Yearly running cost Assuming 1,200 record batches a year
By hand $36K / year 900 hours of work
Subscription Quote needed
This workflow $150 / year Machine usage only; setup, hosting and review are extra. Which product problems should it find? Group similar complaints, spot rising issues and show the records behind each alert.
One record batch includes up to 100 new service or warranty records.
Check uploaded service and warranty records Structured exports and approved issue rules $1,584 – 4,320 setup Read new cases from my service system Repeat checks from an approved read-only connection $2,160 – 6,000 setup
Which service system should it read?Salesforce Service Cloud Other Quality engineers investigate and approve actions. No automatic root-cause conclusions, recall decisions, case closure or equipment control. Keep existing urgent-report channels active.
What is included Validate records, group related symptoms, show changes over time and link each proposed issue to its evidence. Keep unmatched and urgent reports visible.
Start with service and warranty exports for a product family. Match product IDs, remove duplicate events and compare issue counts with earlier batches. Use exposure data for failure rates; without it, show report counts only. Urgent records bypass grouping delays.
Text per record: up to 500 tokens.
Initial historical baseline: up to 1,000 records.
Starting scope: up to 1 product family.
How reliably should it find issues worth investigating? Find the issues that matter without flooding engineers with duplicates. Keep the original reports and never turn a suspected cause into a fact.
Standard Find recurring issues with traceable evidence and a manageable review queue. Important issue groups found: ≥90% Alerts worth investigating: ≥85% Included Strict Test harder-to-spot issues and reduce false alerts with additional verification. Important issue groups found: ≥95% Alerts worth investigating: ≥90% Setup +$360 – 1,080 My own targets Agree your own acceptance requirements with the provider. Quote separately
How these standards are measured Use time-held-out records with engineer-labelled issue groups. Measure missed issues and false alerts separately. Report results for new issues as well as known ones; keep unmatched records visible. A link is not proof of a root cause.
Targets for your selected standard What is checked Target Important issue groups foundMatched actionable groups divided by all engineer-labelled actionable groups in the time-held-out set. Novel and rare groups are scored separately; missed and deferred groups remain in the denominator. ≥90% Alerts worth investigatingDistinct surfaced alerts judged actionable divided by all surfaced alerts. Engineers agree actionability before testing; duplicate or misleading alerts fail. Report the queue size as well. ≥85% Complete source evidenceEvery surfaced group has valid original record IDs, incident dates, product versions and reproducible deduplicated counts. Rates require the matching exposure denominator and time window. ≥100% Urgent records routedEvery record matching agreed urgent rules reaches human review, including single incidents. A failed import raises an operational alert; unread records have not been checked. This measures routing against those rules, not detection of every possible safety hazard. ≥100%
Count distinct incidents, not duplicate reports. Missing installed-base or operating-hour data means no failure-rate claim. Suspected causes stay hypotheses. Urgent reports cannot be suppressed by the model.
How quickly should new records be checked? Choose when a batch should be ready for your quality team. Investigation and corrective actions take place separately.
Within 3 minutes Included Within 90 seconds Setup +$144 – 480 Within 45 seconds Setup +$288 – 960
Timing details Measure from complete records to stored issue groups, including validation, queueing, model calls and retries. Start with the declared historical baseline already indexed; ongoing imports are included, initial backfill is separate.
The target applies to at least 95% of agreed test runs, with 2 in progress at a time.
How much do you want to spend per record batch? Choose the machine budget for reading reports, grouping issues and checking their evidence.
Up to $0.80 Included Up to $0.50 Setup +$72 – 360 Up to $0.30 Setup +$216 – 720
Cost details Includes model calls, retries and shared hosting at the stated volume. Human investigation, service-system subscriptions and the calling agent are separate.
Reference machine cost: $0.32 – 0.72 per record batch at 100 record batches a month. The selected cap is a target to test, not a replacement for this estimate.
Where do you want it to run? Run in your cloud or on your own server. Choose whether approved report text can go to an external AI model.
Run it onYour cloud Local environment AI model accessApproved model API No external calls
Data and access details Runs in a cloud account you control, with access controls and logs.
Only approved report fields go to the selected external model. Agree data access and retention first.
Remove unnecessary customer details before model calls. No external calls uses local files and private inference, without a live service-system connection.
How do you want to use it? Use a review web page, your existing AI agent or a dedicated quality-review agent.
A review web page Upload records, inspect issue groups and open the supporting reports. Included My existing AI agent Ask your agent to check new reports and retrieve the issue queue. Setup +$72 – 240 A dedicated agent Use a dedicated agent to prepare the quality review and ask for missing details. Setup +$144 – 480