An AI agency is a company that designs, builds and maintains AI systems for other businesses: automated workflows, AI agents, chatbots, integrations and custom AI products. You hire it to get a working system in your business, not to learn about AI.
The label covers very different companies, but the useful ones do four things:
Find the right process. They audit how work flows through your company and pick the tasks where AI saves real time or money: repetitive, rule-heavy, high-volume work such as lead qualification, support triage, document handling and reporting.
Build the system. This is usually a mix of language models, workflow tools such as n8n or Make, custom code, and connections to the software you already use (CRM, helpdesk, email, databases).
Put it in production. A demo that works once is not a system. A good agency adds error handling, monitoring, access control and a human fallback for the cases the AI should not decide alone.
Keep it working. Models change, APIs break and your process evolves. Maintenance is part of the job.
Before comparing agencies, work out which type you need. Most fall into one of these groups.
Trust AI Agency sits in the first two groups: we automate processes and build AI products, and we stay involved until they run in production.
The details vary, but a sound engagement follows the same arc.
1. Audit. A short discovery to map your processes, tools and data, and to rank opportunities by impact and effort.
2. Scope. One well-defined first project with a measurable goal, such as "handle the first line of support" or "deliver 10 qualified leads a day".
3. Build and ship. Working software in your environment within weeks, not a slide deck. Early versions run alongside the manual process.
4. Measure. Compare results with the goal set in step 2: time saved, cost per task, response time, conversion.
5. Maintain and expand. Monitor, fix, and move to the next process once the first one has paid off.
There is no standard price list, and anyone quoting a fixed number without hearing your use case is guessing. Agencies usually charge in one of three ways:
Fixed-price project. A set scope and deliverable. Best for a first, well-defined automation.
Monthly retainer. A recurring fee for ongoing building, monitoring and improvement. Best once you have several systems running.
Hybrid. A fixed build fee followed by a smaller maintenance retainer. The most common setup.
What moves the price: the number of systems and integrations involved, how clean your data is, how much custom code is needed instead of no-code tools, compliance requirements, and the ongoing cost of the AI models and tools themselves. Ask for these costs to be itemized so you can see what is build effort and what is running cost.
Many companies added "AI" to their pitch in the last two years. These checks separate the ones that build from the ones that talk.
Red flags: guaranteed results with no discovery, vague deliverables, a proprietary platform you cannot leave, no mention of maintenance, and a pitch built around buzzwords instead of your process.
In-house team. Best when AI is core to your product and you can hire and retain specialists. Slowest to start and the most expensive fixed cost.
Freelancer. Good for a small, well-defined task. The risk is continuity: one person means one point of failure for a system your operations depend on.
AI agency. Best when you want a working system quickly, need several skills at once (workflow design, integration, AI engineering), and prefer to pay for results rather than build a team before you know what works.
Real projects from our portfolio, each with the problem, the build and the result:
AI Support Agent: a no-code support chatbot on n8n that handles around 80% of tier-1 inquiries automatically.
AI Lead Engine: an outbound pipeline that sources, scores, enriches and writes to leads, producing 10+ qualified leads a day.
ISMS Copilot: an assistant for ISO 27001 documentation that cut compliance workload by about 70%.
SocialRouter: one API and MCP server across 12 social networks, with failover between data providers.
Rainer School: an AI tutoring platform with Socratic chat, adaptive quizzes and a voice agent.
Tell us the process that costs you the most time. We will tell you if AI is the right fix.
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