EP
AKEYLESS · ENGINEERING

Executive

Cloud Cost Severity Trend Escalations Release Success
i Cloud Cost as % of Revenue Total cloud spend (AWS + GCP + Azure) as a share of trailing-12-month revenue. B2B SaaS benchmark: 8–15% is healthy. cloud_spend / ttm_revenue
CLOUD COST
% OF REVENUE
%
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i Customer Escalations Issues escalated to engineering by CS this month. Direct signal of product quality as experienced by customers. labels = "CS-Escalation"
CUSTOMER
ESCALATIONS
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i Roadmap Commitment Hit Rate % of quarterly strategic initiatives delivered by their committed date. Measures forecasting reliability — the basis for cross-functional planning with Sales, Marketing, and CS. on_time_items / committed_items
ROADMAP
HIT RATE
79% +4pts
11 of 14 delivered · 2 at risk · 1 delayed
i Release Success Rate % of production releases that shipped without causing an incident, rollback, or hotfix. Measures the customer-impact quality of our releases. clean_releases / total_releases
RELEASE
SUCCESS RATE
82% −7pts
GitHub Deployments · pending live wire
AI Business Impact i AI Business Impact Measurable business outcomes from AI-assisted engineering — did AI make us deliver more, faster, cheaper, or with better quality?
i Capacity Leverage Engineering capacity gained through AI vs AI tooling spend. Capacity value = lead-time reduction × eng cost. est_capacity_value_$ / ai_tool_cost_$
CAPACITY
LEVERAGE
6.4× ↑ from 4.8× Q1
Every $1 in AI tooling → $6.40 of engineering capacity
i Delivery Speed Change in feature lead time since AI rollout in Q1. Baseline: median lead time pre-rollout. Current: median over trailing 30 days. (baseline_lead_time − current) / baseline
DELIVERY
SPEED
−21% ↑ better
Lead time 4.1d → 3.2d · feature delivery 21% faster
i Quality Impact Rework rate delta: AI-assisted PRs vs human-only PRs over 90 days. Guardrail metric — negative means AI PRs need more rework. Green ≥0%, Yellow −1 to −3%, Red worse than −3%. ai_pr_rework − human_pr_rework
QUALITY
IMPACT
−2% monitor
Slight degradation · watch
i Capacity Reinvestment Where AI-recovered engineering hours went. Shows only the AI-saved hours and how they were reinvested — not total capacity allocation. saved_hours_by_category / total_saved_hours
CAPACITY
REINVESTMENT
68% roadmap
68% Roadmap 22% Platform 10% Support
Severity Trend i Incident Severity Trend Monthly count of production incidents by priority over the trailing 12 months, sourced live from Opsgenie. P1 = customer-facing, P2 = major degradation, P3 = minor impact. → flat
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Engineering Investment Mix i Engineering Investment Mix How total engineering capacity is allocated. Roadmap = new strategic value. Maintenance = KTLO & tech debt. Interruptions = firefighting & unplanned support. Maint ↑ 4pts
62%
−6pts on roadmap
62% Roadmap 26% Maintenance 12% Interruptions
Hiring Risk i Open Critical Roles Senior+ roles tagged as critical to roadmap delivery. Both 30d+ open roles are blocking initiatives currently flagged at risk. 2 over 30d
4
open critical roles
3
Backfills
1
New roles
47d
Oldest open
2
Blocking roadmap
Cloud Cost i Cloud Spend Total MTD spend across AWS, GCP, and Azure. Click to drill into tenant attribution. sum(AWS + GCP + Azure)
MTD · AWS + GCP + Azure
× Back to MTD
Total Month-to-Date
vs. prior month
$ / Customer
% of Revenue
Amazon
Google
Azure
Monthly Trend
AWS GCP Azure
12-MONTH RUN RATE · loading…
View tenant breakdown →
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Change failure rate climbed to 18% (was 11% in Q1)
Concentrated in Platform team — auth service migration. Mitigation in flight, expected back to baseline by end of next month.
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2 senior engineers departed — both regretted attrition
Both cited workload and on-call burden. Org-wide on-call review in progress, findings by end of month.
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This Month's Story
VPE NOTES

Roadmap predictability is improving, customer experience is not. We've delivered 11 of 14 quarterly strategic initiatives on time, including the Entra ID SSO rollout that unblocked two enterprise deals. Hit rate of 79% is up 4 points from last quarter and gives Sales and CS confidence to commit to customers. Two initiatives are at risk for end-of-quarter; one is slipping to next quarter.

Customer impact tells a different story. Escalations rose this month and Sev1/Sev2 incidents climbed — up from prior month. The pattern is concentrated in the Platform team's auth service migration; mitigation is in flight and we expect a return to baseline by end of month. Release Success Rate dipped to 82%; concerning, but a one-month event tied to a known cause, not a systemic shift.

Cost efficiency is on track. Cloud spend as a share of revenue continues its slow decline and sits within the B2B SaaS benchmark. Engineering cost as a percentage of TTM revenue is comfortably within range.

People and hiring are the risks worth your attention. Two regretted departures, both citing workload. 4 critical roles open, two of them past the 30-day mark — both blocking initiatives currently at risk. KTLO capacity has crept up over the quarter; if it continues, future roadmap will compress.