AI Receptionist
Natural customer voice conversations 24/7: instant lead qualification, automated calendar scheduling, and multilingual support with zero hold time.
Request Voice Agent →Giannis Margetis — AI Systems Architect. I find the exact operational bottleneck costing your business the most, build the AI system that eliminates it, and stay engaged until it performs. No demos. No vague promises. Production systems with measurable output.
The models exist. The budgets exist. What's missing is the strategic call: what's worth building, what to ignore, and what a mistake costs two years later.
Most implementations fail before the first tool is chosen — because they solved the wrong problem with precision. My principle is different: I start from the operational bottleneck.
Before any technology enters the conversation, I audit the workflow: what is truly worth automating, what isn’t, and the exact ROI constraints. Most of the value is decided here.
I set the architectural direction: what gets built, what gets connected, what gets avoided — and what each path costs over years, not quarters. Clear blueprints, reasoning shown.
I implement with your team, not around it: voice agents, lead machines, dashboards — hardened systems that survive real operating conditions, not just a demo.
Full handover: source code, credentials, documentation, team training. Most clients continue on retainer for ongoing system evolution. That is optional. Operating the system independently is not.
Five production-grade systems, each built to eliminate a specific category of operational drag or revenue leak. Integrated into your existing tools. Supported as long as you need.
Natural customer voice conversations 24/7: instant lead qualification, automated calendar scheduling, and multilingual support with zero hold time.
Request Voice Agent →Precision B2B outreach at scale: identifying, enriching, and initiating warm contact with verified decision-makers — completely hands-free.
Request Lead Pipeline →Multi-channel dynamic email & SMS sequences that adapt in real time to prospect behavior, recovering lost pipeline without manual follow-up.
Request Auto-Nurture →Transform scattered business data into executive clarity: automated bottleneck detection, predictive revenue forecasting, and resource efficiency.
Request BI Engine →State-of-the-art interactive web platforms with frictionless booking machines, qualification flows, and real-time database sync.
Request Web System →Not speculative mockups. These are functional architectures designed to answer calls, qualify B2B prospects, and surface executive telemetry without human friction.
Hello, I have severe toothache and need an appointment with Dr. Georgiou as soon as possible tomorrow.
Good evening Eleni. I understand it is urgent. Dr. Georgiou has emergency availability tomorrow morning at 09:30 or in the afternoon at 14:15. Which time slot suits you better?
09:30 is perfect. Can you book that for me?
Done! Your appointment is locked for tomorrow, Friday at 09:30 AM with Dr. Georgiou. I have just sent a confirmation SMS with Google Maps directions to your phone.
Every deployment is engineered around an operational bottleneck that directly leaks time or revenue. Here is what happens when those leaks are plugged.
38% of patient phone inquiries were missed during lunch hours and after 18:00. Reception staff spent 2.5 hours every morning returning voicemail and manually reconciling paper booking books.
Deployed custom low-latency Greek voice AI agent connected directly to the clinic’s booking software and SIP phone lines.
Commercial reps spent over 20 hours weekly manually searching business registries, verifying contact details, and drafting generic outreach emails to facility managers.
Built an autonomous prospecting pipeline: automated business registry ingestion, LinkedIn/Apollo enrichment, AI custom value angle generation, and HubSpot deal creation.
Partners waited 15 days past month-end to understand billable realization rates, operational bottlenecks, and client invoice aging across 6 practice areas.
Engineered an autonomous business intelligence layer: unified ERP billing feeds, automated anomaly detection, and a weekly executive digest delivered directly to partners.
Choose your focus area and adjust variables to model your operations. See transparent projections of labor savings or top-line revenue recovered through autonomous AI infrastructure.
*Estimates based on empirical data from active Greek & European SME automation deployments. Exact figures verified during the 30-Minute AI Opportunity Audit.
AI Systems Architect
EECE, University of Patras. I spent years in software engineering and automation watching businesses spend money on tools that never shipped value. Today I engineer and deploy autonomous production AI systems that eliminate operational drag and deliver measurable ROI — handing them over to teams that run them independently.
An invite-only collective of operators, founders and engineers building real production AI systems. Currently in closed alpha with our founding members.
The AI Receptionist and Lead Generation systems go live in 2–4 weeks. More complex multi-system architectures run 6–8 weeks. Every project starts with a written scope before any build begins.
No. You get full access to all source code, workflow files, and credentials. Your team is trained to operate everything. For businesses that want continuous system evolution — new capabilities, model fine-tuning, performance optimization — ongoing retainer support is available at competitive rates. Most clients continue. It is optional, not required.
Whatever solves the problem cleanest. LLM providers, voice platforms, n8n, Make, custom Python where the commercial tools fall short. The stack is chosen per case — never the other way around.
Projects typically range from €1,500 to €15,000 depending on architecture complexity and system integrations. Optional ongoing support and continuous evolution starts from €200/month. Every build is fixed-scope with clear deliverables and zero surprise billing.