Service
AI automation agency for business workflows and controlled agents.
Classification, data extraction, CRM/helpdesk actions, notifications, and human approvals in one measurable workflow.
Automate a bounded workflow—not an imaginary autonomous business.
Our AI automation services target workflows where deterministic rules struggle with unstructured text, documents, or too many variants. An agent can classify a request, extract fields, prepare a draft, and perform an approved action through an API. As an AI automation agency, we take on one such workflow at a time and measure it before connecting it to working systems.
Example workflows
- support routing and response drafting;
- document extraction into CRM or ERP;
- lead qualification and next-task creation;
- case summaries for managers and operators;
- action chains with required approval for risky steps.
How AI agent development starts
We start with one process that has a clear input, a clear result, and an accountable employee. We describe the data sources, exceptions, risky actions, and quality criteria, then test the scenario in a small prototype. Only after a measured test do we integrate the agent with your working systems and add logging, access rights, human approval, and quality monitoring.
Safe operational integration
We define permitted tools, limits, roles, and human-approval rules. Actions are logged; payments, personal data, and legally significant decisions are not delegated to an uncontrolled zero-touch workflow.
From one workflow to production
AI automation and AI agent FAQ
01Which processes are worth automating with AI?
Repetitive processes with unstructured text or documents work best: request classification, data extraction, draft preparation, knowledge base search, and task routing. We start with a narrow scenario whose result can be checked.
02Can an AI agent integrate with a CRM, ERP, or helpdesk?
Yes. The agent works through a controlled API layer and receives only the permissions it needs. The CRM, ERP, or helpdesk remains the system of record, and every important action is logged.
03Can an AI agent work fully autonomously?
Sometimes, for low-risk and well-tested operations. Payments, personal data, legally significant decisions, and non-standard cases should go to a person or require their approval.
04How is data protected in AI automation?
We restrict access by role, minimise the data passed on, log tool calls, and define retention rules. Where needed, we use isolated infrastructure or models with suitable data-processing terms.
05How do you control the quality of an AI agent?
We build a set of real test examples, measure accuracy and the share of correct refusals, analyse errors, and track metrics after launch. Model or prompt changes go through the same checks again.
Next step
Choose the first workflow to automate.
Describe the process, its inputs, and the systems involved. We will help pick the first workflow and check what an agent can safely do.