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Articles grouped by business problem, industry, and system type.

AI Agent for Code Review: Evidence

Automated code review is a first layer of checks on a pull request, run by an AI agent, for example in Claude Code, before a person looks at it. The agent takes style, dead code, missing tests and departures from conventions. Architecture and business logic stay with the reviewer. At 60 pull requests a month the model costs about €4.36, and the reviewer time given back is worth €419.

AI Agent for Email Personalization: Research and Review

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.

AI Agent for BANT Qualification: A Controlled First Touch

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.

AI-assisted resume screening: triage with recruiter review

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.

AI Agent for Real Estate Leads: Qualification and Handoff

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.

AI Morning Briefing: Is It Worth Building?

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.

AI Invoicing and Time Tracking: Build a Reviewable Workflow

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 Agent Development Guide 2026: From Task to Safe Workflow

An AI agent is an application that recognises a case, picks the next step, calls a permitted tool and records the result in a system. A good agent has one area of responsibility, the smallest permissions it needs, a test set and a route to a person. At Syntalith an agent costs from €3,000 net. At 1,000 cases a month of 8 minutes each, it pays back in 0.9 months.

AI Agent for Freelancers: A Sourced Pre-Call Brief

An AI agent for research before a call goes through agreed sources, separates facts from hypotheses and prepares opening questions, with a source for every conclusion. With 20 calls a month a freelancer gets back 10 hours, or €349, which a template in ChatGPT or Claude reaches more easily. Building an agent for €3,000 net pays back in a sales team with 100 calls in 1.7 months.

AI agents

See the agent on your own cases before you commit.

The agent moves a case through its steps, and actions with consequences wait for approval from the person you name. Before you sign, we write down the goal and a test set built from your cases.

Price
from €3,000 netper agreed process
Time
6–16 weeks
First step
30 min with an engineer, €0written summary within 2 business days

Times are shown in your own time zone. We work with clients across time zones.

See AI agents

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.