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Workspaces/Use cases/Incident response
Lem AI for incident response

Outages and context.
Connected.

One secure AI workspace functioning as a fast enterprise search engine where engineering teams query historical context, trace active errors, and resolve production outages faster.

Active outage timeline

Select an incident to view live logs and root-cause lookup with cited corporate knowledge from Slack, Jira, and Confluence. Search Slack channels and link runbooks in seconds during an outage.

Database outage08:14:22 Utc

db.pool.exhausted

Client connection limit exceeded, database replica queries hanging.

UI deployment bug08:16:05 Utc

webkit.safari.blank

Mobile Safari visitors report blank pages in onboarding form layout grid.

Integration failure08:18:40 Utc

webhook.delivery.failure

Verification failure on external API calls using public client keys.

Live incident remediation logs
Critical error: Connection pool exhausteddb-ops-console
Running root-cause search...
$ get-lem-ai search "replica database latency pool limit"
→ Found Commit c205e19: "David: adjust backup replica pool limit from 100 to 10 for latency settings."
MTTR: 47 seconds
Mitigation agent status: ActiveMTTR target achieved

Incident prevention & resolution

Equip your on-call teams with the best AI tools for enterprise search work to remediate systems autonomously.

AI-powered knowledge management

Index commits and Slack threads so on-call engineers retrieve past resolutions from an AI-powered knowledge base—not scattered DMs.

Fast enterprise search engine

Run AI-powered enterprise search across tickets, threads, and PRs to trace dependency changes and merge rationale under pressure.

Built for large teams

Scalable enterprise search solutions for large teams: permission-aware retrieval and employee knowledge management tools in one graph.

Mean time to resolution (MTTR) dashboard

Compare outage restoration speeds with integrated workspace retrieval, functioning as an AI assistant for work.

Outage MTTR (Without Lem AI)4.2 hours

Digging through Slack threads, messaging developers, checking logs.

Outage MTTR (With Lem AI engine)47 seconds

Immediate root cause commit tracing and Slack context resolution.

Remediation speed10x faster

Platform specifications

Retrieval & Ingestion

Lem AI is an AI-driven enterprise search solution: ingest runbooks from Confluence, link Slack and Jira, and query in natural language with citations.

Security & context verification

Enterprise search and information security: workspace isolation, encrypted retrieval, and a workplace bot that alerts in Slack when context is missing—internal knowledge base software for regulated teams.

Ingestion latency< 5.0 seconds
Vector dimensions1536 (Openai v3)
EncryptionAES-256 / TLS 1.3
ComplianceSOC 2 & ISO 27001
SLA restoration: ActiveService restored
Use cases

One Tool.
Infinite use cases.

Lem AI adapts to your incident remediation goals. Select a role below to see how we transform your daily troubleshooting workflow.

SOP compliance Guard

Enforce strict branch-to-Jira matching regex and ensure mandatory descriptions are present before PR ingestion. Detect and log SOP violations automatically using knowledge management tools to establish a unified knowledge management search solution.

Branch enforcementViolation loggingJira linker
Audit alignment score100% Match

Performance Metrics

SOP alignment: Auto-reject pull requests violating naming conventions
Traceability: Zero undocumented code changes deployed to production
Repository integrity: 100% of pull requests mapped to active Jira keys

Connect your team memory today

Lem AI maps engineering logic inside your org—enterprise search vs web search for private Slack, Jira, and GitHub. Common enterprise search use cases: outage mitigation, secrets auditing, and compliance-ready retrieval with enterprise search tools.

$npm install -g get-lem-ai && get-lem-ai setup