How it works

Inside the IntelligenceEngine That SeesDelivery RisksBefore They Slow You Down.

Wallow unifies signals from Slack, Jira, GitHub, CI/CD, and your engineering ecosystem into a single intelligence layer—using multimodal AI, semantic clustering, and cross-tool correlation to detect emerging risks before they impact delivery.

Instant Intelligence, Not Just Answers

Every Signal.
Every Pattern.
Always Understood.

Wallow doesn't just read signals—it understands them.

By analyzing patterns across Slack, Jira, GitHub, and CI/CD, Wallow identifies repeating issues, cross-tool inconsistencies, and slow-forming risks that teams would never see in time on their own.

It recalls how your team resolved similar situations before and surfaces the right insight instantly.

🔺

Delivery Risk Identified

Wallow detected a recurring delivery-risk pattern across Jira and GitHub.

A missing migration script is likely to block the deployment pipeline and cause downstream delays.

Source: Jira + GitHub
Pattern Type: Schema Divergence
Impact Level: High
Recurrence Probability: Elevated
🟢

Known Fix Found

A similar delivery-risk pattern occurred 47 days ago.

Sarah K. resolved it by adding the missing migration script in commit a8f3e2d.

Wallow recommends applying the same fix to restore system flow.

Verified historical fix
Previous resolution time: 2 hours
Recurrence interval: 6 weeks
📊Confidence Level: 94%
Gets smarter with every signal.

Not just resolutions—
Intelligence.

Wallow learns from every signal across your stack.

It builds a continuously evolving delivery knowledge model that captures:

  • Repeating delivery slowdowns
  • Cross-platform dependencies
  • Resolution accuracy
  • Root-cause patterns
  • Impact radius across teams

No noise. No clutter. Just the truth your team needs—before it affects timelines.

Issue Signal Map

How AI connected signals across tools

!
ISSUE PATTERN DETECTED
Deployment-flow risk due to missing migration script
Correlated across: Jira ticket activity + GitHub diff analysis
Detected: Just now
~
HISTORICAL PATTERN MATCH
PROJ-847: Schema migration inconsistency
Previously resolved by Sarah K. • Resolution success rate: 94%
Occurred: 47 days ago
RECOMMENDED RESOLUTION
Apply commit a8f3e2d to realign schema and restore deployment flow.
Estimated recovery time: < 2 hours
Suggested: 2 seconds after detection
Built on Learning

Intelligence That Evolves
With Every Signal.

Wallow acts as an adaptive neural layer across your delivery ecosystem—capturing signals from Slack, Jira, GitHub, CI/CD, and team communication, and transforming them into an evolving map of delivery insight.

1
Capture every signal

Messages, alerts, deployments, reviews, commits, dependencies—automatically.

2
Understand the patterns

AI detects hidden relationships, recurrence, and predictive indicators unique to your organization.

3
Respond instantly

Wallow surfaces risks, resolutions, and proven fixes—before delays form.

2.8M
Resolution patterns learned
Real-world fixes ingested across tools — powering Wallow's growing enterprise knowledge graph.
94%
Solution match accuracy
AI reliably identifies the right historical fix by correlating signals across Jira, Slack, GitHub, and CI/CD.
3.2s
Average solution match time
Lightning-fast inference that delivers the right answer before teams context-switch or escalate.
67%
Faster resolution cycles
Teams resolve friction dramatically faster by reusing verified solutions instead of reinventing fixes.

Your Team's Memory.
Perfected by Intelligence.

Stop relearning the same lessons.

Wallow transforms every resolved issue into structured, reusable organizational intelligence—boosting predictability and eliminating repeated slowdowns.