Enterprise Data AI — Semantic Layer

PrismAI – engineering intelligence

Your DevOps Research Analyst. A flashlight on hidden risks and smoke.

DevOps tells you how you’re performing technically.

PrismAI tells you where you are losing money — and shows you the optimal way to deal with it.

PrismAI is not another technical report — it’s a flashlight focused on hidden risks and “smoke”.

PrismAI builds intelligence from your DevOps data — see where you’ll have burnout or knowledge silos.

PrismAI shows “what actually happens” — convert RCAs to facts vs intuition.

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."

4-7day

Deployment frequency

High performer tier

24h

Lead time commit to production

Avg across all repos

10.7%

Change failure rate

15 of 140 deployments

2.4h

Mean time to recovery

Across 4 incidents

The human factor

Go beyond code. Understand the health of your teams.

Most engineering tools stop at the commit. PrismAI goes further – analyzing the signals that predict burnout, attrition, and knowledge concentration before they become your next crisis.

Early Warning System

PrismAI analyzes signals of burnout and identifies “Knowledge Silos” where critical systems depend on a single person. Identify risk before it turns into attrition or system outages. The bus factor isn’t just a technical metric — it’s a business continuity risk that Prism surfaces continuously, not after the resignation letter arrives.

The Money Factor

Every incident has a price tag. Most leaders never see it.

PrismAI converts engineering incidents into euros. Duration × hourly rate × engineers involved, per incident, per file, per quarter. €536 average cost per incident. €6,428 in one period. Your board can now see the real cost of technical debt.

The "Cost by Root Cause File" chart tells you which two files are responsible for the majority of your incident spend. So you fix the right thing, not the loudest thing.

Prism Cost Attribution — Incident Cost by Root Cause File

Pipeline Health

346 minutes lost to flaky tests. Every sprint.

Pipeline Health shows you CI/CD stage analytics, pass rates, and flaky test tracking, broken down by Build, Unit Tests, Integration, E2E, Security, and Deploy. 83% of total pipeline time is in tests. The Integration stage is your flakiest at 30%.

These aren't vanity metrics. Each flaky run is a developer context switch, a delayed deployment, and a confidence loss in your CI pipeline. Prism names the problem, quantifies the cost, and points to the fix.

Six Answers Your Tools Can't Give You Today

PrismAI refracts your DevOps data into six answers your tools can't give you today.

PrismAI connects GitHub or GitLab, PagerDuty or OpsGenie, and Jira — and calculates what those tools individually can’t show. Every calculation is transparent and auditable.

Answer 01

Which files are causing most of your incidents?

A risk score per file combining change frequency, incident count, and author concentration. The file your team keeps patching — named and ranked.

commit frequency × incident count × author concentration

Answer 02

What did last quarter's incidents actually cost?

Every incident converted to euros — engineer hours × hourly rate × resolution time, per file. CFO-ready numbers, not gut feel estimates.

duration × hourly rate × team size = € per incident

Answer 03

Is your team shipping faster or slower?

PrismAI metrics calculated automatically and benchmarked against Elite / High / Medium / Low industry tiers — always current, never assembled manually the week before a review.

PrismAI tier vs State of DevOps benchmark

Answer 04

What happens when your best engineer leaves?

Single-author files flagged proactively — before a resignation turns bus factor into a crisis. Continuous analysis, not a post-departure emergency.

single-author detection + AI risk flag

Answer 05

Are your on-call patterns creating a reliability risk?

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

after-hours % + weekend commits + on-call distribution

Answer 06

A summary your board can read without a translator.

Monthly engineering health digest. Quarterly C-suite report with AI narrative and one top action. Leadership gets answers — not dashboards.

automated PDF · AI narrative · quarterly Prism benchmark

before and after

Five questions. Two very different answers.

These are the questions your leadership asks before every quarterly review — and the honest answers most engineering teams give today.

Question from leadership	Today	With Prism
Is our team getting faster or slower?	Prism metrics assembled manually the week before the review. Usually presented with "we think."	Automated PrismAI 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.

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How We Work With You

We handle everything. You read the reports.

Three phases. Clear milestones. No surprises — and zero work for your team. We install it, connect your tools, and send the reports.

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 Prism compared
Deployment plan confirmed — not a generic proposal

Phase 2 · Days 6–10

Live in under 2 hours. First report within days.

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

All connectors active: Git, incidents, Jira
Prism 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 PrismAI benchmark and an AI-generated board digest — no translation needed.

Monthly engineering health report
Quarterly PrismAI 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. Self-hosted — nothing sent to a vendor's cloud.

🔺

Why PrismAI?

A prism doesn't change what passes through it — it reveals what was always there. White light enters, and the full spectrum emerges. Your DevOps data already contains the truth about your team's velocity, cost, burnout signals, and hidden risks. Prism breaks it apart into the components you can actually see and act on. The answers were always in your pipeline. Prism just makes them visible.

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, PrismAI tier, bus factor. No commitment. No setup on your side.