Agent operations is the discipline of running AI agents in production: permissions, observability, evaluation, escalation, and continuous improvement. As B2B teams move past AI pilots, the bottleneck is rarely the model—it is operational readiness.
Etumos provides agent operations consulting for marketing, revenue, and platform teams adopting Claude Platform, LangSmith, MCP integrations, and custom orchestrators. We help you ship agents that MOps and RevOps leaders will trust in production.
Agent Operations vs. Agent Experiments
Experiments answer “can an agent do this once?” Agent operations answers “can our org run this safely every week—with logging, owners, and rollback?” Etumos focuses on the second question.
Agent Operations vs. Agent Experiments
Operating Model and RACI
Define who builds agents, who approves tool scopes, who responds to trace failures, and how changes propagate from dev to production.
Platform-Specific Implementation
Specialized consulting tracks for Claude Platform, LangSmith, and LangSmith Fleet—each with distinct deployment patterns.
MarTech and CRM Integration
Connect agents to systems of record via MCP and governed APIs. Etumos brings deep Marketo, HubSpot, and Salesforce context so integrations respect lifecycle, compliance, and data models.
Agent Operations for Marketing and Revenue Teams
- Agentic Marketing Operations — MOps workflows, program QA, MAP integrations
- Agentic Revenue Operations — routing, scoring, pipeline intelligence
Whether your agents serve marketers or RevOps analysts, the operating principles are the same: least privilege, visible traces, human escalation paths, and evaluation before release.
How Etumos Engagements Run
- Stack and maturity assessment—what exists, what is planned, what should wait
- Agent ops playbook tailored to your platforms and compliance needs
- Pilot implementation with production acceptance criteria
- Handoff documentation and team enablement
Frequently Asked Questions
What is agent operations consulting?
Consulting to design and run the people, process, and platform layers required to operate AI agents in production—not just build proofs of concept.
Do we need agent ops if we only use Copilot or ChatGPT today?
If agents will call live systems—Marketo, CRM, data warehouses—you need agent ops discipline even if the UI looks like chat. Tool use changes the risk profile.
Which platform should we standardize on?
Depends on your team: Claude Platform for instruction-heavy MOps agents, LangSmith for engineering-led observability, often both. Etumos helps you choose without vendor dogma.
Does Etumos sell software?
No. We consult and implement in your stack. We also publish open-source Marketo MCP tooling as a community resource.
What is the first conversation about?
Your organization’s AI initiative, current stack, one workflow worth automating, and what “production ready” means for your compliance and marketing leadership.
Get In Touch With Us
Building an agent operations practice? Contact Etumos to map your roadmap.
