For SRE, platform, and engineering teams

Cut incident response time.
Without replacing your stack.

WHAWIT reduces alert noise, cuts debugging drag, and helps engineering teams get to root cause faster without replacing Datadog, New Relic, CloudWatch, or the rest of their stack.

Book a Pilot Review

Use your real workflow · No rip-and-replace · Read-only access

app.whawit.ai
WHAWIT dashboard showing incident triage, correlated alerts, and AI-assisted analysis

Economic Impact

The hidden cost of production chaos

Production incidents do not just slow engineers down. They create operational drag, burn budget, and turn routine response into an expensive debugging exercise.

Alert noise buries real incidents

Teams lose time sorting duplicate notifications and low-signal noise before real response even starts.

Engineers waste hours debugging

Responders bounce between tools, dashboards, and raw logs while the incident clock keeps running.

Slow response becomes business risk

Longer MTTR means customer impact, revenue pressure, and more fatigue for already stretched on-call teams.

Log costs keep growing anyway

Storing and searching more telemetry increases spend, but it does not guarantee faster answers when production breaks.

85%
Faster MTTR
90%
Less alert noise
5 min
Time to first insight

Works with the tools your team already depends on

Datadog logo
New Relic logo
AWS logo
Vercel logo
Google Cloud logo
Azure logo
Elastic logo
Splunk logo

Plus 15+ more including Sentry, Grafana, BetterStack, and custom integrations. No rip-and-replace required to evaluate WHAWIT.

Founder credibility

Built by someone who has lived through production chaos

WHAWIT is led by Jose Escrich, who has spent more than 25 years building and operating enterprise systems where downtime, noise, and slow incident response carry real cost.

Founder-led pilots help teams validate WHAWIT on real incidents before a broader rollout, with direct conversations around operational fit, architecture, and security expectations.

Enterprise evaluation support
  • 25+ years building and operating enterprise systems
  • Founder-led pilot onboarding and workflow review
  • Security and architecture conversations early in evaluation

Reference conversations, deployment guidance, and security review materials are available during the pilot process.

Outcomes

Measurable relief for production teams

WHAWIT is designed to reduce the operational drag behind incidents: less noise, faster triage, and a shorter path to useful answers.

85%
Faster MTTR
From 45 minutes to under 8
90%
Less alert noise
Fewer duplicates to sort through
2.4M+
Log lines analyzed in seconds
Without hours of manual digging
5 min
Time to guided incident context
No migration required

Product capability

The workflow behind
lower incident drag

WHAWIT is built to reduce noise, surface useful context sooner, and help teams move from alert to action without wasting hours in logs.

Cut responder drag from the first minute

WHAWIT watches incoming signals, deduplicates alert noise, and correlates related activity into one incident so responders start with context instead of chaos.

Fewer duplicate alerts
Faster responder triage
Shared incident timeline
Clearer escalation flow
See the workflow
app.whawit.ai
WHAWIT On-Call Hub showing incident triage and timeline

How it works

How teams cut incident drag

WHAWIT layers onto the tools you already run so teams can reduce noise, shorten investigation time, and reach resolution faster.

Step 01

Connect

Connect your existing monitoring and observability tools with read-only access. No rip-and-replace project, no agent migration.

Step 02

Reduce noise

WHAWIT watches signals continuously, deduplicates alert noise, and correlates related activity so responders work from a single incident view.

Step 03

Resolve faster

Responders get root cause clues, guided investigation, and suggested next steps so the path from alert to resolution is shorter and less chaotic.

Security & Compliance

Enterprise reassurance built into evaluation

Your data stays yours. WHAWIT is built so security, privacy, and deployment questions can be addressed early in the buying process.

SOC 2 Ready

Enterprise-grade security controls and compliance standards built into every layer.

Encrypted at Rest & Transit

AES-256 encryption for all data. TLS 1.3 for every connection. Your logs are never used to train AI models.

Read-Only Access

WHAWIT connects to your providers with read-only API keys. We never modify your infrastructure.

Dedicated Instances

Enterprise customers get isolated infrastructure with dedicated databases and custom domains.

Security review materials, architecture walkthroughs, and pilot scoping support are available during enterprise evaluation.

Run WHAWIT against your real incident workflow

See how WHAWIT would triage alert noise, surface likely root causes, and reduce debugging drag using your real stack and incident patterns before a broader rollout.

Use your real workflow. No rip-and-replace required.

Founder-led pilot onboarding
Read-only access
Security review ready