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AI for prod

AI agents fix and run your software, so your team stays on the roadmap.

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Trusted by engineers building what's next

Angelo Marletta

Angelo Marletta

Software Engineer, Coinbase

73%

faster time to root cause

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Resolve AI proved it could deliver real results in production. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.

Why Resolve AI

Combines expertise across your teams, operates all your tools, and captures tribal knowledge of your unique system.

Agents to run your software

AI agents handle on-call, incidents, and daily production work. Engineers get back to building.

RCA for complex issues

Trusted by world-class engineering teams to get to root cause in the most demanding production environments.

Works where you work

Build your own agents with Resolve, or bring your existing tools and runbooks into Resolve AI.

Resolve AI in action.

01

Delegate on-call to agents.

Agents participate in every on-call rotation to triage and investigate alerts.

Explore on-call

Investigations

Investigations108Alerts1658
All teamsLast 3 days
05/1005/1105/1205/13
Today · Wed May 13 2026
just now

Scrape Error Rate High: errors > 2% across 2 orgs on same integration

Chat originOn:monitoring-alerts-systems-prodrotation:systems-oncall
8:46am today

Demo Org not Replying in Slack

Chat originOn:default
6:24am today

High Alert Reception Latency (p90 > 10 mins over 20 min window)

Platformmonitoring-alerts-platform-prodcluster:app0-clusterrotation:platform-oncall
9:49pm yesterday

RDS High Read IOPS: Instance is experiencing high read IOPS

Platformmonitoring-alerts-platform-prodcluster:app0-clusterknowledge_graph:true

02

Co-work with agents to resolve incidents.

Teams of agents investigate incidents with your engineers to get to root cause and fix.

Explore incidents

High rollback rate in entity DB

Investigation completeResolved in 10 minWed May 6, 7:22am
What happenedKey evidenceSuggested fix

What happened

Alert fired for PostgreSQL High Rollback Rate on pgdb-orders-instance-3. Rollback ratio reached ~2.2%, with peaks up to 4.3%.

Root cause: chronic schema drift. Missing alert_outcome column and canvas_doc_state table on orders-db-cluster.

Key evidence

  • 137,639 combined schema errors during incident window.
  • Migration PR identified: alert_outcome_column.sql (PR #27326), merged to main but never applied to the cluster.

Suggested fix

Change run-db-migrations default from false to true in deploy-orders.yml to ensure migrations run by default on orders-db-cluster deployments.

03

Run operational tasks with background agents.

Proactively run your operational workflows on a schedule or on trigger.

Explore operational tasks
Wednesday, May 13
Thoughts

Daily Deploy Health · 21 deploys / 19 healthy / 2 flagged

Reviewed all deploys in the last 24h. Most are clean. One deploy passed CI but introduced a post-deploy latency drift that’s worth your attention.

checkout-service: p99 drifted 2h post-deploy

deploy 7e2a91c rolled out cleanly at 10:14 PT. All health checks passed, error rate stayed at baseline. p99 latency started climbing at 12:14 PT (~2h after deploy) as traffic ramped. Currently sustained at ~387ms, up from a 7-day baseline of 142ms.

checkout-service p99 latency · last 6hdrift began 12:14 PT

Finding: the deploy completed cleanly. This signal only emerged once traffic ramped. Likely candidate: new code path in order-fulfillment.ts hits a slow query at p99 only under load.

19 other deploys completed cleanly. 1 caught at deploy time: auth-gateway rolled back at 4 min (already resolved).

Investigate checkout-service latency drift
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Trusted by engineers building what's next

Customer story

How DoorDash keeps a billion-dollar ads platform resilient in production with AI.

87%reduction in root cause analysis
See the full story

Enterprise Security and Production Readiness

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    Never ingest raw data, only metadata is used
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    No write permissions to your systems
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    Full control with custom redaction
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    Your data is never combined with others
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    Your data is never used to train models for others
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Designed to meet stringent compliance standards, starting with SOC 2 Type II certification. Compliant with HIPAA to handle PHI data.
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