What stale documentation costs you, and what Knops gives back
Put in your own ticket volume, team size and salary bands. The model returns deflected tickets, hours returned to engineering and product, and the payback period, for each of the four teams.
See Your ROI in Real-Time
Adjust the sliders to calculate your savings with Knops AI
Support Ops
Engineering
Effective Time Recaptured
+14%
461 hrs/mo recovered across 20 engineers
Product
Time Recaptured
+8%
37 hrs/mo recovered, auto-generated specs & release docs
Sales & Marketing
RFP Time Saved / Month
65 hrs
60% faster responses with auto-generated technical content
Docs Automation
Deflected/Mo
240
MTTR Reduction
25%
Eng Hrs Saved/Mo
461
Payback
3d
FTE Equivalent
17.3
ROI Multiplier
140.8x
Hard Savings /yr
$212,640
Efficiency Value /yr
$1,137,718
Total Project Value /yr
$1,350,358
Before vs After Knops AI
Agent Onboarding Savings
Every agent becomes productive 7.5 weeks sooner, compounding across 5 hires per year.
Projected Savings Timeline
First 30 Days
$162,043
First articles live, deflection begins
60 Days
$540,143
Full sync active, agent training live
90 Days
$1,012,768
Full ROI realized, coverage gaps closing
Knowledge Debt Score
HighBased on your ticket volume, documentation needs, and team size. A higher score means more exposure to stale knowledge, increasing support costs, slower agent ramp, and higher churn risk.
Cost of Inaction
What stale, ungoverned knowledge costs your organization every year if nothing changes.
Every figure here is modelled from published industry benchmarks, not measured customer results. It is an estimate to size the problem with, not a quotation. Bring your own numbers to a walkthrough and we will work through them with you.