ROI and Business Case

[YourCompany.com] · IT Department · Prepared by FullSpec · [Today's Date]

This document sets out the financial and operational case for automating your IT helpdesk request handling process. It translates the time your team currently spends on manual triage, logging, assignment, and follow-up into a concrete dollar figure, then shows what changes after automation and how quickly the investment pays for itself. The numbers are drawn from your confirmed process mapping session and benchmarked against IT operations data in the FullSpec system. Where assumptions have been made, they are logged in the final section so you can substitute your own figures.

01What the current process is costing you

The three highest-friction steps in your current process are the points where time is lost most consistently and where the risk of a ticket being missed or misjudged is highest.

• Assess and Categorise the Request (Step 2, ~8 min per ticket): With no standard intake form, the IT team member reads free-text emails or Slack messages and makes a category judgement from scratch every time. Incomplete information is common, so clarification back-and-forth adds further delay. Failure mode: requests are miscategorised or parked while awaiting more detail, pushing response time out by hours.
• Set Priority Level (Step 4, ~5 min per ticket): Priority is assigned by personal judgement with no written rubric. Senior staff requests routinely displace genuine urgent issues from other employees. Failure mode: true P1 incidents sit in the queue behind low-urgency requests, and SLA breaches go unnoticed until the manager manually scans the tracker.
• Follow Up on Stalled Tickets (Step 8, ~15 min/day): The IT manager manually reviews the tracker every day to find tickets that have not moved in 48 hours and sends chaser messages via Slack or email. This step consumes the most manager time and creates a recurring scramble. Failure mode: stalled tickets are missed during busy periods, employees escalate verbally, and trust in the process erodes.

02What changes after automation

Once the automation is live, the three agents handle intake, classification, assignment, and notification without any manual input. A new request arrives through email, a form, or a Slack command and the Triage and Priority Agent classifies and scores it in seconds. The Assignment and Notification Agent picks the right technician and confirms the assignment to both parties via Slack. The Escalation and Resolution Logger watches open tickets for SLA breaches and writes a structured resolution note to the Notion knowledge base the moment a ticket is closed. Your team's remaining involvement is working the ticket itself and reviewing the rare escalation that PagerDuty surfaces. Every other step runs without anyone touching it.

03Before and after comparison

04Tool costs

05Net ROI summary

06Assumptions log

All figures marked 'FullSpec estimate' are based on aggregated data from completed process mapping sessions in the FullSpec system and benchmarked against third-party IT operations data. If your actual hourly rate is higher than $50, the saving scales proportionally: at $60/hr the annual staff saving rises to $21,000 and year-1 net saving increases to $13,200. If your request volume grows by 20% (to ~108 requests/month), the automation absorbs the extra load at no additional staff cost, while a manual process would require the equivalent of roughly one extra hour of staff time per week. The payback period is most sensitive to the build cost and hourly rate. If Slack, Google Workspace, and Freshdesk are already paid for, the incremental tool spend drops to $948/year, which shortens break-even to under three months. FullSpec encourages you to substitute your own confirmed rates in any cell marked 'FullSpec estimate' to produce a tailored projection. Contact the FullSpec team at support@gofullspec.com to request a revised model with your numbers.