Designing LLM-Powered Sales Operations That Actually Scale

Why Traditional Automation Breaks

Most sales ops automations are request/response macros. They break when:

• data freshness drops below 95%
• the workflow spans more than three tools
• compliance audits need traceability

Goal: orchestrate an agentic system where state, decisions, and actions stay observable.

System Blueprint

1. Data readiness — nightly hygiene jobs score enrichment quality and push issues to Slack.
2. Agent routing — lightweight policies decide which skill agent (research, sequencing, follow-up) owns the task.
3. Human checkpoints — SDRs approve only the highest risk transitions (> 0.7 risk score).

Observability Contract

SELECT
  job_id,
  stage,
  risk_score,
  approved_by
FROM agent_execution_log
WHERE occurred_at >= NOW() - INTERVAL '7 days';

Keep this query paginated and charted—compliance loves it.

Rollout Checklist

• [x] Map every agent action to a CRM or analytics event
• [x] Simulate catastrophic prompts and red-team the fallbacks
• [ ] Train SDRs on escalation macros before flipping 100% traffic

When complete, the ops team becomes orchestrators, not fire-fighters.