LinkedIn Outreach Automation
Production · AgencyA multilingual (UA/RU/EN) lead-qualification engine. On-the-fly localization removes the bot tell; only Warm/Hot leads are escalated to a human within the hour.
Warm/Hot in 30–60 min
Tigran Musayelyan — AI Enablement Engineer
I came to AI from training people, not software development. I don’t write code — I assemble production systems from the right tools and make non-technical teams actually adopt them.
I think — the AI does.
Open to AI Engineer · AI Automation · AI Enablement roles

Tap any case to open it in full — the problem, the result with how it’s derived, and real screenshots. The build itself stays under the hood.
Years as a corporate trainer — building programs, running workshops, measuring what changed in people before and after. I optimise for adoption, not cleverness.
Not AI as a chatbot that replies. AI as an operator inside the workflow. I find where the real pain is in a manual process and assemble a system that simply does the work.
Everything below runs in production — with audit trails, quality gates and human-escalation paths. Measured outcomes, not slide-deck promises.
I don’t write low-level code and I don’t chase model hype. I pick the right tools, wire them together, and make non-technical teams actually keep using them.
Multi-agent orchestration and durable async processing, with self-healing bots wired into real operational workflows.
Prompt design, multi-model routing, and eval harnesses with accuracy gates and confusion-matrix scoring.
Retrieval pipelines, evidence sourcing with domain firewalls, and agentic workflows that act within set boundaries.
Workshops, no-code frameworks and tool matrices that get non-technical teams shipping their own tools. My core differentiator.
Scraping at scale, classification, enrichment and AI-vision tasks — turning messy public data into structured signal.
Workspace, issue trackers, chat and live C-level dashboards — systems plugged into how teams actually operate.
Tools I reach for
A multilingual (UA/RU/EN) lead-qualification engine. On-the-fly localization removes the bot tell; only Warm/Hot leads are escalated to a human within the hour.
Warm/Hot in 30–60 min
A multi-stage verification pipeline with an AI firewall over 80+ unreliable domains and a branded report output — an audit trail behind every claim.
100+ docs / day
A tiered validation system across 15+ EU competitors, saving roughly 200 analyst-hours a year of manual checking.
~€40K cost avoided
A multi-agent orchestrator covering 7 markets and 94 sources end-to-end — from scouting to published brief — for €14,680/yr saved.
~2,000% ROI
Built training programs, ran workshops, measured what changed in people before and after. Learned how adoption actually works.
Saw a lever, not a toy. Pulled apart how it worked and couldn’t stop — material creation sped up many times over.
Connected LLMs to automation. The moment AI stopped answering and started doing the work inside the workflow.
Production systems for a large European automotive retailer and agency clients — plus 6+ workshops turning PMs into builders.
“Thanks for the session — it was really cool and interesting. Top-notch delivery.”
“Thanks for the workshop, it was super interesting and useful.”
“Thanks a lot, guys! Been pretty useful!”
“Brilliant!”
Contact
Open to AI Engineer · AI Automation · AI Enablement roles. Let’s talk about what your team is still doing by hand.