AI Agents

We connect AI tools to existing corporate systems and build custom agents. L1/L2 support, administrative automation, content management, analytics. In production, not in presentations.

Most companies test AI in a sandbox. We deploy it into production — using real-world data and integrated with existing systems. Agents manage content, handle support, process invoices, and prepare campaigns. We either build custom agents from scratch or connect off-the-shelf AI tools to what is already running in your company.


Integration into Existing Systems
Whether you use a CRM, ERP, helpdesk, or CMS—the agent connects via API or MCP and starts working within the environment your team already knows. We don't introduce a new tool; we expand your existing ones.

Custom-Built Agents
Where off-the-shelf solutions fall short, we build an agent from scratch. Trained on your specific documents, workflows, and terminology. Deployed in production, not in presentations.


Real-World Examples

L1/L2 Support
The agent resolves 80% of inquiries—trained on your documents, workflows, and terminology. The rest is escalated to a human with full context, not an empty ticket.

Administrative Automation
Invoice processing, payment matching, and anomaly alerts. The routine tasks that nobody wants to do—but must be done.

Content Management via MCP
Translation, SEO optimization, and publishing—from a single prompt, integrated with your CMS. Production-deployed on Folio. How to set up MCP in Folio CMS →

Industry-Specific Agents
Corporate knowledge bases, internal regulations, or industry documentation—an agent trained on this data provides precise answers and references the source. It doesn't guess; it escalates when uncertain.

Analytical Agents
Cash flow monitoring, sales data anomaly analysis, and scoring models. The agent alerts you before a human even notices the error.

Dev and Ops Agents
Code review, testing, and deployment. Internal tools that your development team actually uses.


How It Works

We start by mapping your workflows — identifying areas where an agent can save time or reduce error rates. Then, we propose what to integrate and what to build. We deploy, train, and measure. Agents are not a project with a fixed deadline; they are an active part of your operations, and that is exactly how we treat them.


The Agent as Part of Your SLA

As part of our Premium SLA, we train the agent specifically on your project — ensuring it knows your codebase, documentation, and internal workflows. It responds within minutes, escalates intelligently, and learns from every interaction.


An agent is not a chatbot. An agent is a colleague who never sleeps, never forgets, and escalates when uncertain.


Where can an agent save you time?