AI automation
We connect AI to work your team already does. Voice agents that answer calls, computer vision on camera feeds, and automated steps that cut repetition without removing people from decisions that matter.
We don't ship AI demos that never go live. Everything we build plugs into existing processes: your phone system, your cameras, your CRM, your ticketing tool. With monitoring, clear limits, and a human fallback when needed.
Cantacuzino Castle is a good example. We built the apps and platforms first, then layered AI on top. Voice agents covered five internal departments so staff weren't answering the same questions all day. The AI worked because the software underneath was already running the operation.
We also built AI vision pipelines for NEI Security's surveillance workflows. Every project ties back to something measurable: fewer missed calls, faster response, less manual data entry.
Problems we solve
- Repetitive calls and tickets that drain staff time
- Manual monitoring of camera or document streams
- AI experiments that never connect to real systems
- Automation without audit trails or human handoff
Who this is for
- Operations teams with high-volume repetitive communication
- Security and facilities teams using camera workflows
- Companies with clean enough software foundations to automate on top
- Leaders who want pilots that can become production systems
What we deliver
- AI voice agents for inbound and outbound communication
- Computer vision and event detection for physical environments
- Intelligent workflow automation and task orchestration
- Document and data extraction pipelines
- Integration with telephony, CRM, ERP, and ticketing systems
- Monitoring, logging, and human handoff design
- Pilot-to-production rollout with training and documentation
Technologies & stack
- Large language models and agent frameworks
- Speech-to-text, text-to-speech, and real-time voice pipelines
- Computer vision models and edge deployment
- Python, TypeScript, and API-first architectures
- Cloud GPU inference and on-premise options where required
How we work
- 01Identify a narrow workflow with clear success metrics
- 02Connect to the systems of record and define guardrails
- 03Run a supervised pilot with human fallback
- 04Expand coverage once quality and monitoring are stable
Selected reference
Cantacuzino Castle: mobile apps and digital ticketing first, then AI voice agents across five departments. Over €250,000 in revenue in six months. NEI Security: AI vision for surveillance with event detection and operational alerts.
Frequently asked questions
Do we need existing software before AI automation?
It helps. At Cantacuzino Castle, AI worked because apps and platforms were already running operations. If foundations are missing, we often build those first.
Will AI replace our staff?
Our goal is to remove repetitive load, not remove accountability. We design human handoff for exceptions and decisions that need people.
How do you measure success?
We agree metrics up front: missed calls, response time, manual entries avoided, or detection accuracy. Without a metric, it is just a demo.
Can you start with a small pilot?
Yes. We prefer a bounded pilot with monitoring, then expand. That keeps risk and cost under control.
Related services
Want to automate a real workflow?
Describe the process you want to improve. We will help you assess whether AI automation is the right fit and what a production rollout could look like.
Get in touch