Hands-on business owners
Agencies, consultancies, and service operators in the $250k–$2M range who still run the business themselves. Want practical AI implementation — clear scope, real outcomes, no noise.
Kovis Logic · Advisory Practice · Est. 2026
Clarity over hype.
Clarity over hype.
Judgment over shortcuts.
An advisory practice for operators who want to run their AI systems — not be run by them.
01 / ABOUT
A practice built on judgment, not templates.
25+ years of engineering. Operator-level business judgment. Every engagement is scoped, time-bound, and formally closed.
Kovis Logic helps business owners implement AI with clarity and control. The thesis: most AI workflows being sold today create hidden dependencies, erode their owners' decision-making capacity, and break when they matter most.
The operators who thrive with AI will be the ones who understand what they're building, why, and when to stop.
The practice is operated by Michael — a software engineer with over 25 years of experience across SaaS, agency operations, and systems design. Remote-first. Bounded engagements only. Every engagement has a defined scope, duration, and a formal close.
02 / WHO WE SERVE
Operators, not audiences.
Built for owners who saw through the noise — and expect to be treated like the experienced operators they are.
Mid-market decision-makers
Owners and directors at $1M–$20M operations who need senior eyes on existing deployments — strategic oversight, vendor review, frameworks. Not hands-on tactical work.
Skeptical operators
People who have tried ChatGPT, bought one course that underdelivered, and now want someone technical enough to tell them what's real, what breaks, and what's worth their attention.
NOT FOR
Those looking for templates and quick wins · Enterprise procurement cycles · Anyone at the very start of their AI journey · Engagements requiring 24/7 availability or on-site presence.
03 / WHAT WE SOLVE
The missing
The missing
judgment layer.
Most AI implementations are more fragile than they appear in the demo. We identify what's real, what will break, and what is worth doing.
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PROBLEM 01
Clarity about what AI can and can't do reliably
Honest assessments grounded in technical reality — not demos, not promises, not marketing.
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PROBLEM 02
Avoiding fragile AI dependencies
Systems that don't break on Tuesday nights when API keys expire, models update, or connectors lose authentication.
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PROBLEM 03
Implementation that actually works
Working setups with documentation — owned by you, maintainable by you. Not a rented template from someone else's stack.
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PROBLEM 04
Team and vendor oversight
Senior review of what internal teams or external vendors are shipping. A fractional AI CTO posture without the retainer burden.
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PROBLEM 05
Decision frameworks for ongoing investment
How to evaluate vendors, brief teams, budget, and measure ROI as new AI opportunities emerge each quarter.
04 / CONTACT
Direct contact.
Direct contact.
No forms.
If you think we might be able to help, write. Short emails preferred.