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ROI Calculator

Estimate your potential savings with DevOps AI. Calculations are based on published market data from industry analysts.

Calculate Your Savings

Full-time service desk and field engineers
Total monthly ticket volume across all clients
Blended cost per technician hour (fully loaded)
Total managed clients in your portfolio
525
Tickets Reduced
per Month
219 hrs
Hours Saved
per Month
$18,594
Monthly
Savings
$223,125
Projected Annual
Savings

How We Calculate These Numbers

Our ROI estimates are grounded in published industry research, not aspirational projections.

30–40%
Ticket reduction achievable through AI-powered automation, based on SDI research into service desk automation outcomes.
$180K–$275K
Projected annual savings per 50-person MSP from AI automation, including labor savings, reduced tool licensing, and efficiency gains.
86%
Reduction in ticket escalations demonstrated by AI-powered ticket automation implementations in MSP environments.
~10%
Average MRR recovery when billing reconciliation is automated, capturing missed seat additions and license discrepancies.
Source: Based on Gradient MSP data

Calculation Methodology

The calculator uses a 35% ticket reduction rate (midpoint of the 30–40% range from SDI Research) and an average resolution time of 25 minutes per ticket. Monthly savings are computed as: (reduced tickets × 25 min ÷ 60) × hourly rate. Annual savings project this monthly figure across 12 months.

These estimates are conservative — they account only for direct ticket-handling labor savings. They do not include additional value from billing reconciliation revenue recovery (~10% MRR uplift), QBR preparation time savings (80–95% reduction), reduced tool licensing costs, or improved client retention from predictive churn management.

Additional Value Not Captured Above

Billing Reconciliation

Three-way automated reconciliation recovers an average of 10% of MRR from missed seat additions and license discrepancies. For a $500K MRR business, that's $50K/month in captured revenue.

QBR Preparation

AI-orchestrated QBR prep saves 3.5–7.5 hours per client. A vCIO with 40 clients recovers 140–300 hours per month — equivalent to an additional full-time employee.

Tool Consolidation

Replacing 8–12 separate tools with one platform reduces total licensing costs, eliminates integration maintenance, and removes context-switching overhead for every technician.

Client Retention

Predictive churn scoring and proactive intervention can improve client retention from 89% to 95%. For a $500K MRR business, each percentage point saved equals $5K/month in retained revenue.

Compliance Efficiency

Collect-once, satisfy-many evidence collection reduces compliance effort by 50–70%. For MSPs offering compliance services, this directly improves service margin.

Onboarding Speed

New technician ramp-up drops from 6–12 months to 3–4 months with the AI tutor and adaptive learning paths. Faster productivity means faster revenue per headcount.

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