" becomes a real org chart. "AI ops" becomes a function.
Technically: a graph of agents (LangGraph, CrewAI, AutoGen/AG2) or a managed platform (Bedrock AgentCore, Vertex Agent Builder, Mosaic Agent Bricks, Cortex Agents), with shared memory, evals as the heartbeat, observability, and edge-gated escalation.
Not human-in-the-loop as default. HITL is the exception, not the rule: if the evals can't tell whether the output is right, fixing the evals is the priority, not stapling a reviewer to the loop.
L4 is also where lock-in becomes a real exit consideration. Bedrock, Vertex, Agentforce, and Mosaic Agent Bricks create durable platform dependencies. Edge Scale keeps the orchestration control plane portable across these runtimes, so a buyer doesn't inherit a vendor.
Chosen for governance & data proximity.
Keeping the harness decoupled from the runtime lets us change one without re-platforming the other. How we engage →
| Function | In practice | Signal |
|---|---|---|
| Support | Agent-run tier 1 and tier 2; humans escalate only on edge cases | Outcome-priced |
| Sales | An SDR agent pool: research → send → reply classification → meeting booked | Fleet scale |
| Finance | AP agent: invoice intake → matching → approval routing → exception escalation | Approve exceptions only |
| HR | Recruiting agent: inbound screening → scheduling → first-round scorecard | Recruiter sees finalists |
| Engineering | Multi-Devin or Claude Agent SDK fleet working a backlog you can't hire against | Parallel SWE agents |
Edge Scale is BOD's Agent Ops control plane, orchestration-agnostic by design: it runs on top of LangGraph, CrewAI, Bedrock, Vertex, Cortex, or Mosaic, and stays cloud-portable. Governance, audit, cost attribution, RBAC, SSO, connector catalog, deployment blueprints, and a managed tier targeting 99.9% SLA. "The architecture is the asset."
Sierra (outcome-priced), Decagon (multi-agent enterprise), or LangGraph-built with Edge Scale on top. Human escalation only at policy edges.
A fleet of research → outreach → reply classification → meeting agents, with per-agent budgets and a shared eval harness. Pipeline scales without headcount.
Invoice intake → matching → approval routing → exception escalation. Finance approves exceptions, not invoices.
Inbound screening → scheduling → first-round scorecard. The recruiter takes only shortlisted candidates into final rounds.
Parallel autonomous SWE agents working the backlog the team can't hire against. Supervised by senior engineers; not autonomous in the L5 sense.
Onboarding agent runs sign-up → first value. CS agent watches usage, flags risk, drafts save motions. Pricing model starts shifting seat-based → outcome-based.
Governance, audit, cost attribution, RBAC, SSO, connector catalog, deployment blueprints: a managed tier targeting 99.9% SLA, orchestration-agnostic by design. Cloud-portable across Databricks Mosaic AI, Snowflake Cortex, and AWS Bedrock AgentCore.
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