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AI for preparing a post-incident review
Short answer
After an incident, an AI agent combines the ticket, the team's conversations and the on-call notes into a timeline with a source beside every entry and a list of open questions for the people involved. The team establishes the cause and the actions at the review. The agent costs from €3,000 net at Syntalith and, with 30 post-incident reviews a month at 240 minutes each, pays back in 1.1 months.
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
- net per agent for one process, build paid once
- from €3,000
- from signing the contract to acceptance
- 6–16 weeks
- free prototype on your cases
- €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
IT teams and AI: statistics 2026
1.1 mo.
payback of a €3,000 agent with 30 post-incident reviews a month: €4,188 of work today, €1,475 with checking and the model. Scenario.
55.8%
According to an experiment by Peng et al. (2023), developers with GitHub Copilot completed a task 55.8% faster than the control group.
Source: Peng et al., The Impact of AI on Developer Productivity (2023) ↗
19%
According to METR (2025), 16 experienced open-source developers took 19% longer when working with early-2025 AI tools, although they expected a 24% speed-up.
Source: METR, Early-2025 AI and experienced open-source developers (2025) ↗
62.5%
According to Eurostat (2025), 62.5% of EU enterprises in information and communication used AI.
Source: Eurostat, Use of artificial intelligence in enterprises (2025) ↗
90%
According to the European Commission (2026), 90% of companies that use AI say people take the decisions, and 2% of decisions are fully automated.
Source: European Commission, Flash Eurobarometer on AI and algorithmic management (2026) ↗
Figures checked: 22 October 2026
What happened before the service came back
The service works again, and everyone brings a different story to the review. The on-call engineer remembers a phone call, the ticket holds the time of the alert, and the team chat describes several repair attempts. One person wrote that a restart helped, and a later entry reports further errors. In the end access returned after a setting was changed. A summary such as „a restart fixed the problem” would lose this sequence.
The agent builds a timeline with a source beside each entry and tells an observation apart from a later explanation. A change and an improvement that happen at the same time do not establish the cause. A difference between accounts need not mean a mistake, because the people involved watched different parts of the service, so the note keeps that difference instead of merging everything into one confident story.
- 01Sourcesthe ticket, alerts, the team chat, on-call notes
- 02Timelineentries with the time and a link to the source
- 03Discrepanciesaccounts that differ, left unresolved
- 04Questionsspecific questions for the people involved, tied to entries
- 05Reviewthe team establishes the cause and the actions, the lead approves the description
What it costs and when it pays back
- Today
- 30 post-incident reviews × 240 min = 120 h (€4,188)
- With the system, a person checks the output in 35% of the time
- €1,466
- Model, 3 calls per case, Claude Sonnet 5.5
- €9
- Cost of one case
- €139.60 today, €49.16 with the system
- Saving
- €2,713 a month
Payback of €3,000
1.1 months
The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 40,000 input and 3,000 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026. The time covers collecting records from several channels, building the timeline and asking the people involved.
The count covers the work around a case: searching, reading, writing and passing things on. What remains is the time to check the output, 35% of today's work in the scenario. Before the quote we measure both times on 20 to 100 cases the team has already handled, in a €0 test that takes 5 working days.
Shorter preparation also changes the meeting itself. When the timeline is ready before the review, the team spends its time on the cause and on preventive actions. Without it, the first half of the meeting goes on working out who did what and when.
A ready-made summary still needs a conversation
Atlassian describes post-incident reviews in Jira Service Management, including a draft that Rovo prepares from the ticket details. If all the findings are in the ticket, that is enough. An agent makes sense when important information sits outside the ticket, in the chat and notes, and the review lead has to ask the people involved to fill in the same event.
All findings in the ticket
a review draft in the ticketing tool
licence
A few incidents a quarter
the lead gathers the story by hand
no build
Many incidents, findings in the chat and notes
an agent that prepares the timeline and questions
from €3,000
Where to start
The first scope covers one team and one type of incident. On a finished incident we compare the note with the participants' account: whether it surfaces the question that needed explaining, and whether a record stands behind every important claim. We build this as part of AI agents. For the free process review, a description of one case from recent weeks and the tools it ran through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.
Worked example · Scenario
How we count the payback: AI in an IT team
We run the same count for your team 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 →