PlayerZero · AI Production Engineering

AI ROI Calculator for Software Delivery

This measures the ROI of AI after code is written, not the ROI of code generation. Once writing and merging code gets faster, the bottleneck simply moves downstream: triage, diagnosis, review, and release become where the time goes. Set your numbers below to see what shared context is worth across those stages.

Average time to resolve a ticket13h

Include only hours of effort, not elapsed time.

Number of escalated tickets to engineering per month8

Most teams can pull this straight from Zendesk or Jira.

Fully loaded engineer cost$200K/yr

Engineering hours back, annually

955.2h

Estimated annual savings

$92K

At 8 escalated tickets a month, 13h of effort to resolve each, and a $200K/yr loaded cost. Both numbers are the gap between today and context shared across engineering, not the after scenario on its own.

Hours/year, before

1,248h

at 8 escalations to engineering a month

Hours/year, after

292.8h

same stages, same people

Before

1,248h

After

292.8h

Your Results with PlayerZero

Choose a stage to explore

Support & Triage

From the first report to a routed, understood ticket.

Before · 1.9h

0.4h

Intake & holding reply

L1 Support · Zendesk

0.3h

Escalation into #enghelp

L1 + Support Eng · Slack

1.2h

L2 triage

Support Engineer · Zendesk, GitHub, Confluence

Every ticket starts from scratch — support pieces together context from old tickets, Slack threads, and tribal knowledge before they can even confirm what's broken.

After · 0.15h

0.1h

Posted to #supportescalations

L1 Support · Zendesk → Slack

0.05h

Ask PlayerZero on the thread

L1 Support · Slack, /ask_playerzero

0h

Intake, triage, memory search

Automated stage · PlayerZero, Zendesk, Datadog

PlayerZero already recognizes the pattern, so triage becomes confirmation instead of investigation, and the ticket routes with root cause attached.

Hours saved, per ticket

1.75h

Annually, your team

$16K

Monthly

$1K

Compounds with repeats

Here is one sample month of escalated tickets, plotted as a running total. The grey line is the cumulative cost before PlayerZero; the green line is the cumulative cost with it. The band between them is the time saved so far. Hover any point to see the totals and where the time goes, stage by stage.

Stop wasting cycles on repeat issues. PlayerZero remembers the failure shape from the first time an issue was worked and shortcuts it.

 Cumulative before PlayerZero Cumulative with PlayerZero

Scenario is illustrative, not measured against customer data. Hours reflect effort per stage, not elapsed calendar time. No platform cost is included here, this is before/after time only. Ticket-resolution reductions shown here are a modeled illustration, pending real benchmark data. The repeat-failure estimate in your exported report assumes 20% of escalations are repeats, a fixed placeholder rather than a customer-derived figure, since no data exists yet to make this reliably tunable.