Keep AI On Spec In Production

Name: AI Supervision | Swept AI
Brand: Swept AI
Availability: InStock

Sample live traffic, lock baselines, catch drift and bias quickly, route alerts with evidence to the right owners.

Quality Slips After Launch

Models, prompts, and data shift over time, reviews restart, teams lose a single baseline. Swept gives continuous evidence that quality holds up in the real world.

Production Oversight that Prevents Surprises

Sample the right traffic, lock a baseline, track deltas to catch drift fast, then route context-rich alerts to owners. Keep a complete audit trail, and stream or export events to Datadog, Splunk, Elastic, CSV, or JSON.

How Swept AI Supervision Works

Select Traffic To Sample And Set Baselines

Choose sampling rates by endpoint, role, and risk level. Lock a baseline from your last approved evaluation.

Detect Issues With Clear Thresholds

Automatic checks run on sliding windows. Acceptance gates catch drift, variance, and safety problems.

Alert The Right Owners

Send alerts to Slack or Teams, create tickets in Jira or ServiceNow, or page on-call via PagerDuty or Opsgenie.

Investigate And Fix

Replay examples, compare to baseline runs, test an updated prompt or model, and verify the improvement before rollout.

Select Traffic To Sample And Set Baselines

Choose sampling rates by endpoint, role, and risk level. Lock a baseline from your last approved evaluation.

Detect Issues With Clear Thresholds

Automatic checks run on sliding windows. Acceptance gates catch drift, variance, and safety problems.

Alert The Right Owners

Send alerts to Slack or Teams, create tickets in Jira or ServiceNow, or page on-call via PagerDuty or Opsgenie.

Investigate And Fix

Replay examples, compare to baseline runs, test an updated prompt or model, and verify the improvement before rollout.

Book a demo

Alerts And Triage Workflows

•Threshold-based alerts with severity levels
•Incidents grouped with examples and steps to reproduce
•One-click create issue, include links to failing examples and the baseline comparison
•Status, owner, and timers to keep fixes moving

Alerts dashboard showing incidents and triage status

Monitoring At A Glance

•Baseline bands for accuracy and refusal hygiene
•Safety and hallucination flags by endpoint and role
•Drift scores for language patterns and output mix
•Latency and cost, average and 95th percentile, with caps and warnings
•Pass or fail against production thresholds

Monitoring dashboard showing baseline bands and metrics

Sampling That Fits Your Risk

•Random sampling for broad coverage
•Stratified sampling by intent, difficulty, or user segment
•Burst and incident sampling during spikes
•Redaction rules for sensitive fields, encryption in transit and at rest

Sampling pattern visualization showing stratified traffic coverage

Drift, Bias, Variance Detection

•Semantic Drift: Changes in intent mix or language patterns
•Outcome Drift: Drops in accuracy or rises in hallucinations against ground truth or judge
•Bias Checks: Score deltas across sensitive attributes and cohorts
•Variance: Instability by prompt, model version, or time of day

Drift detection graph showing variance and bias trends

Collaboration and Governance

Roles and permissions for who can change thresholds and approve fixes

Comment threads on incidents, with mentions and attachments

Full audit log of changes to prompts, models, and thresholds

FAQs

How much traffic should I sample?

We recommend starting with a higher sampling rate for key endpoints and high-risk roles, then tuning down as you learn your agents' drift patterns. Our system can dynamically adjust sampling as it detects where risk and change are concentrated, so you get strong coverage without overwhelming reviewers.

How are baselines set?

Baselines are locked from your last approved evaluation run. Once a model and prompt set passes your thresholds, Swept saves that as the production baseline to compare live traffic against over time.

What counts as drift?

Drift is any meaningful shift away from your baseline—changes in language or intent mix, drops in accuracy, higher hallucination or refusal rates, emerging bias across cohorts, or instability by model, prompt, or time of day.

Can I monitor cost and latency?

Yes. Swept tracks average and p95 latency and unit cost per endpoint and role, with thresholds and alerts so you see when performance or spend slips out of your acceptable range.

How do I keep data private?

Apply redaction rules to sensitive fields, enforce encryption in transit and at rest, and control access with roles and permissions—so only the right people can see examples, thresholds, and incident details.