A Help Desk implementation costs money. The natural question is: how do you estimate how much the company will save over the course of a year? The answer depends on the specific organization - the scale of downtime, the number of tickets, and the cost of the IT team. In this article I show the methodology for calculating ROI and model calculations based on explicit assumptions that anyone can substitute with their own data.
Methodology note: The examples below are model ROI calculations built on assumed numbers, not documented implementations. They are meant to illustrate the calculation method. Actual results depend on your company's data, which is why measuring the baseline before implementation is critical.
Sources of ITSM savings
1. Reduced downtime
- Help Desk shortens average ticket resolution time through prioritization and a clear workflow
- Better tracking - tickets do not get lost in email
- SLA and prioritization - critical problems go to the front of the queue
The scale of reduction depends on the baseline. Industry analyses (including Gartner and IDC reports cited by ITSM vendors) suggest that ticket automation can shorten resolution time, but the specific value must be measured in your own organization - before and after the implementation.
2. Increased IT team productivity
- Automation - incoming tickets are automatically categorized and assigned
- Knowledge base - FAQs reduce the volume of repetitive questions
- Self-service portal - users handle some matters themselves (for example, password reset)
3. Compliance and avoided penalties
- Audit trail - all technician actions logged (NIS2, GDPR)
- SLA - avoiding penalties for non-compliance with contracts (enterprise customers require SLAs)
- IT documentation - the CMDB reduces configuration errors
Calculate ROI for your company - with no hidden assumptions.
We will prepare a savings calculation for your company - 30 minutes online.
Example 1: Manufacturing plant, around 200 employees
Model ROI - illustrative scenario. Assume a company with the characteristics below; the numbers are there to show the method, substitute your own data.
Assumptions - state before implementation
- 2 IT technicians (half-time each)
- Assume around 15 IT tickets per day (hardware, software, access)
- Resolution time stretched by the backlog
- Assume around 5 hours/month of production downtime tied to waiting for IT
- Model downtime cost: 200 people x 50 PLN/h x 5 h/m = 50K PLN/month = 600K PLN/year
Assumed cost of ManageEngine SDP implementation
- License: assume around 10K PLN/year
- Implementation (Active Directory integration, data import): around 15K PLN
- Training: around 3K PLN
- Assumed Year 1 TCO: around 28K PLN
Modeled effect
- Shorter resolution time through automation and tracking
- Assume a 40% reduction in downtime (from 5 to 3 h/m)
- Downtime savings: 600K x 40% = 240K PLN/year
- Higher team productivity - less chaos and administrative work
- Work time savings: assume around 50K PLN/year
Model ROI (illustrative): (240K + 50K - 28K) / 28K ≈ 935%
Such a high result is a consequence of the assumed large downtime cost. If actual downtime in your company is lower, ROI will be proportionally smaller. This shows why the number has to be calculated individually - an impressive figure from the example is not a promise. These are explicit assumptions, not a documented case.
Example 2: MSP with 5 clients (100-500 devices)
Model ROI - illustrative scenario. The numbers are assumptions and exist to show the calculation method.
Assumptions - state before implementation
- 3 technicians serving 5 clients
- Support billed per hour - no full view of IT costs
- Assume around 50 tickets per day (across the client mix)
- Tracking in Excel - a significant share of time goes into administration (looking things up, emails)
Assumed cost of ManageEngine SDP + Endpoint Central implementation
- License: assume around 20K PLN/year (3 technicians + multi-tenant)
- Implementation (integrations, configuration per client): around 20K PLN
- Training and documentation: around 5K PLN
- Assumed Year 1 TCO: around 45K PLN
Modeled effect
- Automation - some tickets (password resets, restarts) resolved without involving a technician
- Assume time savings: 15 h/week x 3 technicians x 52 weeks x 80 PLN/h ≈ 187K PLN/year
- Greater service transparency - clients see resolution time against the SLA, making pricing conversations easier
- Assumed revenue growth: assume around 50K PLN/year
Model ROI (illustrative): (187K + 50K - 45K) / 45K ≈ 427%
The result depends entirely on the assumed time savings and revenue growth. Substitute your own data to get a meaningful number.
Example 3: Office, 50 people (software house)
Model ROI - illustrative scenario. The numbers are assumptions illustrating the calculation method.
Assumptions - state before implementation
- 0.5 FTE IT technician (mainly working in Jira, support rarely)
- Every developer has server access - no change control
- Long ticket handling time due to lack of visibility on the IT side
- Modeled loss: assume 50 people x 2 h/week of downtime x hourly rate ≈ 260K PLN/year
Assumed cost of Jira Service Management implementation
- License: assume around 12K PLN/year (50 users in JSM)
- Implementation (integration with Jira Development): around 5K PLN
- Training: around 2K PLN
- Assumed Year 1 TCO: around 19K PLN
Modeled effect
- All IT tickets visible in one place (not in chat or Slack)
- Code integration - a ticket linked to a PR makes change auditing easier
- SLAs and clear response times - better-organized handling
- Assume a 25% reduction in downtime-related losses ≈ 65K PLN/year
- Higher productivity - the technician can plan work better
- Assumed time savings: assume around 30K PLN/year
Model ROI (illustrative): (65K + 30K - 19K) / 19K ≈ 400%
As in the previous examples, the result is a function of the assumptions. You will calculate real ROI only against your company's own data.
ROI calculator - run it for your company
Enter your data - the result updates live:
ROI = (Savings - Year 1 TCO) / Year 1 TCO x 100%
- Savings = Reduced downtime + Productivity growth + Avoided compliance penalties
- TCO = License + Implementation + Training + Year 1 support
Payback time = TCO / (Savings / 12 months)
FAQ
How high can the ROI of a Help Desk implementation be?
There is no single universal number. ROI depends mainly on the scale of costs the implementation lets you reduce - chiefly downtime and IT team work time. The result has to be calculated for a specific company based on its own data. A credible assessment requires measuring the baseline before implementation.
Does ROI depend on company size?
Yes, but more important than headcount alone is the real cost of outages and inefficiency. Larger organizations usually achieve a higher absolute return; smaller ones have higher implementation costs per employee.
What if downtime is low?
Then ROI is driven mainly by IT team productivity and compliance. Implementing a Help Desk organizes the ticket flow and reduces administrative work. The compliance benefit can be significant - in the context of NIS2 the penalty for essential entities can reach up to 10M EUR or 2% of global turnover.
Want the exact Help Desk ROI?
Rotech Group will prepare a savings calculation for your company - with no hidden assumptions.
Book a consultation →