Case Studies / Prometric
How Prometric Saved Weeks of Manual Reporting Time With Real-Time Engineering Insights
FineTune, a subsidiary of Prometric, unified Jira and GitHub into a real-time source of truth — unlocking 50% faster PR cycle times, 40+ hours of productivity back per leader, and audit-ready billing accuracy.
Faster PR Cycle Time
~50%
Time to open, review, and merge dropped by 40–50% — work moved through the pipeline without stalling.
Hours Saved Per Year
40+
Manual spreadsheet reporting was completely eliminated across engineering leadership.
Financial Accuracy
100%
Real activity data replaced story-point guesswork for client billing and cost capitalization.
Faster PR Cycle Time
~50%
Time to open, review, and merge dropped by 40–50%.
Hours Saved Per Year
40+
Manual spreadsheet reporting completely eliminated.
Financial Accuracy
100%
Real activity data replaced story-point guesswork.
See why engineering leaders at high growth companies use Optimal AI
"It's like working with your eyes open. I'm no longer the bottleneck... The whole team has direct access to insights in real-time."
Kat Heath
Director of Project Management, Prometric
FineTune, Prometric's engineering subsidiary, was drowning in manual data work. Their Director of Project Management, Kat Heath, was spending half a day every few weeks reconciling data from Jira, GitHub, and spreadsheets just to produce a single snapshot of engineering health.
After adopting Optimal AI Insights, Prometric replaced fragmented, lagging reports with a unified real-time dashboard — giving every developer, lead, and executive direct access to the metrics that matter.
Prometric's Engineering Org Was Running on Spreadsheets
Tracking engineering health was a retrospective, manual process. The data was scattered across Jira, GitHub, and spreadsheets — and insights only arrived after sprints ended, too late to act on:
- Half a day of manual data entry every few weeks to reconcile metrics into a single view
- Lagging indicators — insights only generated after sprints ended, making mid-flight pivots impossible
- Subjective financials — client billing and cost capitalization relied on story-point estimates rather than verifiable effort data
"Before bringing on Optimal, we were focused on the work right in front of us."
Kat Heath
Director of Project Management, Prometric
The result was a leadership team perpetually reactive — unable to spot bottlenecks before they became blockers, and unable to prove engineering value to finance with anything more than "story-point guesswork."
Real-Time Visibility Across Jira, GitHub, and Every Team
Prometric implemented Optimal AI Insights to unify their Jira and GitHub data into a single pane of glass — replacing manual correlation with dynamic dashboards and AI-generated narratives that explain the "why" behind every metric.
Unified Teams View
Dynamic dashboards for Strike Teams — hybrid squads pulled from various departments — with real-time status for every member.
Allocation Intelligence
Instant confirmation of active contributors and PR review distribution, removing guesswork from capacity planning.
Pipeline Velocity
PR Cycle Time used as a core KPI to ensure work moves through the engineering pipeline without stalling.
AI Insights
The platform narrates the story behind the metrics — developers and managers spot bottlenecks instantly without digging through months of history.
"Optimal is the first place I go when I need to understand what's happening in our teams. I use it constantly. Everything I need is right there, and it's given us a level of clarity we never had before."
Kat Heath
Director of Project Management, Prometric
50% Faster Cycles, 40+ Hours Back, and Audit-Ready Billing
The shift to real-time intelligence delivered immediate velocity improvements and financial precision:
- ~50% faster PR cycle time — 40% drop in review time, 45% drop in time to merge
- 40+ hours per leader saved annually by eliminating manual spreadsheet reporting
- 100% billing accuracy — hard activity data replaced story-point estimates for capitalization
- Developers self-correct mid-sprint using real-time AI Insights
- Leadership operates proactively — spotting bottlenecks before they become blockers
"Optimal puts the data directly in our developers' hands. They can course-correct mid-sprint and understand the narrative behind their work instantly."
Kat Heath
Director of Project Management, Prometric
"It's like working with your eyes open. I'm no longer the bottleneck — the whole team has direct access to insights in real-time."
Kat Heath
Director of Project Management, Prometric
The Impact in Numbers
Before and after metrics for Prometric's team using Optimal AI Insights
Real numbers verified by the leaders using the tech.
Metric
Before Insights
After Insights
Improvement
PR Cycle Time
Lagging, retrospective data — only visible after sprints ended
Real-time visibility; pipeline velocity tracked as a core KPI
Team Autonomy
Reactive; developers dependent on managers for status updates
Proactive; self-serve insights let teams course-correct mid-sprint
Leadership Time
Half a day of manual spreadsheet entry every few weeks
Instant automated reporting via unified Jira + GitHub dashboard
Billing Accuracy
Subjective "story-point" estimates with no audit trail
Verified, audit-ready data for cost capitalization and invoicing
Reporting Process
Data siloed across Jira, GitHub, and spreadsheets
Single pane of glass with AI-generated narrative insights
Cut cycle time by 50% and get visibility into engineering productivity
Start reviewing PRs faster, catching issues earlier, and shipping with confidence.
