$4.4M in operational impact. All documented.
We architect and orchestrate AI systems for the heavy lifts: automations, workflows, and operational intelligence that were previously impractical or impossible. Your most expensive processes become repeatable infrastructure.
Custom AI systems have never been more accessible. The challenge is not building them. It is knowing what to build, which tools to connect, and how to make the whole stack compound. ARKAI evaluates platforms, orchestrates integrations, and deploys infrastructure that creates compounding value.
Our methodology is Scout, Plan, Build. 90% of every system runs on deterministic logic: cheap, predictable, debuggable. The remaining 10% is where AI judgment earns its keep. This ships in 30 days instead of 6 months, at a fraction of the cost.
Founded by Alex Kamysz. Before ARKAI, Alex managed $2.1MM in enterprise implementations at Paycom, drove sales at Coro cybersecurity, and deployed 70+ SaaS platforms across industries. That background shaped how we work: every engagement is an evidence-based assessment under uncertainty, with human review at every decision point.
We also consult with SaaS companies navigating the shift to agentic workflows. If your engineering team is evaluating AI tooling, redesigning developer workflows, or figuring out where agents fit into your product, we can help you skip the expensive trial-and-error phase.
Deterministic core. AI tiebreak. Human in the loop.
We host a weekly AI evaluation practice, a community call where practitioners share what is working, what is breaking, and what is hype. Started as a learning project. Became an organizational capability.
Practical automation and AI systems that solve real operational problems.
Multi-agent orchestration, tool evaluation, production deployment. Not chatbots. Operational intelligence that runs unsupervised.
Turn manual processes into supervised AI workflows. Data entry, content publishing, client onboarding, and the dozen steps between.
Move, clean, and transform data across systems at scale. Product catalogs, financial transactions, CRM migrations.
127+ tool integrations across our portfolio. Connect your stack with bi-directional sync, conflict resolution, and real-time data flow.
Real projects, real metrics. Every number below is backed by portfolio evidence.
500,000+ SKUs with inconsistent categorization across multiple channels. Management had been deadlocked on taxonomy decisions for weeks.
Approach: Hybrid classification pipeline: Pydantic schema validation for deterministic rules, Claude API as tiebreak for edge cases. Delivered 2 complete taxonomy options for stakeholder decision.
Content creation required a copywriter, researcher, and social media manager. 15 to 20 hours per week of manual coordination.
Approach: Supervised AI workflow: research, draft generation, Slack emoji approval, Make.com auto-posting. Human-in-the-loop QA at every stage.
70,000+ products needed migration with inconsistent formatting, missing fields, and file size constraints.
Approach: Playwright scraping pipeline with quality scoring (0 to 1.0), automatic data normalization, and Shopify-ready CSV generation.
90% of LLM agents fail silently in production. No testing framework existed for AI-specific failure modes.
Approach: Automated failure simulation: API timeouts, rate limits, hallucinations, context overflow. 15 to 20 failure modes discovered per system before launch.
Every new client brought data in different formats: CSV, Excel, JSON, Shopify exports, legacy dumps. Onboarding took weeks.
Approach: Universal pipeline: normalize, validate (Pydantic), clean, load. Claude as tiebreak for edge cases. Now the company standard for all customer onboarding.
Tools and technologies I use in production, not just tutorials.
Three steps. No mystery consulting.
We audit your workflows and identify the highest-leverage automation target. Not every process needs AI. Most need better systems. We find the one that moves the needle.
Architecture design with deterministic validation first, AI only where it earns its keep. You see the blueprint before we write a line of code.
One workflow, defined scope, 30-day delivery. Working system in your environment with real data. Your team can maintain it after the engagement ends.
“Alex was great to work with. The whole process felt easy and smooth. He asked smart questions, gave clear direction, and knew exactly what he needed from me. Because of that, he delivered a quality product I can use right away. I see a lot of future work with him because he knows his craft.”
★★★★★— Upwork Client, Upwork
We take on 1 to 3 month engagements, remote preferred. Currently accepting new projects.