The tag view groups articles by a concrete operational problem or implementation type, without exposing hundreds of raw frontmatter labels.
n8n bills full workflow executions and runs in the cloud or on your own server. Make runs in the cloud and counts credits, usually 1 credit per module action. You choose on one process, including errors, retries and the cost of maintenance. At Syntalith an automation costs from €3,000 net, and with 800 form orders a month at 5 minutes each it pays back in 1.5 months.
n8n is a process automation platform under a fair-code licence: it links steps across apps, from fetching data to saving it and sending a notification. n8n Cloud costs from €20 a month, and the Community Edition has no licence fee, while your own server needs someone to look after it. At Syntalith an automation costs from €3,000 net, and with 150 new supplier requests a month at 20 minutes each it pays back in 2.0 months.
An AI agent in customer service makes sense when you name one task, one source of information and one person for the exceptions. First check what your current helpdesk already does. At Syntalith, reply drafts for approval cost from €3,000 net. At 2,000 emails a month, handling them by hand costs €5,817, and with the system €893, checking and the model included.
OpenClaw is an open-source personal AI assistant under the MIT licence. It runs on the user's device or server and links models, tools and messengers through one gateway. The code is free, and you pay for the model, the server and maintenance, about €332 a month in our scenario. In a company it makes sense when a task needs several sources checked and the next step chosen, with controlled effects.
An AI agent working for one person prepares a morning briefing of the calendar and email, tidies the inbox, gathers sources before a meeting, finds files and reminds you of promises made in messages. It reads and writes drafts, and sending and changes wait for your approval. When it saves 30 minutes a day, about €283 a month is left after the server, the model and maintenance.
You can count an AI agent's return only once you know the process before the rollout: volume, time, corrections and the cost of errors. Subtract a person's checking, the model, hosting and upkeep, and count only the time given back that the company will really use. At 1,200 documents a month, cut from 10 to 7 minutes, with 70% of the time used, a €3,000 automation pays back in 2.1 months.
In a SOC, an AI agent gathers an alert's context: the asset, the user, similar events and the rule's result, proposes a classification with reasons and prepares a ticket. The analyst approves isolating a host, blocking an account and other response actions. The agent costs from €3,000 net at Syntalith and, with 1,500 alerts a month at 5 minutes each, pays back in 1.2 months.
An AI agent in claims processing takes in the claim, checks that the documents are complete against the team's list, reads the policy data, prepares a summary with sources and hands exceptions to the claims handler. The decision on liability, the amount or a refusal stays with a person. At Syntalith the agent costs from €3,000 net, and with 800 claims a month it pays back in 1.3 months.
Computer vision in quality control assesses photos from the line, flags suspect items with the defect marked and sends them to an inspector, who approves the result. You measure accuracy on a sample with labelled defects. The system does not promise 100% detection. At Syntalith the app costs from €3,000 net, and with 6,000 photos a month at 1 minute each it pays back in 1.3 months.
Predictive maintenance with an AI agent makes sense when the plant joins machine signals, maintenance history and a person's decision. The agent collects the data, compares it with history, proposes an inspection and waits for approval. It does not control the line. A system from €3,000 net pays back once it avoids 2.5 hours of downtime, if an hour costs €1,200.
An AI agent in financial reporting collects data from approved sources, gives the origin of every number, flags variances from plan and writes questions to budget owners. The CFO approves a specific release of the report, and any unexplained part of a variance is described as unexplained. At Syntalith the agent costs from €3,000 net, and with 60 variances to explain a month at 30 minutes each it pays back in 4.5 months.
In content marketing, an AI agent gathers sources for a topic, writes a draft to the brief and the brand's style, checks every number against its source and prepares a version for editing. An editor approves the text, and publication waits for a person. The agent costs from €3,000 net at Syntalith and, with 40 texts a month at 240 minutes each, pays back in 0.9 months.
An AI agent in outbound gathers facts about the recipient's company from public sources, writes a personalised email draft with the source of each fact and hands it to a salesperson. A person approves the sending, and you settle the legal basis for contact before the start. At Syntalith the agent costs from €3,000 net, and with 600 emails a month at 10 minutes each it pays back in 1.3 months.
An AI agent for lead qualification collects BANT information from the form, emails and the company website: budget, authority, need and timing. It asks about the gaps and saves the result in the CRM with the source of each answer. The salesperson gets the lead with a note and decides on the call. At Syntalith the agent costs from €3,000 net, and with 400 leads a month at 12 minutes each it pays back in 1.4 months.
An AI agent for CV screening extracts facts from the documents, sets them against the job requirements, prepares follow-up questions and marks uncertainty. Every application stays in, and the recruiter decides. Our own ATS with a voicebot saves a technology company's HR team about 3 to 4 hours per candidate, according to the client. The agent costs from €3,000 net and, with 400 applications a month at 12 minutes each, pays back in 1.5 months.
A practical guide to an e-commerce agent that reads order state, prepares returns, collects complaint details and routes exceptions. Learn when a chatbot is enough and where human approval belongs.
An AI agent for a real estate agency takes an enquiry, recognises what the client is looking for, gathers missing data with open questions and prepares a case card in the CRM for the property agent. It rejects no client automatically, and negotiation, choosing a tenant and assessing financial capacity stay with people. The agent costs from €3,000 net at Syntalith and, with 600 enquiries a month at 8 minutes each, pays back in 1.4 months.
Choose one accounting-firm queue for AI support: document collection, completeness checks or routine status updates. Keep professional judgment and exceptions with the accountant.
A morning briefing from an AI agent is one document in place of the calendar, email, tasks and CRM opened one by one. Each section names its source and date, gaps are flagged, and the agent works read-only and sends nothing on the user's behalf. At Syntalith an agent costs from €3,000 net, and with 440 briefings a month at 15 minutes each it pays back in 1.1 months.
An AI agent for service invoices sets the recorded working time against the contract terms, points out hours not assigned to a project and prepares a draft bill for the manager to approve. Issuing the invoice in the e-invoicing system (KSeF in Poland) is a separate stage after approval. The agent costs from €3,000 net at Syntalith and, with 150 client bills a month at 30 minutes each, pays back in 1.6 months.
AI automations
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