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AI knowledge base for seasonal operations
Short answer
An AI knowledge base joins the instructions of several teams needed for a seasonal task into one answer with links, and asks which campaign the employee is closing when the question does not say. At Syntalith an AI app on company documents costs from €3,000 net. At 400 questions a month with 10 minutes of searching each, it pays back in 1.5 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 application, fixed price before contract
- from €3,000
- from signing the contract to acceptance
- 4–10 weeks
- free prototype on your documents
- €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
AI knowledge bases: statistics 2026
1.5 mo.
payback of a €3,000 app at 400 questions a month: €2,327 of searching today, €355 with the app. Scenario.
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) ↗
55.0%
According to Eurostat (2025), 55.0% of large EU enterprises with 250 or more employees used AI.
49%
According to Anthropic (2024), combining contextual embeddings with BM25 search cut failed retrievals by 49%, and by 67% with reranking.
50%
According to the European Commission (2026), half of EU SMEs and mid-caps name high investment costs as a barrier to AI.
Source: European Commission, Flash Eurobarometer 578 (2026) ↗
Figures checked: 22 October 2026
Summer closeout continues while autumn preparations begin
A company is closing its summer promotional stands and preparing the autumn ones. The warehouse instruction requires a list of the display material and its handover to the collection point. The campaign closing arrangements name the coordinator who receives the list and questions about gaps. The library already holds the new plan for the autumn stands, while the employee is still settling the summer.
Warehouse
handover instruction
A change of collection point goes into the warehouse instruction.
Coordinator
closing arrangements
A new contact goes into the campaign arrangements.
Manager
split between seasons
Names who updates each part.
Someone coming back after a break finds the guidance without piecing together changes from several teams' conversations. The publication date does not set the stage of the work. Autumn preparations may be under way while some people are still settling the summer, so the answer follows from the campaign the employee is closing, whatever the date of the file in the library.
What a seasonal knowledge base costs and when it pays back
- Today
- 400 questions × 10 min = 66.7 h (€2,327)
- With the system, a person checks the output in 15% of the time
- €349
- Model, 1 call per case, Claude Sonnet 5.5
- €5.97
- Cost of one case
- €5.82 today, €0.89 with the system
- Saving
- €1,972 a month
Payback of €3,000
1.5 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: 6,000 input tokens and 500 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.
The model is a small item here. The result depends on the time that searching and asking around take today, and on how much of it is left for checking the answer. In season the number of questions jumps, so we count the scenario for the month when a campaign closes and opens.
Before we quote a build, we run a test on 20 to 100 questions the team has already asked: we compare the app's answer with what an employee found by hand and measure the time from the question to the source. The test takes 5 working days and costs €0.
When a calendar and a clearly labelled folder are enough
With a few instructions, a shared season page, a work calendar and clear folder names are enough. HubSpot describes scheduling the publication, update and removal of knowledge base articles for a set day and time, available on the relevant plans. An app makes sense when questions join the campaign schedule with instructions and contacts kept in different places.
A few instructions per season
a season page and a calendar
no new app
Articles with publication and removal dates
a schedule in your current knowledge base
configuration
Schedule, instructions and contacts in different places
an AI app that joins the sources
from €3,000
Start with one cycle of work
Start with one seasonal task where the team most often looks for help. With the manager we name the material and who maintains it between seasons, without moving the whole company library. The project proves its worth when the person closing the season prepares the list without asking the coordinator. The scope is described on the private ChatGPT for your company page.
Worked example · Scenario
How we count the payback: answers from company documents
We run the same count for your documents in the free analysis.
€3,723
a month for finding answers to 800 questions in documents
Payback: 1 mo.
Our assumptions are 8 minutes to find an answer in documents or ask a colleague, and checking in 15% of the old time. €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 documents, at the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →
