I
Build AI Systems
That Work in Production
5 years shipping enterprise data infrastructure. Now I build and deploy GDPR-compliant, EU-hosted AI for healthcare clinics and businesses — and write about what actually happens.
How Engagements Work
Every project follows the same structure: audit what you have, build what you need, and support it after launch. Founder-led from start to finish.
AI Systems Audit
I map your workflows, measure what each task actually costs in time, and tell you which ones are worth automating. You get a prioritized list with real numbers — hours recoverable per week, projected ROI — before any code gets written.
Production Build
Same approach behind a dental clinic's AI receptionist — 56 patient conversations in month one, 111 by month four. Built for production, not a demo. You review progress weekly and approve each step before I move forward.
Ongoing Support
Performance reviews at 30 and 90 days — you see exactly what the investment delivered. I keep monitoring and iterating as your business changes. Month-to-month, no lock-in. Full documentation so you are never dependent on me.
See these services in action: AI Reception for Medical Clinics.
How It Works
A simple three-step process designed for zero disruption and maximum clarity at every stage.
Audit
1 weekI sit with your team and map how work actually flows — every handoff, every exception, every decision that never got documented. You get a prioritized list of what to automate and what it saves. Zero disruption to your operations.
Build
2-4 weeksI build and test against your actual workflows, not a simulation. Weekly checkpoints — you approve each step before I move forward. Same methodology behind the AI receptionist that went from 56 to 111 patient conversations per month.
Launch
OngoingI stay on after launch — monitoring, fixing what breaks, improving what works. Performance reviews at 30 and 90 days. Full documentation and knowledge transfer so you can run it without me if you want to.
Built on Experience, Not Hype
Five years shipping enterprise data infrastructure — a platform that automates data warehouse code generation across 12+ target technologies. That background shapes everything. When I build AI, it ships production-grade from day one or it does not ship.
AI receptionist at a dental clinic — staff took 3.7 hours to respond, AI does it in 30 seconds. Grew from 56 to 111 patient interactions per month. Multi-model dispatch — 458 tasks, 5 projects, $70 total. Fine-tuned a model on enterprise SQL for under $1. Ships to production, not a pitch deck.
Founder-led. I architect it, I deploy it, I support it — no handoffs to a junior, no account manager in between. I track what actually changed: hours back, errors down, cost per action. Performance review at 30 and 90 days so you see the real numbers, not a slide deck.
Matas Čereškevičius
Founder
5 years building enterprise data infrastructure — a platform automating data warehouses across 12+ target technologies. Now: AI receptionist deployed at a European dental clinic, multi-model dispatch system running 458 tasks at $70 total. I write about what actually happens when you deploy AI.
Frequently Asked Questions
Straight answers to common questions about AI automation, timeline, security, and ROI.
Get In Touch
Ready to reclaim your time? Drop us a message and we'll get back to you within 24 hours with a clear plan for your automation needs.
Email us at
info@mindmomentum.ltWant to Talk Through Your Situation?
Not every workflow needs AI. I will tell you if yours does not. No pitch, no pressure — just an honest conversation about your specific situation.
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Built. Deployed. Running.
Real systems in production. No fabricated metrics, no placeholder logos — just work we have actually shipped.
The Clinic That Never Misses a Booking
A busy dental clinic was losing evening and weekend bookings — patients would visit the website, find no way to book, and move on. Now patients message the site like texting — ask about availability, book, reschedule, or cancel, all in a conversation. Staff arrive each morning with the schedule already updated and patient details synced to their records. When the clinic updates hours or adds a new practitioner, the system picks it up automatically — no manual updates needed.
Our Own Outreach, Automated
I built this one for myself. Finding the right prospects, writing personalised emails, tracking who needs a follow-up — it was eating hours every week that should have gone to actual client work. Now the system handles it: finds companies that match my profile, writes emails that reference what each company actually does, and follows up on a schedule. I use it every day.