Agent QA, Audits & Run Logs: How to Keep Your AI “Digital Employee” On Task
Small businesses are moving fast with AI agents. The risk isn’t the tech—it’s drift: gaps between intent and what the agent does. Fix it by treating the agent like a new hire: set run logs, QA, and audits. This guide gives you clear templates and thresholds.
The Core Idea
If it isn’t logged, it can’t be trusted—or improved. Put lightweight guardrails in place:
- Run Log (every execution)
- Weekly Audit (spot checks + metrics)
- RAG Thresholds (red/amber/green triggers)
- Rollback Plan (pre-approved “off switch”)
- Change Control (one-page record of updates)
1) The Run Log (Copy/Paste Template)
Track the minimum that lets you diagnose issues fast.
Fields:
timestampwho/what triggered(user, schedule, webhook)task_name(e.g., “FAQ reply”, “Lead enrichment”)inputs_ref(link or ID to source data)tools_used(email, sheets, CRM, browser)output_ref(file/record link)result(success | partial | fail)confidence_note(short text; model self-rating)human_review(yes/no + reviewer)exceptions(timeouts, blocked domains, API errors)PII_touched(yes/no)SLA_seconds
CSV starter:
timestamp,trigger,task_name,inputs_ref,tools_used,output_ref,result,confidence_note,human_review,exceptions,PII_touched,SLA_seconds2025-10-14T09:15:12Z,schedule,FAQ reply,faq_v4.md;ticket#1832,email;sheets,reply_1832.eml,success,"Matched policy; cited section 3.2",no,,no,42
2) RAG Thresholds (Flag Problems Before Users Do)
Define what “good” looks like, then color-code it.
Quality (manual spot-check rate weekly):
- Green: ≥ 95% accurate; 0 critical errors
- Amber: 90–94% accurate; ≤ 1 minor error
- Red: < 90% or any critical error (wrong price, PII leak, policy breach)
Latency (SLA to first draft):
- Green: ≤ 60s
- Amber: 61–120s
- Red: > 120s or timeouts
Escalations/Exceptions per 100 runs:
- Green: ≤ 2
- Amber: 3–5
- Red: > 5
PII/Restricted Data touches (where applicable):
- Green: 0 without human approval
- Red: Any unauthorized touch
3) Weekly Audit Flow (30–45 minutes)
- Pull last week’s run log. Filter by task.
- Randomly sample 10–20 runs (or 5% if volume is huge).
- Score against your checklist (see below).
- Compute hit rates: accuracy, SLA, exceptions.
- Tag root causes (input, tool, prompt, policy).
- Create 2–3 small fixes (not five big ones).
- Decide status: Green (continue), Amber (tighten), Red (rollback).
Audit checklist (yes/no):
- Cites or links source where policy requires it
- Uses approved style & disclaimers
- No hallucinated data/claims
- Followed tool scope and rate card
- Respected privacy/PII rules
- Output landed in the right system/location
4) Rollback Plan (Pre-Write It)
When you hit Red, you don’t want a debate; you want a switch.
Rollback steps:
- Disable auto-runs; set the agent to “draft-only.”
- Route tasks to a fallback template or human queue.
- Announce internally (one-liner: “Agent paused for QA—ETA after fixes.”)
- Patch (prompt, tool permissions, input filters).
- Re-enable with a 10-run pilot before full return.
5) Change Control (One Page, Always)
Keep a living record so you can answer “what changed?”
Fields:
datechange_ownerwhat_changed(prompt, tool, dataset, policy)why(metric or incident)risk(low/med/high)test_result(pilot stats)next_review_date
6) Human-in-the-Loop (HITL) Where It Matters
Don’t review everything—review what carries risk:
- Customer-facing emails & quotes
- Policy and legal language
- Any action that moves money, inventory, or access
HITL pattern: agent drafts → human approves → agent sends/logs.
7) Metrics That Actually Move the Needle
- Time-to-first-draft (seconds)
- Edit rate (human edits per draft)
- Accuracy (audit pass %)
- Exception rate (% runs with errors)
- Business outcome (bookings, replies, closed tickets)
Track weekly; if a metric stalls for 2–3 weeks, change something structural (inputs, policy card, or tool scope).
8) The Policy/Style Card (Pin This Next to the Agent)
- Voice: short, direct, no fluff; 6th–8th grade readability
- Non-negotiables: don’t guess; cite sources; never promise delivery dates
- PII rules: never store full card numbers; mask SSN; link to privacy notice
- Escalate when: missing data, legal/price question, unhappy sentiment
- Sign-offs: team name, support hours, contact path
9) Starter Pack (Copy & Go)
- Run Log (CSV sheet)
- Weekly Audit Checklist (10 yes/no items)
- RAG Thresholds (four lines)
- Rollback SOP (5 steps)
- Change Control Doc (1 pager)
Bundle those into a single shared folder and make it part of onboarding for every new agent.
Bottom Line
AI agents don’t fail suddenly; they drift. A lightweight QA loop—run logs + weekly audits + clear thresholds + rollback—keeps your “digital employee” sharp, safe, and profitable.
Ready to put this QA loop to work? Contact BoostMyAI to get started today.