stride~13 minutes
Recorded task duration: 13 minutes, 2 seconds. Compared incident windows, challenged the shared-server hypothesis, and prioritized missing evidence.
Use case · Technology continuity
Automated log scans.
Automated log scans.
A clearer picture of system health.
Connect scattered technical signals, find the patterns that matter, and put an evidence-backed action plan in the right hands.
An operational example
The symptom was buffering.
The symptom was buffering.
The evidence told a bigger story.
A multi-site organization needed to understand intermittent application delays. Its applications, services, and databases shared dependencies, while each location had a different traffic pattern.
We correlated logs across locations, devices, transaction types, and incident windows. That separated database contention from recurring image-operation delays and identified where more live telemetry was needed.
The output was a prioritized investigation and action plan, with evidence for each finding and clear next decisions.
System reviewIllustrative events
CollectedApplication + database logs
Coverage checked. Missing intervals flagged.
CorrelatedA shared slowdown window
Compare response latency with database waits.
FilteredExpected waits excluded
Keep intentional polling out of incident alerts.
Human reviewEvidence → owner → next step
Confirm the finding. Approve the action. Verify the result.
Workflow demonstration with synthetic events. This is not a live connection to customer systems.
4Databases compared
1,430Device log files
3.94MCompleted responses
94Additional service files for one database
Report scope also included selected service, portal, and database slow-query logs. Coverage varied by location; one location had service logs without direct mobile coverage. No customer names, identifiers, or raw logs are shown.
A connected workflow
Automate the support work.
Automate the support work.
Keep people in control.
Collect, scan, and correlate. Review, route, and verify. Every finding should lead to a traceable decision and feedback for the next check.
- Retrieve: collect approved log sources and check date coverage.
- Scan: measure latency, failures, retries, and unusual request patterns.
- Analyze: correlate incident windows and separate observations from hypotheses.
- Review & route: a person validates the evidence and assigns the action plan.
- Verify: compare fresh signals after an approved change and update the baseline.
The prior review produced recommendations. Production fixes and post-change verification were not performed in that review. Automated collection and continuous checks require connected, approved sources.
System health loop
Retrieve, scan, analyze, review, route, and verify form a connected loop around human oversight.
- Retrieve
- Scan
- Analyze
- Review
- Route
- Verify
Human oversight
Recorded task timingsWhat we can measure
What we can measure
from the prior review.
Two recorded follow-up tasks show how quickly an existing body of evidence can become a focused comparison and a decision-ready report.
~6 minutes
Recorded task duration: 5 minutes, 30 seconds. Prepared an eight-page report with findings, limitations, and a prioritized action plan.
These are elapsed times for two follow-up tasks after earlier analysis and local file availability. They are not full engagement timings. Retrieval time, human-team effort, actual costs, and production remediation were not measured.
Make the comparison yoursYour use case.
Your use case.
Your operating numbers.
Describe your process, compare its cost today with an AI-assisted estimate, and request a formal quote.
Compare my operation ↗Illustrative time & cost modelSee the difference
See the difference
in effort and money.
Compare a skilled team using ordinary export, search, and spreadsheet tools with an assisted workflow that includes human review. Change the assumptions to fit your operation.
| Workflow stage | Human team | AI + human review |
|---|---|---|
| Retrieve & check coverage | ||
| Scan & structure signals | ||
| Analyze & correlate | ||
| Human review & route an action plan | ||
| Estimated analyst effort | 6h | 45m |
| Modeled cost per review | $270.00 | $38.75 |
5h 15mEstimated analyst time released per review87.5% less analyst effort
$231.25Modeled cost difference per review85.6% lower modeled cost
$4,625.00Modeled monthly cost difference105h of analyst capacity per month
Default assumptions: 6 analyst-hours versus 45 analyst-minutes, $45/hour loaded labor cost, and a $5 AI/tool allowance per review. Assisted time is conservatively budgeted as analyst time, including automation runtime and review. Setup, infrastructure, ongoing subscriptions, production remediation, and outage-loss avoidance are excluded. Teams can work in parallel, so analyst effort is not calendar turnaround time. Released capacity is not automatically a cash saving.
A health view that supports decisionsTrack the signal.
Track the signal.
Escalate with context.
Logs explain application behavior. Live host and database metrics add the context needed to test causes and verify recovery.
Application health
Response-time percentiles, slow-request rates, failures, retries, affected devices, and request volume. Separate intentional waits from unexpected delays.
Shared dependencies
Database waits, long-running queries, concurrent reports, worker queues, and connection pools. Correlate events across services and locations.
Operational continuity
Coverage gaps, connectivity, CPU, memory, and disk behavior. Assign an owner, retain the evidence, and verify after approved changes.
Some indicators require live instrumentation beyond log files. Thresholds and collection frequency should follow the workload baseline.
Start with one processMake room
Make room
for what’s next.
Compare the time and cost of a process today with an estimated AI-assisted alternative. Then request a proposal built around your needs.
Compare your operationAbout 2 minutes. No email needed.
Already know what you need?Talk to Stride
Describe the work
Tell us what happens, who is involved, and what the process needs to deliver.
Add today’s time and cost
Use your monthly team hours and hourly cost. Add tools if you know their cost.
Compare and choose your next step
Review editable estimates and decide whether to request a formal quote.