We build AI-enabled workflows with copilots, search, classification, retrieval, automation, and human review so teams can use AI inside production systems with control and visibility.
Useful AI systems need the workflow model around them: where data comes from, who can approve outputs, what happens on failure, how quality is reviewed, and how the system behaves in production.
We help define where AI adds value inside the workflow instead of treating it as a generic overlay on top of the product.
We design the data and retrieval layer carefully so AI outputs are connected to the right context and operational inputs.
Production AI needs explicit approval paths, safe failure states, auditability, and role-aware control over what the workflow can do.
We implement the layer needed to observe quality, latency, cost, and business impact so the workflow can be improved safely over time.
That means the workflow includes retrieval, review, fallback behavior, evaluation, permissions, and the monitoring needed to understand how the system behaves in production.
Yes. Human-in-the-loop review, role-aware permissions, and safe fallback states are core to how we approach operational AI.
Yes. We can connect copilots, search, document handling, and automation to existing systems if the workflow and control model are defined clearly.
Yes. AI workflows need quality review, latency and cost visibility, and operational monitoring to stay useful over time.
We can help define the use case, connect the data and control layers, and build the operational system around the model.
New product work, platform rebuilds, delivery support, or long-term engineering help. We usually reply within 1 business day.
Best for project briefs, product discussions, and technical requirements.
office.craftec@gmail.comBest for urgent questions, quick introductions, and time-sensitive follow-up.
381642187111Meetings in Novi Sad are available by appointment.
Balzakova 42, Novi Sad, SerbiaAvailable for calls and meetings during business days (CET).