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Agent Ops & Infra

Run Agents Like Production Software

Everyone can spin up an AI agent. Almost nobody can prove theirs is accurate, on-brand and safe, or keep it that way as models and prompts change. Agent Ops & Infra is our practice for the unglamorous layer that makes agentic GTM actually dependable: evaluation, logging, and human command structures.

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The Practice

Agent evaluation gives every GTM agent a test suite: accuracy, tone, safety and outcome benchmarks it must pass before and after every change, the way production code passes CI. Auto-logging removes the single biggest failure mode of revenue data: humans forgetting to log things. Every call, email and touchpoint lands in the CRM without a rep lifting a finger. And human-commanded agents put repetitive GTM work under explicit human command: your team directs, agents execute, everything is auditable.

This is the practice that makes the other three trustworthy. Enterprises don't fail at agentic GTM because agents can't do the work. They fail because nobody can verify the work. We build the verification.

The Outcomes

What Changes When This Practice Runs

Provable quality

Every agent ships with eval scores and regression tests. You know it works because it's measured, not because a demo went well.

Clean data by default

CRM records stay complete and current automatically, so every downstream system runs on trustworthy data.

Humans stay in command

Agents execute within explicit boundaries with full audit trails, so you get automation you can defend to security review and leadership alike.

From Strangers to Customers

Every Quarter You Run a Manual Revenue Engine Is a Quarter You Leave Money on the Table.

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