The 90‑minute, low‑code pattern (what to build and when)
- 0–15 mins: Map the touchpoint (CRM, inbox or sheet), note where the AI writes or flags records and identify the single field you’ll use as the processing flag (e.g. ai_processing_state).
- 15–40 mins: Add two fields: ai_confidence (number 0–1) and ai_processing_state (pending / approved / quarantined / error). Implement validation rules or spreadsheet formulas that set state from the confidence value.
- 40–60 mins: Build a visible quarantine queue (a CRM list, a filtered sheet tab or a simple saved view) and a short human‑review form or checkbox so staff can approve or reject items.
- 60–80 mins: Create two notification templates (one for new quarantine items, one for urgent escalations) and wire them into your workflow tool (HubSpot/Salesforce workflow, a Zapier/Make zap, or an email + sheet rule).
- 80–90 mins: Run a quick test with 5–10 realistic items, confirm states, notifications and the manual approve path, then turn on in audit mode for two weeks.
Exact checks, two short examples and notification templates
Keep validations tight and actionable. At minimum validate: ai_confidence, email format, contact_name present, phone format (if used), company_id or company_name, consent/subscription flag, source_system, last_human_review timestamp and duplicate_risk flag. Operational thresholds that work in practise: confidence ≥ 0.8 → auto‑approve, 0.5–0.8 → manual review, < 0.5 → quarantine.
Example 1 — contact updates: an AI suggests a new email and phone; check email regex and domain, compare against existing contacts for duplicates, confirm consent flag is true before writing marketing fields, and set ai_processing_state to quarantined if confidence < 0.8 or duplicate_risk = true.
Example 2 — email triage: AI predicts category and assignee; require ai_confidence ≥ 0.75 to auto‑assign; if the message mentions contract/complaint keywords or contains attachments flagged as documents, force manual review regardless of confidence. Use platform rules in HubSpot, Salesforce or a sheet formula to enforce these checks—the principle is the same across tools.
Notification templates (pasteable, keep short):
- Quarantine alert (team): "Quarantine: {{type}} #{{id}} — reason: {{reason}}; confidence: {{ai_confidence}}. Review here: {{link}}. Please triage within 24h."
- Escalation (manager): "URGENT: {{type}} #{{id}} in quarantine >48h — potential SLA risk. Owner: {{owner}}; last action: {{last_human_review}}."
Two lightweight monitoring metrics and a short two‑week runbook
Track just two metrics every day for 14 days: 1) daily exception rate = quarantined items ÷ total AI outputs (goal: understand scale) and 2) median review turnaround (hours from quarantine → approved/rejected). Record these in a simple sheet or CRM report and review as a quick daily standup item.
Runbook for two weeks: operate in audit mode (AI writes state but not critical fields), check the quarantine queue daily, sample 10 quarantined items every other day to measure false negatives, and apply quick fixes (tweak thresholds, add keyword rules, update the duplicate check). If exception rate > 5% for two consecutive days or median review time > 48 hours, pause auto‑writes with your kill switch and escalate using the template above.
If you want a short hand to implement this pattern across HubSpot, Salesforce, Marketo or Pardot, Optira can help set the fields, lists and simple automation wiring as a practical, hands‑on engagement.