Your SOP library describes what a human should do. Some of those documents are ready to become agents that just do it. Here's how to tell which ones.
An SOP is instructions for a human to follow. An agent reads data, applies the same logic, and takes the action directly, with a human involved only at defined checkpoints rather than every step. The underlying process doesn't need to change for this to work, but the process has to already be clean, current, and consistently followed, because the agent will do exactly what the document says, including any bad habits baked into it.
Before converting an SOP to an agent, check whether it's well-documented with no tribal knowledge missing from the page, rules-based rather than requiring subjective judgment calls, high-frequency enough that automation pays off the build effort, and low-ambiguity in that edge cases are rare and predictable. Lead routing based on defined criteria, enrichment triggers on new CRM records, and standard follow-up sequencing tend to score well on all four. Complex deal desk approvals or nuanced customer escalations tend to score poorly.
The most common failure in this conversion isn't a weak model, it's converting a process that was never actually consistent to begin with. If three reps followed a "documented" process three different ways, the agent inherits whichever version got written down, and now that one version runs at scale regardless of whether it was the best one. Clean the process before automating it, not after.
Every newly converted SOP-to-agent process should keep a human review step at launch, tightening it only as the agent demonstrates consistent accuracy over real volume. Removing review immediately on a freshly built agent is the most common way these rollouts produce a visible, embarrassing mistake in the first month.
We audit your existing processes and tell you which ones are genuinely ready to become agents, and which still need a human.
An SOP is a document describing the steps a human should follow to complete a process. An AI agent executes those same steps directly, reading data, applying logic, and taking action without a person manually performing each step, though it typically still needs defined checkpoints where a human reviews or approves output.
SOPs that are well-documented, rules-based, high-frequency, and low-ambiguity are the best candidates, such as lead routing, data enrichment triggers, and standard follow-up sequencing. SOPs requiring subjective judgment or handling frequent edge cases are poor early candidates.
A poorly documented or inconsistent process produces an agent that automates the inconsistency at scale rather than fixing it. The SOP should be clean, current, and agreed upon by the team before it becomes the basis for an agent.
For any process just converted from an SOP to an agent, yes, at least initially. Human review can be reduced over time as the agent demonstrates consistent, accurate output, but removing it immediately on a newly built agent is the most common way rollouts go wrong.
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