Enterprise Data AI — Semantic Layer

Engineering Intelligence Platform

Stop paying for the same incidents quarter after quarter.

IWDora shows you which files break most, what each incident costs in engineer hours, and who is the only person who can fix it.

Zero work for your team.

We install it, connect your tools, and send the reports. You just read them.

No commitment. Demo runs on your own data.

Engineering Risk Summary · Q2 2025 Live

Highest-Risk File

auth/session.ts

Caused 43 incidents · Only 1 engineer understands it · Not reviewed in 14 months

94/100

CRITICAL RISK

What Incidents Cost You This Quarter

3 files · 6 engineers · 11 incidents

Average 4.2 hours to resolve each incident

€18,400

↑ 23% vs last quarter

Knowledge Risk — Who Else Can Fix This?

4 critical files

Only one engineer knows each of these — no backup

FLAG: 4 FILES

Delivery Speed Trend

How fast are we shipping vs last quarter?

Improving
High → Elite tier ↑

◈ "auth/session.ts is responsible for 61% of your incident cost this quarter. It has a single known author who has not touched it in 14 months. This is your highest-priority action."

3–4×

Longer to resolve incidents without file-level root cause

IWDora pinpoints the file before guessing starts Source: DORA State of DevOps research

€0/seat

No per-developer monthly fee

vs €60–80/dev/mo for LinearB or Jellyfish

<2hrs

To install and connect your existing tools

IWConnect handles the full setup — your team does nothing

100%

Your data stays in your own environment

Nothing sent to a vendor's cloud — full auditability

Why this matters

Your tools generate data. None of it tells you what's going wrong — or what it costs you.

Your repo, your incident tool, your project tracker — none of them talk to each other. So no one can answer: which code causes most of our problems, and what is it costing us?

⚡

The same incidents keep happening — because no one knows which file causes them.

2 to 5 files cause 60–70% of all production incidents. The team fixes the symptom each time. The root-cause file stays in production because nothing connects commit history to incident frequency to cost.

📊

When the board asks if delivery is improving, the honest answer is: we don't really know.

Most teams calculate DORA metrics manually before each review — or not at all. The result is a hedged estimate instead of a data-backed answer.

🧠

If one engineer leaves tomorrow, how much of your system goes with them?

Critical parts of most codebases are understood by exactly one person. This stays invisible until that person resigns — and the emergency knowledge transfer begins.

What IWDora Shows You

Six answers your tools can't give you today.

IWDora reads from GitHub or GitLab, PagerDuty or OpsGenie, and Jira — and calculates what those tools individually can't show. Every calculation is transparent and auditable.

Connects to your existing tools

GitHub or GitLab✓ Supported

PagerDuty or OpsGenie✓ Supported

Jira✓ Supported

CI/CD PipelinesOn roadmap

SonarQubeOn roadmap

File Risk

Which files are causing most of your incidents?

A risk score per file — combining change frequency, incident count, and author concentration.

commit frequency × incident count × author concentration

Cost Attribution

What did last quarter's incidents actually cost?

Every incident converted to euros — engineer hours × hourly rate × resolution time, per file.

duration × hourly rate × team size = € per incident

Delivery Health

Is your team shipping faster or slower than last quarter?

DORA metrics calculated automatically and benchmarked against industry tiers — always current.

DORA Elite / High / Medium / Low — vs State of DevOps benchmark

Knowledge Risk

What happens when your best engineer leaves?

Single-author files flagged proactively — before a resignation turns this into a crisis.

single-author file detection + AI narrative risk flag

Operational Risk

Are your on-call patterns creating a reliability risk?

After-hours deploys, weekend commits, and on-call concentration identify teams operating unsustainably — before it becomes an outage.

after-hours %, weekend commit heatmap, on-call distribution

Executive Reports

A summary your board can read without a translator.

Monthly digest for engineering leadership. Quarterly C-suite report with AI narrative and one top action.

automated PDF digest · AI narrative · quarterly DORA benchmark

before and after

Five questions. Two very different answers.

Question from leadership	Today	With IWDora
Is our team getting faster or slower?	DORA metrics assembled manually the week before the review. Usually presented with "we think."	Automated DORA trend, always current — Elite / High / Medium / Low against the State of DevOps benchmark.
Which code causes most of our outages?	Unknown. Post-mortems name symptoms. The actual files are never identified.	File risk score combining commit history and incident count. Top 2–5 files named, ranked, and reported monthly.
What did our incidents cost last quarter?	Engineer time is never converted to money. The cost stays invisible until it repeats.	Incident cost = duration × hourly rate × severity. Calculated per incident, per file, per quarter. CFO-ready.
What happens if our lead engineer leaves?	Nobody knows until it happens. Emergency knowledge transfer starts under pressure.	Continuous bus factor analysis. Single-author files flagged before any resignation forces the issue.
Are we getting value from our tooling spend?	€60–80 per developer per month across multiple SaaS tools. Calculations are opaque.	Self-hosted. No per-seat fee. All metrics in one deployment with fully transparent, auditable calculations.

How We Work With You

We handle everything. You read the reports.

Three phases. Clear milestones. No surprises — and no work for your team.

Phase 1 · Days 1–5

We understand your setup before touching anything

We map your toolchain and document the questions your leadership needs answered.

Git platform, incident tool, and Jira reviewed
Current SaaS tooling cost vs IWDora compared
Deployment plan confirmed — not a generic proposal

Phase 2 · Days 6–10

Live in under 2 hours. First report within days.

We deploy IWDora, connect your tools, and deliver your first engineering health report — fast.

All connectors active: Git, incidents, Jira
DORA tier classification delivered
Top risk files, incident cost, and bus factor in your first report

Phase 3 · Month 2+

Monthly to engineering. Quarterly to the C-suite.

Leadership gets a quarterly DORA benchmark and an AI-generated board digest — no translation needed.

Monthly engineering health report
Quarterly DORA benchmark vs industry data
Option to take the license or keep us managing it

No lock-in. Take the license and run it independently, or let us manage it. The data and calculations are always yours.

Want to see it on real data?

One file is causing most of your incidents. Let's show you which one.

We’ll run a live example – top risk files, incident cost, DORA tier, bus factor. No commitment. No setup on your side.