PRACTICE · IV · DEEP AGENT WORKFLOWS
End-to-end ownership, not single-step copilots.
Most “AI” engagements ship a copilot, a chat box bolted to a workflow that already existed. We ship workflow ownership: agents that close incidents, close month-end, and own the seam between ServiceNow and Salesforce. The deliverable is an SLA, not a feature.
The difference between a copilot and a deep workflow agent is what happens when you walk away. A copilot requires a human in the loop on every step; remove the human and nothing happens. A deep workflow agent owns the outcome: it triages, routes, executes, reconciles, and only escalates when the policy says it should. The human reviews the exception, not the ninety-eight cases that ran clean.
And in production, an agent rarely works alone. The multi-agent workflows we ship cross the functional seams where single-agent pilots die: triage, route, execute, escalate only when policy says so. Building this is more engineering than prompting. Orchestration on open protocols, cross-system access scoped through IAM-for-agents, multi-model selection per step, evaluations in CI, and an observability stack that traces each agent the way SRE traces each service. No agent washing: if a step doesn’t need an agent, we don’t build one.
From Production · Recent Deployments
I. MTTR cut on incident ticketing for the typical mid-market deployment.
II. Finance close compressed from twelve to seven days with agentic reconciliation.
III. MCP / A2A orchestration on AgentCore, Foundry, and Vertex.
IV. Each deep-workflow agent owns the outcome, not a single step inside it.
Capabilities · Under the Hood
Orchestration on open protocols
MCP for tool access, A2A for agent-to-agent. Vendor-agnostic so your orchestration layer outlives any single vendor.
Cross-system workflows
ServiceNow + Salesforce + your data warehouse, treated as one continuous surface. Not three integrations to maintain.
Multi-model by default
Claude, GPT, Gemini, Grok. Each picked for the step it's good at, evaluated with LLM-as-judge in CI.
Observability & FinOps
Per-agent tracing, per-step cost attribution, agent registry, IAM for agents. Production support that looks like SRE, not magic.
On the line
The copilot suggests. The agent ships.
START · THE WORKFLOW BRIEF
Which workflow goes first?
Take the Agentic Readiness Assessment to baseline deep agent workflows alongside the other five dimensions. Or come straight to the working session.