Day-by-day: one‑week checklist (5–60 minutes per day)
- Day 1 — Quick snapshot (20 minutes): export a small CSV of recent records your AI touched this week (CRM list, e.g. HubSpot/Salesforce/Marketo/Pardot). Note token/use costs, average confidence score (if available) and the count of human edits since AI wrote records.
- Day 2 — Canary and golden record test (30 minutes): run 3 canary inputs (one ideal, one borderline, one malformed) through the live workflow and check outcomes. Verify golden records (known-good examples) still return the expected outputs.
- Day 3 — Human‑sample validation (30–45 minutes): pick a random sample of 20 AI outputs (notes, suggested field updates, email drafts). A non‑technical reviewer marks Pass/Fail and a short reason in a shared spreadsheet.
- Day 4 — Cost and latency check (10–15 minutes): review last 7 days for cost spikes, API errors or slower responses. Flag any increase >30% or repeated timeouts.
- Day 5 — Drift signals review (15 minutes): look for spikes in human edits, decreases in confidence, rising exception counts or unexpected nulls in key fields (owner, email, price).
- Day 6 — Quarantine and rollback rehearsal (15–30 minutes): pause the workflow trigger (or add a short gate rule), move recent suspect records to a dead‑letter sheet, and confirm you can resume without data loss.
- Day 7 — Weekly summary and owner handover (10–20 minutes): consolidate findings into one page, assign follow‑ups, and schedule the rota for next week.
What to watch for, quick validation tests and quarantine steps
Start with three clear signals: sudden confidence drops from the model, an uptick in human edits to AI outputs, and unexpected cost or API‑error spikes. Any two together deserve immediate containment.
Lightweight validations you can run without engineers: a 20‑item human sample review, three canary inputs that exercise edge cases, and a golden‑record comparison where you compare current outputs to a known correct answer. These are CRM lists + a spreadsheet — no extra tooling.
Containment steps that work with HubSpot, Salesforce, Marketo or Pardot: pause triggers (disable the workflow or add a conditional 'maintenance' flag), divert failing outputs to a dead‑letter Google Sheet or CSV, and snapshot key fields before changes. To roll back, restore the snapshot via a controlled import or a manual revert of the small set in the sheet.
Keep it running: owners' rota, simple automation and tools (10–60 minutes)
Set a lightweight rota: one Automation Steward (weekly) and two 10‑minute Daily Check owners on a 2‑week rotation. Daily checks are quick (10 minutes): alerts, recent error counts, and a glance at the steward sheet for new dead‑letter entries. Weekly steward tasks take 30–60 minutes (deep sample review, update canaries, update golden records).
Automate the boring bits using what you already have: scheduled CRM lists (saved filters), an automatic daily export to a shared spreadsheet (webhook or scheduled export), and simple Slack/email alerts for three thresholds (confidence drop, human edits >X, cost spike). For teams on the South Coast or in Fareham/Hampshire this is the same pattern whether you use HubSpot, Salesforce, Marketo or Pardot — focus on owning a small set of signals and gates.
If you need a one‑page runbook or a hand to set up canaries, dead‑letter flows and a steward rota, see our marketing automation support in Hampshire: [marketing-automation-support-hampshire.html]. Optira can help set up the checks and a practical rota so your team keeps AI workflows reliable without extra software.