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How AI can help assess IT ticket priority
Short answer
AI points to the passages in an IT ticket about the impact on work and the urgency, for example a blocked order-handling team, and to the gaps to ask about. The duty agent sets the priority by company rules. In a scenario with 1,500 tickets a month, a form with impact and urgency fields cuts errors from 20% to 8%, and fine-tuning to 4%, which together save 24 hours of corrections, €838 a month.
How we workDetails ↓
- 01Call30 minutes with an engineer, free
- 02PrototypeA working system on your process and data, free
- 03ImplementationTarget and fixed price in the contract; 50% at signing
- 04Acceptance50% once the agreed target is met
- model on your server or in the cloud in the EU
- quoted after the review
- same work in application with EU cloud model
- from €3,000
- task, data and equipment analysis
- €0
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
Author: Syntalith · 3 min read
Statistics
Ticket handling and AI: statistics 2026
24 h
fewer corrections a month at 1,500 tickets: a form with impact and urgency fields cuts errors from 20% to 8%, fine-tuning to 4%, at 6 min per correction. Scenario.
15%
According to Brynjolfsson, Li and Raymond (2025), customer service agents supported by AI resolved on average 15% more issues an hour, in a study of 5,172 people.
Source: Brynjolfsson, Li and Raymond, The Quarterly Journal of Economics (2025) ↗
30%
According to Brynjolfsson, Li and Raymond (2025), less experienced agents with AI raised the number of issues resolved an hour by 30%.
Source: Brynjolfsson, Li and Raymond, The Quarterly Journal of Economics (2025) ↗
11.8%
According to Eurostat (2025), 11.8% of EU companies with at least 10 employees used AI to analyse written language.
Source: Eurostat, 20% of EU enterprises use AI technologies (2025) ↗
20.0%
According to Eurostat (2025), 20.0% of EU companies with at least 10 employees used AI.
Source: Eurostat, 20% of EU enterprises use AI technologies (2025) ↗
Figures checked: 22 October 2026
The same sign-in problem, a different impact
One ticket says: „I can't sign in. The problem affects only my account.” Another: „Nobody in the order-handling team can sign in. The whole team is blocked from taking orders.” Both describe an access problem, and the second contains information about a team's work being stopped.
For the first, the tool points to the passage about one account; for the second, to the information about the whole team. What is still missing is how much the response time matters for the work described. The duty agent sees that gap as a question to clarify. The model must not read silence about the effects as confirmation that they are small, and one person's problem can also be urgent because of their tasks.
- 01Textthe ticket description, unchanged
- 02Impactthe passage about whose work is stopped
- 03Urgencythe passage about when access is needed
- 04Gapsquestions for the author
- 05Priorityset by the duty agent according to the company table
- It does not set a priority and does not lower one on its own
- It does not treat missing information as a small impact
- It does not replace the team running incident response
What a simpler change gives and what training adds
- Today: 20% errors × 1,500 × 6 min
- 30 h × €34.90 = €1,047
- After a change without training (a form with impact and urgency fields): 8%
- 12 h (€419)
- After fine-tuning: 4%
- 6 h (€209)
- The simpler change saves 18 h, and fine-tuning adds 6 h (€209) a month
You compare fine-tuning with the cost of examples, training and re-evaluation
The error shares and the correction time are the scenario's assumptions, which we measure on the client's cases not used for training. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat.
In this count a form with impact and urgency fields gives most of the effect at a fraction of the cost. Training makes sense at a larger scale or when the remaining errors are expensive. A fluent summary will not help if it leaves out the sentence about blocked order taking, so we count a missed impact separately from other errors.
- Evaluation cases kept apart from training examples
- The same set for the current model, the simpler change and the adapted model
- Answers prepared by the people who correct the results today
- Errors counted separately for each kind of mistake
- A plan to re-evaluate after a change of base model or process
The set of training examples needs maintaining: when the process, the naming or the base model changes, the evaluation is repeated on the same test set. We include that cost in the quote together with the training itself.
The model reads the description, the rules set the priority
Atlassian separates impact on business processes from urgency, and in Jira Service Management the priority follows from combining both. The company table sets how approved impact and urgency ratings translate into a priority. The model helps find their basis in the text. As a result, a change to the table does not require retraining the model. Choosing the team for a case is covered in the article on classifying service tickets.
Authors give impact and timing in a form
fields and rules in the current system
configuration
Tickets by email, details in a long description
a ready model that quotes the passage
an app from €3,000
The model misses company shorthand and timing
fine-tuning on cases assessed by duty agents
priced after the comparison
Where to start
Duty agents review the proposals on tickets not used to adapt the model. For the call, describe one wrongly assessed ticket and the information that should have changed the decision. We adapt models as part of private LLMs, and build the app where an employee sees the result next to the source as part of AI apps. For the free process review, a few examples of an error that keeps coming back and a note of who corrects it today are enough.
Worked example · Scenario
How we count the payback: an IT team
We run the same count for your queue in the free process review.
€4,188
a month for searching the documentation for answers to 600 questions
Payback: 0.8 mo.
12 minutes to find an answer or ask a colleague and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 6,000 + 500 tokens per answer from the documents, at the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →
